Introduction
Meningiomas represent approximately 30% of all primary brain neoplasms Reference Ogasawara, Philbrick and Adamson1,Reference Wiemels, Wrensch and Claus2 and can have a substantial impact on the health-related quality of life (HRQOL) of patients before and after treatment. Reference Corniola and Meling3–Reference Haider, Taphoorn, Drummond and Walbert7 Recently, there has been an increased focus on the effect of meningiomas on HRQOL. Considering the generally favourable survival rates after treatment, understanding the factors affecting HRQOL is crucial for tailoring patient care.
Previous work in this field is limited, with prior reviews primarily focusing on clinical outcomes, such as overall survival, recurrence rates or neurocognitive impairment. Reference Corniola and Meling3–Reference Frances, Murray, Wright, Velikova and Boele5 A predominant portion of earlier reviews investigated HRQOL broadly in patients with a variety of brain tumours or only in relation to a handful of specific factors. Reference Corniola and Meling3,Reference Zamanipoor Najafabadi, Peeters and Dirven6–Reference San, Rahman and Sanmugananthan9 Our review is novel with its focus on identifying a comprehensive array of factors that may affect HRQOL in patients with meningioma.
Methods
Eligibility criteria
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to report results, and the PICO (Participants, Interventions, Comparators and Outcomes) framework was used to select studies for inclusion. Reference Moher, Liberati, Tetzlaff and Altman10 The inclusion criteria were (1) adults 18 years of age or older; (2) currently diagnosed with meningioma or have undergone treatment for meningioma; (3) average follow-up time is less than 10 years; (4) patients at any treatment stage, to fully assess HRQOL impacts across the disease spectrum; (5) research examining clinical, treatment, psychological, sociodemographic factors, disease-specific symptoms and patient satisfaction with treatment as associated with HRQOL; (6) studies comparing patients with and without treatment, with and without meningioma, or HRQOL assessments before and after treatment, as well as those without any comparison group; and (7) studies that explicitly measured HRQOL or a proxy using questionnaires administered to patients or caregivers or providers on their behalf. Regarding treatment as a factor (e.g. surgery, radiotherapy), studies had to either compare meningioma patients with and without treatment or compare HRQOL measurements before and after treatment.
Exclusion criteria were (1) studies involving paediatric populations, as meningiomas typically affect middle-aged or older adults; (2) studies where the age criterion was unspecified, unless the mean and lower age limit were above 18; (3) studies focused on rare, treatment-related complications or complementary/alternative treatments; (4) sources of grey literature such as editorials, expert opinion and policy documents, unless containing references to peer-reviewed research; and (5) studies published in a language other than English due to limited resources and capacity for language translation. There were no restrictions imposed on geographic location, setting or publication year. Eligible study designs were cross-sectional, longitudinal, observational, experimental, quasi-experimental, case series and case reports, with a requirement for originality and peer-reviewed publication.
Search strategy
An academic librarian provided search strategy guidance on five electronic databases: Ovid EMBASE, Ovid MEDLINE, EBSCO CINAHL, Scopus and Ovid PsycINFO. Details of the strategy and keywords for MEDLINE, which were adapted for each database, are found in Supplementary Appendix I. Reference lists of included studies and relevant reviews were examined to identify further studies for inclusion through snowballing methods. We received biweekly email updates from MEDLINE based on the search strategy up to February 2024 to ensure the review was up to date.
Study selection
Search results were uploaded to Covidence. Titles and abstracts of studies were screened using PICO and exclusion criteria by two independent reviewers (MF and KJ). As a measure of interrater reliability, an average Cohen’s kappa statistic of 0.9 was achieved before proceeding to the full-text stage, which indicated near-perfect agreement between reviewers. Relevant abstracts underwent an independent full-text review for inclusion by the same two independent reviewers using the same eligibility criteria.
Critical appraisal
The methodological quality of each included article from the full-text screen was assessed by two independent reviewers (KJ and MA) using a Joanna Briggs Institute (JBI) critical appraisal tool specific to the study type or design. Reference Barker, Stone and Sears11 Studies demonstrating significant flaws or a high risk of bias received a poor assessment and were thus excluded.
Data extraction
Data was extracted from included studies and stored in an Excel spreadsheet. Title, authors, year of publication, study design, study setting, PICO, participant demographics, duration of follow-up, HRQOL tool(s) used, key findings relevant to the research question, strengths/limitations and disclosures were extracted from each included study. Authors of studies with missing data were contacted up to two times over email to request additional information where required.
Data synthesis and analysis
Extracted data were synthesized and organized by theme to reflect the main HRQOL factors investigated by the included studies. A meta-analysis was deemed infeasible due to heterogeneity in multiple areas across the studies, including the measurement of HRQOL factors, analytic approaches employed and outcome reporting modalities, which would compromise the validity of any pooled effect size calculations. Reference Borenstein, Hedges, Higgins and Rothstein12,Reference McKenzie and Brennan13 Results were reported in accordance with the BMJ Synthesis Without Meta-Analysis (SWiM) Reporting Guidelines. Reference Campbell, McKenzie and Sowden14 We present a narrative synthesis highlighting the key factors potentially influencing HRQOL in meningioma patients, with consideration of the strengths and limitations of the evidence and any potential biases.
The protocol for this systematic review was registered on the International Prospective Register of Systematic Reviews, PROSPERO, and is available online: https://www.crd.york.ac.uk/prospero/. The registration number is CRD42023431097.
Ethics approval
Institutional Research Ethics Board approval was not required.
Results
Study characteristics
A total of N = 3000 studies were identified through database searches from EMBASE (N = 1258), Scopus (N = 1020), MEDLINE (N = 495), CINAHL (N = 85) and PsycINFO (N = 22), including an additional N = 120 identified via MEDLINE biweekly email updates. Two more studies were identified via snowballing. After duplicates were removed, N = 1550 studies underwent title and abstract screening, of which N = 38 met eligibility criteria and were sought for full-text retrieval. One full-text study was unavailable leaving N = 37 studies for full-text review. Two studies were subsequently excluded for failure to meet inclusion criteria, and four additional studies were also excluded after critical appraisal due to a combination of reasons each contributing to a higher risk of bias. A total of N = 31 studies were included for data extraction and synthesis after consensus. The results of the search and the study inclusion process are depicted in Figure 1.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram of study inclusion.
A summary of characteristics of the included studies is presented in Table 1. Of the N = 31 included studies, cross-sectional designs were the most common (N = 16), followed by retrospective cohorts (N = 7) and prospective cohorts (N = 7), with only one case-control (N = 1). Studies were conducted in 14 different countries, the most common being Germany (N = 8), USA (N = 4), the Netherlands (N = 4) and Australia (N = 3). The HRQOL of meningioma patients was compared to healthy controls in four studies and normative population data in eight. Pre-treatment HRQOL data were compared to post-treatment data in 11 studies of which one involved comparisons to both normative and preoperative data. Other studies included HRQOL comparisons based on different meningioma locations, different brain tumours, previous cohorts and on the basis of age, surgical approach, psychological impairments, epilepsy and sleep disturbance. Five studies reported HRQOL results of meningioma patients without any comparisons to other groups.
Summary of characteristics of included studies (N = 31)
Notes: AED = antiepileptic drug; ASBQ = Anterior Skull Base Questionnaire; BL = baseline; CC = case-control; CS = cross-sectional; CSF = cerebrospinal fluid; EEA = endoscopic endonasal approach; EORTC QLQ-BN20 = European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Brain Neoplasm 20; EORTC QLQ-C30 = European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30; EQ-5D = EuroQOL-5 Dimensions; FACT-Br = Functional Assessment of Cancer Therapy-Brain; FACT-G = Functional Assessment of Cancer Therapy-General; GBM = glioblastoma patients; HRQOL = health-related quality of life; IQR = interquartile range; KPS = Karnofsky performance scale; LPPM = lateral posterior surface of the pyramid meningioma patients; MGM = meningioma patients; PC = prospective cohort; PCM = petroclival meningioma patients; PS = planum sphenoidale; PT = pituitary tumour patients; PTBE = peritumoural brain oedema; PTSS = post-traumatic stress symptoms; RC = retrospective cohort; SF-36 = 36-item Short Form Survey; SNOT-22 = Sinonasal Outcome Test 22; SO = supraorbital; SRT = stereotactic radiotherapy; TS = tuberculum sellae; UK = United Kingdom; USA = United States of America; VAS = Visual Analogue Scale; WHO = World Health Organization; ↑= increase(d); ↓= decrease(d).
Over one-third of studies (N = 11) included patients with all types of meningioma, typically without reporting results by specific location. The majority of the remaining studies specifically focused on meningiomas of intracranial (N = 8), skull base (N = 5) or sphenoid wing (N = 2) locations. In terms of treatment, 21 studies included patients post-surgery, and only three focused solely on radiotherapy. Six focused on surgery and/or radiotherapy, two on patients prior to treatment and one on patients in any treatment phase.
HRQOL of meningioma patients
In addition to factor-specific findings, several studies also examined the overall status of HRQOL in meningioma patients compared to healthy populations (N = 11). Reference Pintea, Kandenwein and Lorenzen15–Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25 Although not a focus of our review, the results provide important context for our findings, suggesting that meningioma patients as a whole tend to experience inferior HRQOL in cognitive functioning, general health and vitality and most notably in role-physical, role-emotional and social functioning Reference Pintea, Kandenwein and Lorenzen15–Reference Nassiri, Price and Shehab19 compared to healthy populations, irrespective of any treatment-related improvements.
Factor-specific findings
Tables 2, 3 and 4 present key findings from the included studies related to patient-, tumour- and treatment-related factors, respectively. A detailed summary of results is provided in Supplementary Appendices II–IV. Statistically significant or clinically relevant results are presented here.
Summary of patient-related factors explored and their association with health-related quality of life (HRQOL)
Notes: ADS = Allgemeine Depressionsskala; ASA = American Society of Anesthesiologists; KPS = Karnofsky performance scale; PROs = patient-reported outcomes; PTSS-10 = Post-traumatic Symptom Scale-10 items; STAI-S = State-Trait Anxiety Inventory-State; STAI-T = State-Trait Anxiety Inventory-Trait; WHO = World Health Organization; ↑= increase(d); ↓= decrease(d).
Summary of tumour-related factors explored and their association with health-related quality of life (HRQOL)
Notes: MGM = meningioma; PTBE = peritumoural brain oedema; ↑= increase(d); ↓= decrease(d).
Summary of treatment-related factors explored and their association with health-related quality of life (HRQOL)
Notes: AED = antiepileptic drug; BL = baseline; CSF = cerebrospinal fluid; KPS = Karnofsky performance scale; SRT = stereotactic radiotherapy; ↑ = increase(d); ↓ = decrease(d).
Patient-related factors
Various patient-related factors and their associations with HRQOL in meningioma patients were explored across studies. Three of five studies on comorbidities evaluated severity using scales such as the American Society of Anesthesiologist classification and Charlson Comorbidity Index, Reference Keshwara, Gillespie and Mustafa18,Reference Timmer, Seibl-Leven and Wittenstein26,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27 while the others looked at the effect of a certain comorbidity. In one study, cardiac disease specifically was associated with lower postoperative HRQOL, Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 and another found that diabetes was associated with lower 36-item Short Form Survey physical component scale (SF-36 PCS), mental component scale (MCS) and Functional Assessment of Cancer Therapy (FACT) scores. Reference Tanti, Marson and Jenkinson29 Although cohesive deductions could not be made due to heterogeneity in the scales used, the presence of severe comorbidities appears to be consistently associated with inferior HRQOL.
Functional status, primarily assessed using the Karnofsky Performance Scale (KPS), was found to influence HRQOL across six studies. Five studies reported a positive association between functional status and postoperative HRQOL, with four specifically finding that patients with higher KPS scores tended to have better SF-36 PCS and MCS scores. Reference Pintea, Kandenwein and Lorenzen15,Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20,Reference Timmer, Seibl-Leven and Wittenstein26,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27 One study found a negative association between preoperative, as opposed to postoperative, KPS score and postoperative HRQOL. Reference Ouyang, Zhang, Wang, Li and Chen30 This finding mirrors other work where patients with higher preoperative HRQOL tended towards worsening scores post-surgery. Reference Jakola, Gulati, Gulati and Solheim31
Two studies exploring fatigue found a significant negative association with postoperative HRQOL. In one study, greater fatigue was associated with lower postoperative EuroQOL-5 Dimension (EQ-5D) scores on univariate analysis, Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20 and another demonstrated a strong correlation between increased fatigue and lower global HRQOL across all follow-up time points. Reference Nassiri, Price and Shehab19
In terms of the impact of sleep, greater sleep quality was associated with better HRQOL Reference Lin, Chen, Wang, Lin, Lee and Chiu32 and increased sleep disturbance was associated with worse HRQOL Reference Nassiri, Price and Shehab19 as assessed by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ) tools. Another study found that patients with sleep disturbance had lower PCS and MCS scores and lower scores in all individual domains of SF-36, except for physical functioning. Reference Zhang, Wang and Gu33
Three studies Reference Tanti, Marson and Jenkinson29,Reference Wagner, Shiban and Lange34,Reference Kangas, Williams and Smee35 examined the influence of psychological impairment on HRQOL in meningioma patients. One investigated the influence of abnormal preoperative anxiety, post-traumatic stress symptoms (PTSS) and depression scores on HRQOL before and after surgery and found that they were associated with decreased EuroQOL-5 Dimension 5 Level (EQ-5D-5L) and SF-36 scores. Reference Wagner, Shiban and Lange34 Similarly, another found that elevated PTSS scores were associated with reduced physical, emotional and functional well-being Reference Kangas, Williams and Smee35 . Depression was found to be associated with reduced MCS scores on SF-36. Reference Tanti, Marson and Jenkinson29,Reference Wagner, Shiban and Lange34
The impact of illness perception on HRQOL in meningioma patients was explored in one study Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20 , which found negative illness perception to be associated with decreased EQ-5D scores. Likewise, the absence of social support was linked with compromised HRQOL. Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20 Indirect insights on social support also emerge from Krupp et al.’s work exploring the influence of marital status on HRQOL, which may serve as a proxy for social support. Their findings suggest that patients who are single express lower life satisfaction compared to those in marital or partnered relationships. Reference Krupp, Klein, Koschny, Holland, Seifert and Meixensberger36
Several other patient-reported outcomes were examined by a limited number of studies. Headaches at presentation were associated with increased preoperative HRQOL in one study, Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37 but others found no relationship. Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Jones, Iannone and Patel38,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 Lower global HRQOL correlated with decreased cognitive, physical and social function and increased pain. Reference Nassiri, Price and Shehab19
Mixed results emerged across 14 studies examining the impact of age on HRQOL. Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20,Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Timmer, Seibl-Leven and Wittenstein26,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Jakola, Gulati, Gulati and Solheim31,Reference Kangas, Williams and Smee35–Reference Wirsching, Morel, Roth and Weller42 Interestingly, three studies determined that younger age was associated with worse HRQOL Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Krupp, Klein, Koschny, Holland, Seifert and Meixensberger36,Reference Wirsching, Morel, Roth and Weller42 regarding extended recovery, lower self-esteem and reduced life satisfaction. Other studies, however, found that older age was associated with varying degrees of inferior HRQOL. Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20,Reference Timmer, Seibl-Leven and Wittenstein26,Reference Jones, Iannone and Patel38 Specifically, one found that individuals aged >75 exhibited worse physical functioning scores. Reference Timmer, Seibl-Leven and Wittenstein26 Most studies compared age by dichotomizing participants as above or below the mean or median age, and those finding significant associations often had a broader age range beginning in the 20s, suggesting that differences in HRQOL may become more apparent with wider ranges.
The influence of sex or gender on HRQOL was assessed in 12 studies. Reference Pintea, Kandenwein and Lorenzen15,Reference Keshwara, Gillespie and Mustafa18,Reference Pettersson-Segerlind, von Vogelsang and Fletcher-Sandersjoo22,Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Tanti, Marson and Jenkinson29,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Krupp, Klein, Koschny, Holland, Seifert and Meixensberger36,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40,Reference Wirsching, Morel, Roth and Weller42 Among these, four found that females generally exhibited lower HRQOL scores compared to males, both on a global scale and within specific domains such as physical functioning and mobility, while also reporting higher levels of pain. Reference Pintea, Kandenwein and Lorenzen15,Reference Pettersson-Segerlind, von Vogelsang and Fletcher-Sandersjoo22,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 In another study, single men were found to report lower life satisfaction than single women. However, when assessing sex independently, no statistically significant differences were observed between males and females. Reference Krupp, Klein, Koschny, Holland, Seifert and Meixensberger36 Six of the 12 studies failed to establish any significant link between sex and HRQOL in meningioma patients. Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Tanti, Marson and Jenkinson29,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40,Reference Wirsching, Morel, Roth and Weller42 Differences in participant characteristics, treatment phases and HRQOL assessment tools, however, make it challenging to directly compare all 12 studies.
Employment status was associated with HRQOL in three studies. Reference Keshwara, Gillespie and Mustafa18,Reference Tanti, Marson and Jenkinson29,Reference Wirsching, Morel, Roth and Weller42 Using multivariate regression analysis, each study found a statistically significant association between unemployment and inferior HRQOL scores. This finding was observed when evaluating the influence of preoperative Reference Wirsching, Morel, Roth and Weller42 and postoperative employment status on EORTC QLQ scores. Reference Keshwara, Gillespie and Mustafa18,Reference Tanti, Marson and Jenkinson29
Education level was evaluated by three studies, of which two found a statistically significant association with HRQOL. Reference Keshwara, Gillespie and Mustafa18,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Wirsching, Morel, Roth and Weller42 One found lower education level to be a determinant for a decreased PCS on SF-36, Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27 and the other noted higher education levels were significantly associated with overall better EORTC QLQ-C30 scores. Reference Keshwara, Gillespie and Mustafa18 Both of these studies were focused on long-term HRQOL outcomes following diagnosis and treatment of meningioma. The study failing to find a significant association was potentially influenced by recall bias due to retrospective interrogation. Reference Wirsching, Morel, Roth and Weller42 The categories used to define educational level also varied between studies, potentially influencing the findings.
Tumour-related factors
The effect of tumour size on HRQOL was investigated across eight studies. Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Jakola, Gulati, Gulati and Solheim31,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41,Reference Wirsching, Morel, Roth and Weller42 Only three reported a significant association, and no trends were observed. Greater tumour size was associated with lower preoperative HRQOL via Anterior Skull Base Questionnaire (ASBQ) Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37 and lower postoperative HRQOL via KPS in univariate, but not multivariate, analysis. Reference Ouyang, Zhang, Wang, Li and Chen30 One study found that greater tumour size before study participation was associated with lower PCS via SF-36. Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27
Ten studies Reference Keshwara, Gillespie and Mustafa18,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Jakola, Gulati, Gulati and Solheim31,Reference Wagner, Shiban and Lange34,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41–Reference Lisowski, Tromel and Lutyj43 evaluated tumour location as a potential factor affecting HRQOL, with only one showing any significant association. Specifically, posterior skull base locations were linked to compromised role functioning, motor dysfunction, communication deficits and leg weakness compared to anterior/middle locations. Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23 This study explored specific localizations within skull base meningiomas, Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23 while the others only compared findings from skull base meningiomas to other broader categories of locations such as frontal or convexity meningiomas. This discrepancy suggests that the impact of tumour location on HRQOL might be more nuanced and context-dependent, though more uniform evaluation is needed.
Regarding tumour laterality, two of four studies Reference Benz, Wrensch and Schildkraut16,Reference Keshwara, Gillespie and Mustafa18,Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Kangas, Williams and Smee35 found significant associations with HRQOL, though conflicting findings were reported. One study linked right-sided tumours and impaired HRQOL, Reference Benz, Wrensch and Schildkraut16 whereas the other study identified a comparable association with left-sided tumours. Reference Kangas, Williams and Smee35 Differences in intervention type, follow-up period, study design and HRQOL metrics used may have contributed to differing results.
Among three studies exploring the impact of histologic grade on HRQOL, Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Wirsching, Morel, Roth and Weller42 a significant univariate association was found in only one. Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20 The other two studies reported either minimal data Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 or acknowledged potential selection bias in favour of patients with lower WHO grade meningiomas. Reference Wirsching, Morel, Roth and Weller42
Other tumour characteristics, including adhesion of the tumour to surrounding structures, tumour encasement and tumour blood supply, were found to be associated with KPS scores by a single study. Reference Ouyang, Zhang, Wang, Li and Chen30 However, the overall effect of these particular characteristics is difficult to ascertain due to a lack of corroborating evidence from additional studies.
The possible influence of various meningioma complications on HRQOL was investigated across several studies. Peritumoural brain oedema (PTBE) was investigated in three, Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Nassar, Smolanka, Smolanka, Chaulagain and Devinyak44 two of which found the presence of PTBE to be negatively associated with postoperative HRQOL. For one study, the association was found only in univariate analysis. Reference Ouyang, Zhang, Wang, Li and Chen30 Another revealed lower KPS scores at three months post-surgery in patients with preoperative PTBE. Reference Nassar, Smolanka, Smolanka, Chaulagain and Devinyak44 As cohort studies, both lacked sufficient information regarding patient follow-up and used KPS to measure HRQOL, which may be a limitation as the KPS tool is a non-specific measure of HRQOL focusing on functional status. Furthermore, both studies focused on sphenoid wing meningiomas, limiting the generalizability of results to other locations.
It is difficult to make conclusive remarks on epilepsy and sensory dysfunction as potential determinants of HRQOL as significant results were only obtained from single studies. One study found that surgically treated meningioma patients with epilepsy had impaired HRQOL scores on the Functional Assessment of Cancer Therapy-Brain (FACT-Br) and in all domains of SF-36, except for bodily pain, compared to those without epilepsy. Reference Tanti, Marson and Jenkinson29 Visual dysfunction was associated with lower preoperative HRQOL, Reference Ouyang, Zhang, Wang, Li and Chen30 and hypo- or anacusis was associated with lower vitality scores. Reference Pintea, Kandenwein and Lorenzen15 More research is required as associations between visual, olfactory and gustatory dysfunction and postoperative HRQOL were not consistently studied.
Three studies Reference Waagemans, van Nieuwenhuizen and Dijkstra21,Reference Pettersson-Segerlind, von Vogelsang and Fletcher-Sandersjoo22,Reference Wagner, Shiban and Lange34 evaluated the effect of neurological function on postoperative HRQOL, all finding a statistically significant positive association. Decreased postoperative neurological function measured via modified McCormick scale grade was associated with lower scores in the EQ-5D mobility domain, Reference Pettersson-Segerlind, von Vogelsang and Fletcher-Sandersjoo22 and lower executive functioning was associated with lower scores on all SF-36 domains, except for bodily pain. Reference Waagemans, van Nieuwenhuizen and Dijkstra21 Wagner et al. explored improvements in neurological function as a potential factor and discovered greater improvements to be associated with better MCS values on SF-36. Reference Wagner, Shiban and Lange34
A range of other neurological problems were linked to worse postoperative HRQOL in four separate studies. Reference Pintea, Kandenwein and Lorenzen15,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Tanti, Marson and Jenkinson29,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 These issues included optic nerve compression, Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 proptosis, Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 intracranial hypertension, Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 hemiparesis, Reference Pintea, Kandenwein and Lorenzen15,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 hemiataxia, Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 seizures Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 , aphasia, Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 swallowing disturbances Reference Pintea, Kandenwein and Lorenzen15 and motor/sensory deficits. Reference Tanti, Marson and Jenkinson29 However, these findings mainly emerged in individual studies and would benefit from additional research to solidify their validity. Other research examining more broadly the effects of preoperative neurological symptoms Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41 and postoperative neurological deficits Reference Wirsching, Morel, Roth and Weller42 failed to find connections, rendering the impact of these various neurological problems on HRQOL uncertain.
Evidence for the clinical factors of symptoms and time since diagnosis was insufficient to allow for proper prognostic assessment.
Finally, four studies exploring tumour recurrence as a factor affecting HRQOL failed to find any significant associations. Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Tanti, Marson and Jenkinson29,Reference Jones, Iannone and Patel38,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 However, to draw definitive conclusions, larger-scale prospective research is warranted, given that the current findings predominantly stem from small, cross-sectional and retrospective cohorts.
Treatment-related factors
Seven studies Reference Jakola, Gulati, Gulati and Solheim31,Reference Wagner, Shiban and Lange34,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37–Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41,Reference Wirsching, Morel, Roth and Weller42 evaluated the effect of surgical resection on HRQOL in meningioma patients. All but one Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 found a statistically significant difference between HRQOL values before and after surgery. HRQOL tended to be worse in the immediate postoperative period before returning to preoperative levels in the first several weeks following surgery and continuing to improve long term. Reference Jakola, Gulati, Gulati and Solheim31,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41 While patients still had worse on average HRQOL compared to healthy populations, surgery appears to have a beneficial effect on long-term HRQOL. Domains of HRQOL most improved at one-year post-surgery include headaches, seizures, role limitations due to physical problems and role limitations due to emotional problems. Reference Wagner, Shiban and Lange34,Reference Wirsching, Morel, Roth and Weller42 Notably, one study found patients with better preoperative scores tended to report postoperative worsening of HRQOL scores. Reference Jakola, Gulati, Gulati and Solheim31 Further research examining this possible association is warranted.
Six studies Reference Nassiri, Price and Shehab19,Reference Pettersson-Segerlind, von Vogelsang and Fletcher-Sandersjoo22,Reference Kofoed Lauridsen, Ciochon and Tolver24–Reference Timmer, Seibl-Leven and Wittenstein26,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37 evaluated time since surgery as a distinct factor impacting HRQOL, with only one Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37 noting a significant association. Unlike the other 5 studies with follow-up periods exceeding 12 months post-surgery, this study conducted follow-up immediately after surgery and at varying intervals up to one-year post-operation. It found that ASBQ scores increased beyond preoperative baseline after six months and one-year postoperatively. Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37 This suggests that the relevance of time since surgery might be more pronounced when considering the initial year following the procedure, whereas its influence on HRQOL may weaken beyond that point. This is supported by the aforementioned trends in studies looking at HRQOL after surgical resection.
Seven studies examined whether there was an association between previous surgical resection and HRQOL, Reference Keshwara, Gillespie and Mustafa18,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Jones, Iannone and Patel38,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40 though differences in the specific variables assessed were present. One study with potential bias issues found that patients with previous surgical resection receiving stereotactic radiotherapy (SRT) tended to have better MCS results as compared to patients receiving primary SRT, Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40 and the remaining found no association between the number of surgeries or previous resection and HRQOL. Reference Keshwara, Gillespie and Mustafa18,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Jones, Iannone and Patel38
Findings regarding the long-term impact of the extent of resection on HRQOL predominantly indicated no association, Reference Waagemans, van Nieuwenhuizen and Dijkstra21,Reference Jakola, Gulati, Gulati and Solheim31,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Jones, Iannone and Patel38 with only one study focused on sphenoid wing meningiomas finding that complete resection was associated with a decreased improvement in postoperative HRQOL via KPS. Reference Ouyang, Zhang, Wang, Li and Chen30
Three studies examined the impact of the surgical approach on HRQOL in meningioma patients, but they have limited comparability due to different scopes. Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39,Reference Torales, Di Somma and Alobid45 One study focused on sphenoid wing meningiomas and found no significant differences in KPS scores among three specific surgical approaches. Reference Ouyang, Zhang, Wang, Li and Chen30 Another study focusing on anterior skull-base meningiomas found no significant differences in scores for all SF-36 domains between endonasal and supraorbital approaches. Reference Torales, Di Somma and Alobid45 In contrast, other findings on skull-base meningioma patients showed improved EQ-5D-3L scores at the one-year follow-up for non-frontotemporal surgical approaches. Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39
Radiotherapy was evaluated by eight studies, Reference Benz, Wrensch and Schildkraut16,Reference Keshwara, Gillespie and Mustafa18,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Jones, Iannone and Patel38,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40,Reference Lisowski, Tromel and Lutyj43 of which five specified the type of radiotherapy administered (SRT, Reference Keshwara, Gillespie and Mustafa18,Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40,Reference Lisowski, Tromel and Lutyj43 fractionated radiotherapy, Reference Keshwara, Gillespie and Mustafa18,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27 intensity-modulated radiotherapy Reference Lisowski, Tromel and Lutyj43 or radiosurgery Reference Lisowski, Tromel and Lutyj43 ). Overall, several studies revealed a consistent association with reduced HRQOL, Reference Benz, Wrensch and Schildkraut16,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Jones, Iannone and Patel38,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40,Reference Lisowski, Tromel and Lutyj43 particularly in domains like vitality and physical role functioning as per SF-36 scores. Reference Benz, Wrensch and Schildkraut16,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40 However, only one study Reference Keshwara, Gillespie and Mustafa18 directly compared the different types of radiotherapy to discern their specific impacts on HRQOL. Notably, Fisher et al. found no significant differences observed between surgery-only and surgery plus adjuvant radiotherapy groups, Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23 though another study found that adjuvant radiotherapy was linked with worse ASBQ pain scores. Reference Jones, Iannone and Patel38 Contrarily, Zamanipoor Najafabadi et al. observed no significant impact of any radiotherapy on SF-36 scores. Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27 Both this study and Fisher et al. examined HRQOL at a median of nine years post-surgery but were not consistent in their evaluation of radiotherapy, which likely contributed to the observed discrepancies in the findings. Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27
Finally, the impact of discharge destination and active surveillance on HRQOL in meningioma patients was explored in only one study each. Reference Zamanipoor Najafabadi, van der Meer and Boele17,Reference Kofoed Lauridsen, Ciochon and Tolver24 Discharge home was associated with better long-term HRQOL on the general FACT and FACT-Br. Reference Kofoed Lauridsen, Ciochon and Tolver24 Patients under active MRI surveillance showed similar HRQOL scores compared to those receiving surgery or radiotherapy. Reference Zamanipoor Najafabadi, van der Meer and Boele17 Additional research is needed to establish substantive conclusions regarding the influence of these factors.
Three of the seven studies Reference Keshwara, Gillespie and Mustafa18,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Jakola, Gulati, Gulati and Solheim31,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 examining whether there was an association between the presence of surgical complications and HRQOL found a significant association. The presence of surgical complications was associated with lower HRQOL at one-year post-surgery in one study Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 and over five years post-surgery in another, Reference Keshwara, Gillespie and Mustafa18 and intra- and postoperative bleeding, cerebrospinal fluid disturbances and cranial nerve disturbances were associated with worsened postoperative KPS scores in the third. Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28
Antiepileptic drug (AED) use was associated with lower HRQOL scores in two of three studies, Reference Keshwara, Gillespie and Mustafa18,Reference Waagemans, van Nieuwenhuizen and Dijkstra21,Reference Tanti, Marson and Jenkinson29 particularly in FACT-Br summary scores, SF-36 MCS and SF-36 domains of role-physical, social functioning, mental health, vitality and general health. Reference Waagemans, van Nieuwenhuizen and Dijkstra21,Reference Tanti, Marson and Jenkinson29 However, when executive functioning was controlled for, a significant association was only found in one of the eight domains on SF-36. Reference Waagemans, van Nieuwenhuizen and Dijkstra21
HRQOL tools
A total of 11 unique tools were used to evaluate HRQOL in the included studies, with many studies using more than one (Table 5). The most common tools used were SF-36 Reference Ware and Sherbourne46,Reference McHorney, Ware and Raczek47 (N = 13), followed by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Brain Neoplasm 20 (EORTC QLQ-BN20) Reference Taphoorn, Claassens and Aaronson48 (N = 6), European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) Reference Aaronson, Ahmedzai and Bergman49 (N = 6), EQ-5D Reference Rabin and de Charro50 (N = 5), KPS (N = 5) and FACT-Br Reference Weitzner, Meyers, Gelke, Byrne, Levin and Cella51 (N = 3). One article used a modified version of FACT-Br Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25 . With the exception of KPS, which is a scale to measure functional status generally completed by the clinician, all tools are considered patient-reported outcome measures intended for completion by the patient themselves. Some studies have adopted KPS as a proxy of HRQOL, despite the fact that KPS may not encompass all aspects of HRQOL relevant to meningioma patients. The majority of these tools have undergone at least partial validation. However, only the FACT-Br tool has been validated in a diverse brain tumour population that includes meningioma patients. Reference Weitzner, Meyers, Gelke, Byrne, Levin and Cella51 Of the tools used, four measure generic HRQOL, while others are specific to certain conditions including brain neoplasms (N = 2), cancer (N = 2), sinonasal outcomes (N = 1) and anterior skull-base surgery (N = 1). Despite this variety, we emphasize that none of these tools were specifically designed and fully validated for exclusive use in meningioma patients.
Summary of quality of life (QOL) tools used in included articles (N = 31)
Notes: ASBQ-35 = Anterior Skull Base Questionnaire-35; EQ-5D = EuroQOL-5 Dimensions; EORTC QLQ-BN20 = European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Brain Neoplasm 20; EORTC QLQ-C30 = European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30; FACT-Br = Functional Assessment of Cancer Therapy-Brain; FACT-G = Functional Assessment of Cancer Therapy-General; KPS = Karnofsky performance scale; SF-36 = 36-item Short Form Survey; SNOT-22 = Sinonasal Outcome Test 22; VAS = Visual Analogue Scale.
* Many studies used more than one tool
** Questionnaire published in German only
*** Some included studies created a modified questionnaire based on existing tools, including FACT-Br (see Table 1)
Discussion
Summary of evidence
We found that HRQOL in meningioma patients is shaped by a complex array of treatment-related, clinical and sociodemographic variables (Figure 2 ). Our results, consistent with other reviews, Reference Corniola and Meling3,Reference Schiestel and Ryan4,Reference Zamanipoor Najafabadi, Peeters and Dirven6,Reference Haider, Taphoorn, Drummond and Walbert7 found that in general, meningioma patients appear to suffer from worse HRQOL outcomes compared to healthy controls. This is observed both before and after treatment, with the impact on HRQOL continuing for many years despite the overall beneficial effect of treatment. Nonetheless, it should be noted that significant heterogeneity was present in how studies measured HRQOL, and a standardized, validated tool for HRQOL evaluation in this specific population is not yet in use.
Health-related quality of life (HRQOL) factors explored by included studies (N = 31).
Patient-related factors
In terms of sociodemographic influences, age presents a multifaceted influence on HRQOL. The observation that younger patients endure reduced life satisfaction and protracted recovery phases in comparison to the older counterparts Reference Kalkanis, Quinones-Hinojosa, Buzney, Ribaudo and Black25,Reference Krupp, Klein, Koschny, Holland, Seifert and Meixensberger36,Reference Wirsching, Morel, Roth and Weller42 can be partly explained by the fact that younger individuals frequently have greater life expectations and responsibilities, such as supporting dependents and managing financial obligations like home ownership. These factors intensify the stress of illness and can exacerbate the effects on HRQOL. Older adults may not experience the same level of impact, having already navigated these life stages. Unemployment is invariably associated with inferior HRQOL outcomes, Reference Keshwara, Gillespie and Mustafa18,Reference Tanti, Marson and Jenkinson29,Reference Wirsching, Morel, Roth and Weller42 which could reflect both diminished functional status affecting employment and the potential financial strains impacting overall well-being, though the influence of income has not been well studied.
Our review highlights several other patient-related factors that have not been explored in detail by prior reviews. The effect of comorbidities on HRQOL Reference Keshwara, Gillespie and Mustafa18,Reference Timmer, Seibl-Leven and Wittenstein26–Reference Tanti, Marson and Jenkinson29 maybe due to the cumulative toll of managing both the tumour and the comorbidity. Furthermore, functional status and neurological function, both closely tied to the tumour’s impact and the interventions received, stand out as likely predictors of HRQOL. Reference Pintea, Kandenwein and Lorenzen15,Reference Keshwara, Gillespie and Mustafa18,Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20–Reference Pettersson-Segerlind, von Vogelsang and Fletcher-Sandersjoo22,Reference Timmer, Seibl-Leven and Wittenstein26,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Wagner, Shiban and Lange34 These factors involve aspects of daily living, cognitive abilities and motor functions, which may influence the patient’s perceived HRQOL. Disturbances in sleep patterns, whether due to the tumour’s presence itself or the psychological impact of having a serious diagnosis, may lead to a decline in HRQOL. Reference Nassiri, Price and Shehab19,Reference Lin, Chen, Wang, Lin, Lee and Chiu32,Reference Zhang, Wang and Gu33 This requires further exploration, however, as various sleep assessment methods were employed. Finally, psychological impairments, ranging from anxiety and depression to PTSS, may have profound effects, not only as consequences of the disease process but also as predictors of how a patient perceives their recovery and overall well-being. Reference Tanti, Marson and Jenkinson29,Reference Wagner, Shiban and Lange34,Reference Kangas, Williams and Smee35
Tumour-related factors
Previous literature suggests that patients with larger tumours or tumours situated in more critical or challenging brain regions may theoretically experience decreased HRQOL due to the complexities of surgical intervention, aggressive treatments and potential postoperative complications. Reference Miao, Lu, Qiu, Jiang and Lin52,Reference Liouta, Koutsarnakis, Liakos and Stranjalis53 The findings presented here showing the minimal influence of tumour size Reference Kofoed Lauridsen, Ciochon and Tolver24,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Jakola, Gulati, Gulati and Solheim31,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41,Reference Wirsching, Morel, Roth and Weller42 or location Reference Keshwara, Gillespie and Mustafa18,Reference Zamanipoor Najafabadi, van der Meer, Boele and etal27,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Ouyang, Zhang, Wang, Li and Chen30,Reference Wagner, Shiban and Lange34,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41–Reference Lisowski, Tromel and Lutyj43 on HRQOL and mixed histologic grade results Reference Ganefianty, Irawati, Dahlia, Kariasa and Sutiono20,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Wirsching, Morel, Roth and Weller42 seem to deviate most significantly from these earlier reviews.
This discrepancy might stem from our included studies generally comparing broader tumour locations rather than specific localizations within meningioma subtypes. Furthermore, while many studies report a negative association between tumour size and neurological function, current generic HRQOL instruments may not be sensitive enough to detect specific neurological deficits, possibly underrepresenting the true impact of tumour size on HRQOL. Patients with tumours exhibiting unfavourable characteristics may also have lower HRQOL at baseline due to neurological and functional effects of the tumour, which can lead to a “floor effect” where subsequent declines are less detectable. This could partly explain the differences in findings, though more uniform evidence and homogenous reporting would facilitate a better understanding of the impact of tumour characteristics on HRQOL. Thus, while our findings suggest minimal effects, they may not reflect the entirety of the situation.
There is a need for targeted research to differentiate the impacts of AED use from the effects of epilepsy itself on HRQOL. While we observed that AED use appears to be independently correlated with poorer HRQOL, some earlier reviews used AED use as a proxy for epilepsy Reference Tanti, Marson, Chavredakis and Jenkinson8 . This approach may not adequately distinguish between the unique consequences of epilepsy and the side effects of its treatment on HRQOL. Understanding these separate influences is vital for improving treatment approaches, as both epilepsy and its management through AEDs can significantly affect patient outcomes. Further investigation in this area is essential for more nuanced and effective care strategies for meningioma patients.
Treatment-related factors
In line with previous reviews, surgical resection is a key treatment-related determinant of HRQOL. Reference Schiestel and Ryan4,Reference Zamanipoor Najafabadi, Peeters and Dirven6,Reference Haider, Taphoorn, Drummond and Walbert7,Reference San, Rahman and Sanmugananthan9 As shown by many studies, the effects of surgery on HRQOL are particularly relevant immediately post-operation, but its effects lessen thereafter, with gradual improvement in domains such as headaches, seizures, and role limitations. Reference Jakola, Gulati, Gulati and Solheim31,Reference Wagner, Shiban and Lange34,Reference Castle-Kirszbaum, Kam, Dixon, Goldschlager, King and Wang37,Reference Zweckberger, Hallek, Vogt, Giese, Schick and Unterberg41,Reference Wirsching, Morel, Roth and Weller42
The additional observation that patients having better preoperative HRQOL scores can face a postoperative decline Reference San, Rahman and Sanmugananthan9,Reference Jakola, Gulati, Gulati and Solheim31 may be attributed to a “ceiling effect.” Specifically, patients have minimal room for improvement if they are already scoring near the top of a scale, and the immediate challenges and recovery associated with surgery can provide room for temporary declines. The literature, however, has yet to thoroughly examine how varying surgical approaches specifically impact HRQOL outcomes.
The negative effect of resection extent, observed in one study, may be due to certain locations presenting greater challenges for resection, leading to less favourable HRQOL outcomes when total resection is attempted. Reference Ouyang, Zhang, Wang, Li and Chen30 However, other factors, such as the absence of complications and preserved neurological function, may overshadow any negative effects of gross total resection on HRQOL. Ultimately, how the presence of the tumour or the side effects of its treatment impact neurological and functional status may be most significant for patients, as well as their ability to engage in everyday life. Future examinations of these possibilities are crucial to understand the holistic impact of meningioma treatment. This understanding can guide clinical decisions, ensuring that treatment strategies not only focus on maximizing tumour removal but also prioritize the overall HRQOL, functional independence and long-term well-being of patients.
Although it is suggested that surgical complications may have a negative impact on HRQOL, Reference Keshwara, Gillespie and Mustafa18,Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28,Reference Karsy, Jensen, Guan, Ravindra, Bisson and Couldwell39 inconsistencies in how these complications were defined across studies may have skewed the outcomes. Moreover, a comparative analysis of the impact of different complications on HRQOL is lacking. It is plausible that certain surgical complications might exert a more pronounced negative impact. Reference Meixensberger, Meister, Janka, Haubitz, Bushe and Roosen28 To gain a comprehensive understanding of these nuances, prospective research could aim to classify surgical complications by their degree of impact on HRQOL.
Radiotherapy serves multiple roles in the treatment of meningioma, often being the primary modality for patients with high surgical risks or tumours not amenable to resection. It is also frequently used adjunctively with surgery for residual or recurrent tumours. The context of its use is diverse, and each scenario presents different impacts on HRQOL, which have not been uniformly assessed. Further, most of the included studies did not evaluate the varied effects of different radiotherapy approaches. Patients receiving radiotherapy as initial treatment tended to experience reduced long-term HRQOL in specific domains Reference Benz, Wrensch and Schildkraut16,Reference Fisher, Zamanipoor Najafabadi, van der Meer and B.23,Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40,Reference Lisowski, Tromel and Lutyj43 supporting previous reviews. Reference Zamanipoor Najafabadi, Peeters and Dirven6,Reference Haider, Taphoorn, Drummond and Walbert7 Observed less frequently, our review also supports a previous observation Reference Tanti, Marson, Chavredakis and Jenkinson8 whereby HRQOL diminishes post-treatment but returns to baseline or improves over the long-term follow-up. Reference Henzel, Fokas, Sitter, Wittig and Engenhart-Cabillic40 Efforts should be made to examine whether this is an anomaly or if factors can be identified that contribute to this “bounce back” observation.
Our findings highlight that beyond the disease’s impact, the HRQOL of patients with these tumours is significantly influenced by the available treatments, namely, surgery and radiation. However, comparing outcomes between surgery and radiation may not be entirely useful, as patients undergoing radiotherapy often have pre-existing compromised prognostic factors that may confound the results. Reference Zamanipoor Najafabadi, Peeters and Dirven6
Overall, this review brings to light several factors that may influence HRQOL in meningioma patients, especially patient-related elements such as age, employment status, comorbidities and psychological health. Treatment modalities like surgery and radiotherapy have been shown to have both immediate and long-term impacts on HRQOL. This comprehensive examination of existing evidence highlights the multifaceted and complex nature of HRQOL factors in meningioma patients.
Limitations of review
We acknowledge several limitations of this review that may influence the interpretation and generalizability of our findings. The majority of studies included were cross-sectional or retrospective with a small sample size and utilized normal population data with no control group to draw comparisons on HRQOL. The heterogeneity across the included studies posed a significant challenge. Variability in study design, setting, population, HRQOL assessment tools and effect measures used can complicate the synthesis of findings, making it challenging to directly compare and combine results and precluding the possibility of meta-analysis. There was also a prevalence of predominantly female populations in the included studies. While this reflects the demographic reality of meningioma patient cohorts, it potentially impacts generalizability. Finally, a frequent limitation was the possibility of inclusion bias, mainly due to high non-response rates. The HRQOL of those who declined study involvement may be different than those participating, potentially skewing the results.
Within the critical appraisal process, a lack of specific decision-making guidance provided by the JBI critical appraisal tools Reference Barker, Stone and Sears11 for assessing the methodological quality is an important limitation. While these tools offer a structured approach to evaluating study quality, the reviewers were required to exercise judgement and adapt the tools to the specific research context, potentially introducing increased subjectivity into the quality assessment process.
However, to our knowledge, this is the first systematic review evaluating such a wide breadth of factors that may influence HRQOL in meningioma patients. The large number of studies meeting the eligibility criteria and their diversity, while making it difficult to synthesize quantitatively, ensures a broad representation of meningioma patients in areas of tumour location, histologic grade and phase of treatment, which in turn increases the generalizability of our findings. Further, our decision to conduct a narrative synthesis as opposed to alternative synthesis methods enabled a more nuanced understanding of the findings with consideration of patterns and relationships within the reviewed literature.
Gaps in literature and directions for future work
The current body of literature is predominantly composed of small-scale, single-centre studies, with a noticeable absence of prospective cohort studies and direct treatment comparisons. There is an emphasis on clinical outcomes such as tumour recurrence and survival, but HRQOL, an outcome of paramount importance to patients, remains underexplored. Adding to this deficit is the scarcity of research that encompasses caregivers’ perspectives on their loved ones’ HRQOL. Certain pivotal factors, like tumour location, histologic grade, epilepsy, surgical approach and social support, remain underrepresented. Current studies often aggregate tumour locations, diluting critical distinctions in how different locations may uniquely impact HRQOL. The lack of a standardized disease-specific HRQOL tool and reliance on generic HRQOL instruments may not sufficiently address the aspects of HRQOL important to meningioma patients, potentially limiting our understanding of the impact of a specific factor. Finally, the interplay between various factors influencing HRQOL in meningioma patients, including medical, psychological and sociodemographic variables, represents an inherent limitation in this field of study (Figure 3 ). This complexity introduces challenges in isolating the specific impact of individual factors.
Schematic representation of how health-related quality of life factors may interact in meningioma patients.
These gaps highlight the urgency for robust, consistent research in large multi-centre samples that control for a variety of confounders in order to gain a holistic understanding of HRQOL determinants in meningioma patients. Future research should incorporate prospective, longitudinal studies that capture the trajectory of HRQOL post-treatment. Granular, location-specific studies are critical to explore the nuances of tumour site, treatment choices and their consequent impacts on HRQOL, aiding the complex decision-making process for treatments. Moreover, investigating caregiver experiences and other overlooked factors is essential to enrich our comprehension of HRQOL influences.
Previous work reveals multiple challenges for meningioma patients Reference Baba, McCradden, Rabski and Cusimano54,Reference Zamanipoor Najafabadi, van de Mortel and Lobatto55 in obtaining reliable and accessible resources, such as informational guidance, financial support, psychosocial aid and postoperative support. There is an absence of interventions that directly address the myriad HRQOL issues these patients face. Building on these insights, we recommend routine use of patient-reported HRQOL assessments, utilizing brain tumour-specific metrics like FACT-Br or EORTC QLQ-BN20 until a meningioma-specific validated tool becomes available. Reference Zamanipoor Najafabadi, van de Mortel and Lobatto55,Reference Bampoe, Siomin and Bernstein56 Our research in this area aims to standardize such a measure for comparative future studies, improving our understanding of HRQOL in these patients. Reference Baba, Saha and McCradden57 The mixed impact of factors such as age and tumour size on HRQOL highlights the need for individualized treatment plans to address the varied HRQOL domains affected. Reference Zamanipoor Najafabadi, van de Mortel and Lobatto55 Given the significant heterogeneity and often limited subgroup representation in our review, we advocate for collaboration among specialized centres to consolidate HRQOL data. The generation of comprehensive datasets could inform the development of predictive algorithms for prognosticating outcomes and personalizing patient care, a practical and achievable goal within a healthcare system like Canada’s.
Conclusion
Our systematic review of 31 studies indicates that treatment, neurological and functional status, comorbidities, sleep quality, psychological state, age and employment are key factors affecting HRQOL in meningioma patients. Study heterogeneity and inconsistent HRQOL measurements challenge conclusive findings. There is a need for more uniform, large-scale and prospective research with validated meningioma-specific HRQOL tools. Advancing this field requires routine HRQOL assessments and discussions about treatment implications on HRQOL, alongside individualized, multidisciplinary care and strong patient and caregiver support systems.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/cjn.2024.273.
Acknowledgements
We would like to acknowledge Julia Martyniuk, an Academic Librarian at the University of Toronto, for her contribution to this review by providing guidance on the development of the search strategy.
Author contributions
KJ: Study conception and design, conduction of literature search, eligibility screening, data extraction, data analysis and interpretation, manuscript preparation and critical revision.
MF: Study conception and design, eligibility screening, manuscript preparation and critical revision, provision of guidance and expertise.
MA: Data extraction, data analysis and interpretation, manuscript preparation and critical revision.
MDC: Study conception and design, manuscript preparation and revision, provision of guidance and expertise.
Funding statement
The authors received no funding for the development of this review.
Competing interests
The authors have no conflicts of interest to disclose.
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