We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focusing on disorder-specific characteristics to independently classify SCZ and MDD. This study aimed to classify MDD and SCZ using ML models that integrate components of hedonic processing.
Methods
We recruited 99 patients with MDD, 100 patients with SCZ, and 113 healthy controls (HC) from four sites. The patient groups were allocated to distinct training and testing datasets. All participants completed a modified Monetary Incentive Delay (MID) task, which yielded features categorized into five hedonic components, two reward consequences, and three reward magnitudes. We employed a stacking ensemble model with SHapley Additive exPlanations (SHAP) values to identify key features distinguishing MDD, SCZ, and HC across binary and multi-class classifications.
Results
The stacking model demonstrated high classification accuracy, with Area Under the Curve (AUC) values of 96.08% (MDD versus HC) and 91.77% (SCZ versus HC) in the main dataset. However, the MDD versus SCZ classification had an AUC of 57.75%. The motivation reward component, loss reward consequence, and high reward magnitude were the most influential features within respective categories for distinguishing both MDD and SCZ from HC (p < 0.001). A refined model using only the top eight features maintained robust performance, achieving AUCs of 96.06% (MDD versus HC) and 95.18% (SCZ versus HC).
Conclusion
The stacking model effectively classified SCZ and MDD from HC, contributing to understanding transdiagnostic mechanisms of anhedonia.
Chronic pain and depression are common in older people, and creative activities may lower the perceived impact and distress related to the symptoms.
Aims
This study describes the co-development of a creative arts and crafts protocol for older people with chronic pain and depressive symptoms, and investigates its feasibility and potential effects.
Method
This study had two phases. In phase 1, a multidisciplinary expert panel (n = 10), consisting of professionals, patients and researchers, underwent iterative rounds to co-develop the protocol. In phase 2, a pilot study was conducted among 12 older adults (mean age 71.4 years). Mixed methods were used, including questionnaires at baseline, post-intervention and 3-month follow-up, assessing pain intensity and interference, depressive symptoms and quality of life; observational notes and focus groups. Descriptive and Wilcoxon signed-rank tests were applied to analyse quantitative data, and thematic analysis was used for qualitative data.
Results
Qualitative findings supported the programme’s feasibility. Participants reflected that the process was engaging and empowering and brought them a sense of achievement and recognition. The quantitative findings evidenced the programme’s potential effects in reducing depressive symptoms (Z = −2.60, P < 0.01) and improving mental health-related quality of life (Z = −2.67, P < 0.01) at 3-month follow-up.
Conclusions
Our results support the feasibility of a creative arts and crafts programme and provide preliminary evidence of its impact on reducing depressive symptoms and improving mental health-related quality of life. Given the promising results, a definitive trial is needed to reveal the effectiveness of creative activities in pain management.
Recent studies have increasingly utilized gradient metrics to investigate the spatial transitions of brain organization, enabling the conversion of macroscale brain features into low-dimensional manifold representations. However, it remains unclear whether alterations exist in the cortical morphometric similarity (MS) network gradient in patients with schizophrenia (SCZ). This study aims to examine potential differences in the principal MS gradient between individuals with SCZ and healthy controls and to explore how these differences relate to transcriptional profiles and clinical phenomenology.
Methods
MS network was constructed in this study, and its gradient of the network was computed in 203 patients with SCZ and 201 healthy controls, who shared the same demographics in terms of age and gender. To examine irregularities in the MS network gradient, between-group comparisons were carried out, and partial least squares regression analysis was used to study the relationships between the MS network gradient-based variations in SCZ, and gene expression patterns and clinical phenotype.
Results
In contrast to healthy controls, the principal MS gradient of patients with SCZ was primarily significantly lower in sensorimotor areas, and higher in more areas. In addition, the aberrant gradient pattern was spatially linked with the genes enriched for neurobiologically significant pathways and preferential expression in various brain regions and cortical layers. Furthermore, there were strong positive connections between the principal MS gradient and the symptomatologic score in SCZ.
Conclusions
These findings showed changes in the principal MS network gradient in SCZ and offered potential molecular explanations for the structural changes underpinning SCZ.
The betatron radiation source features a micrometer-scale source size, a femtosecond-scale pulse duration, milliradian-level divergence angles and a broad spectrum exceeding tens of keV. It is conducive to the high-contrast imaging of minute structures and for investigating interdisciplinary ultrafast processes. In this study, we present a betatron X-ray source derived from a high-charge, high-energy electron beam through a laser wakefield accelerator driven by the 1 PW/0.1 Hz laser system at the Shanghai Superintense Ultrafast Laser Facility (SULF). The critical energy of the betatron X-ray source is 22 ± 5 keV. The maximum X-ray flux reaches up to 4 × 109 photons for each shot in the spectral range of 5–30 keV. Correspondingly, the experiment demonstrates a peak brightness of 1.0 × 1023 photons·s−1·mm−2·mrad−2·0.1%BW−1, comparable to those demonstrated by third-generation synchrotron light sources. In addition, the imaging capability of the betatron X-ray source is validated. This study lays the foundation for future imaging applications.
Suicidal ideation (SI) is very common in patients with major depressive disorder (MDD). However, its neural mechanisms remain unclear. The anterior cingulate cortex (ACC) region may be associated with SI in MDD patients. This study aimed to elucidate the neural mechanisms of SI in MDD patients by analyzing changes in gray matter volume (GMV) in brain structures in the ACC region, which has not been adequately studied to date.
Methods
According to the REST-meta-MDD project, this study subjects consisted of 235 healthy controls and 246 MDD patients, including 123 MDD patients with and 123 without SI, and their structural magnetic resonance imaging data were analyzed. The 17-item Hamilton Depression Rating Scale (HAMD) was used to assess depressive symptoms. Correlation analysis and logistic regression analysis were used to determine whether there was a correlation between GMV of ACC and SI in MDD patients.
Results
MDD patients with SI had higher HAMD scores and greater GMV in bilateral ACC compared to MDD patients without SI (all p < 0.001). GMV of bilateral ACC was positively correlated with SI in MDD patients and entered the regression equation in the subsequent logistic regression analysis.
Conclusions
Our findings suggest that GMV of ACC may be associated with SI in patients with MDD and is a sensitive biomarker of SI.
Ultrasonic scalpels are widely used in urological surgery. Although portable ultrasonic scalpels are convenient to use and install, the existing evidence on their safety and effectiveness is scarce. This study aimed to compare the safety and effectiveness of portable ultrasonic scalpels in urological surgery with traditional ultrasonic scalpels to aid clinical decision-making.
Methods
A multicenter, prospective, non-randomized controlled trial was conducted from February to August 2023 in three tertiary hospitals in China. The intervention group included 90 prospectively enrolled patients undergoing urological surgery during the same period of hospitalization: 45 with portable ultrasonic scalpels and 45 with traditional scalpels. Demographic and clinical data of patients in the study were collected. Data on quality of life were obtained using the EuroQol EQ-5D-5L scale preoperatively, at discharge, and one month and three months after surgery. Descriptive analysis and a generalized linear model were used in the data analysis.
Results
A total of 82 patients were included in the study: 39 in the intervention group and 43 in the control group. The average hospital stay and intraoperative and postoperative blood loss in the intervention group were lower than in the control group (p>0.05). From baseline to discharge, the decrease in quality-adjusted life-years (QALYs) in the intervention group was smaller (–0.134 versus –0.287; p<0.05) than in the control group. During the follow-up period, there were no significant differences in the changes in QALYs between the two groups. The decline in QALYs was significantly influenced by variables such as intraoperative blood loss and surgical site.
Conclusions
There were no significant differences in baseline characteristics or changes in QALYs between the intervention and control groups. Portable ultrasonic scalpels in urological surgery may be as equally effective as traditional scalpels with respect to clinical outcomes, with additional benefits in reducing QALY decline at discharge. Further research with large samples and long-term follow-up should be conducted.
The diverse implant landscape, the rising and disparate costs of implants in public healthcare institutions (PHIs), and the limited application of health technology assessment (HTA) impede fair and sustainable implant subsidies in Singapore. This study described the Agency for Care Effectiveness (ACE) Implant Subsidy List (ISL) methodology and the key enablers for supporting government subsidy of clinically effective and cost-effective implants in Singapore.
Methods
A multi-tiered implant grouping scheme on the ISL was established by adapting overseas implant classifications, consulting clinicians, and conducting HTA evaluations, with subsidy extensions at the product group tier. Implants within a product group share similar biomechanical actions and patient outcomes and are subject to the same clinical criteria and pricing requirement. Implants on the ISL must be approved by the regulatory authority. Patients who meet the clinical criteria for ISL implants are eligible for subsidy. ACE conducted value-based pricing (VBP) and partnered with the public healthcare supply chain agency to harmonize PHI implant prices. The ISL is updated three times per year.
Results
Implants listed on the ISL were deemed clinically and cost effective. Underpinned by HTA principles, the implant grouping scheme promoted parsimonious classification, while allowing the creation of new product groups for implants offering superior benefits for patients. Reasonable prices set for the product groups aided affordability and cost sustainability. The ISL clinical criteria and standardized implant identifiers encouraged the appropriate use of subsidized implants and facilitated implementation. By ISL implementation in December 2023, ACE assessed 42,165 implants and listed 22,689 ISL implants spanning 143 product groups. Industry can apply for ISL listing three times per year, which keeps the ISL updated and relevant.
Conclusions
The ISL adopts a fit-for-purpose methodology to standardize implant classifications, enable scalable application of HTA, drive appropriate use of subsidized implants, and bring cost sustainability to the government subsidy of implants in Singapore. A strategic partnership with the public healthcare supply chain agency to concurrently establish national procurement contracts reduced disparate implant prices in PHIs and provided greater leverage for better implant prices.
We developed a real-world evidence (RWE) based Markov model to project the 10-year cost of care for patients with depression from the public payer’s perspective to inform early policy and resource planning in Hong Kong.
Methods
The model considered treatment-resistant depression (TRD) and development of comorbidities along the disease course. The outcomes included costs for all-cause and psychiatric care. From our territory-wide electronic medical records, we identified 25,190 patients with newly diagnosed depression during the period from 2014 to 2016, with follow-up until December 2020 for real-world time-to-event patterns. Costs and time varying transition inputs were derived using negative binomial and parametric survival modeling. The model is available as a closed cohort, which studies a fixed cohort of incident patients, or an open cohort that introduces new patients every year. Utilities values and the number of incident cases per year were derived from published sources.
Results
There were 9,217 new patients with depression in 2023. Our closed cohort model projected that the cumulative cost of all-cause and psychiatric care for these patients would reach USD309 million and USD58 million by 2032, respectively. In our open cohort model, 55,849 to 57,896 active prevalent cases would cost more than USD322 million and USD61 million annually in all-cause and psychiatric care, respectively. Although less than 20 percent of patients would develop TRD or its associated comorbidities, they contribute 31 to 54 percent of the costs. The key cost drivers were the number of annual incident cases and the probability of developing TRD and associated comorbidities and of becoming a low-intensity service user. These factors are relevant to early disease stages.
Conclusions
A small proportion of patients with depression develop TRD, but they contribute to a high proportion of the care costs. Our projection also demonstrates the application of RWE to model the long-term costs of care, which can aid policymakers in anticipating foreseeable burden and undertaking budget planning to prepare for future care needs.
Congenital heart disease (CHD), the most common congenital malformation affecting fetuses and infants, poses a significant and rapidly emerging global challenge in children’s health. Prenatal and newborn screening are very important for preventing CHD. Therefore, this study aimed to analyze the status and corresponding foci of articles on CHD screening in the Chinese or English language using bibliometric methods.
Methods
Publications on prenatal or newborn screening for CHD were included. The Web of Science Core Collection (WoS) and China National Knowledge Infrastructure (CNKI) databases were searched to identify literature published from inception to 31 March 2023. CiteSpace was used to perform bibliometric analysis on the number of publications, institutions, authors, and keywords to generate corresponding knowledge maps.
Results
A total of 582 publications were retrieved from the WoS and 233 from the CNKI databases. There was an increasing trend in the number of English and Chinese articles published, with the trend beginning in 2010 for Chinese language articles and in 2007 for English language articles. In English language publications, GR Martin was the most influential author, and the top five institutions were from high-income countries. Among the Chinese language publications, Wenhong Ding was the most influential author and the Hunan Province Maternal and Child Health Care Hospital was the most commonly reported institution. Keyword analysis revealed that the most frequently occurring terms in both language publications were as follows: antenatal diagnosis, cardiac auscultation, and fetal echocardiography in English language articles and screening, prenatal screening, and fetal in Chinese language publications.
Conclusions
Increasingly, articles on CHD screening have been listed in the WoS and CNKI databases. This bibliometric study provides the status and trends in the research on screening for CHD and may help researchers identify hot topics and explore new research directions in this field.
The focus of cognitive diagnosis (CD) is on evaluating an examinee’s strengths and weaknesses in terms of cognitive skills learned and skills that need study. Current methods for fitting CD models (CDMs) work well for large-scale assessments, where the data of hundreds or thousands of examinees are available. However, the development of CD-based assessment tools that can be used in small-scale test settings, say, for monitoring the instruction and learning process at the classroom level has not kept up with the rapid pace at which research and development proceeded for large-scale assessments. The main reason is that the sample sizes of the small-scale test settings are simply too small to guarantee the reliable estimation of item parameters and examinees’ proficiency class membership. In this article, a general nonparametric classification (GNPC) method that allows for assigning examinees to the correct proficiency classes with a high rate when sample sizes are at the classroom level is proposed as an extension of the nonparametric classification (NPC) method (Chiu and Douglas in J Classif 30:225–250, 2013). The proposed method remedies the shortcomings of the NPC method and can accommodate any CDM. The theoretical justification and the empirical studies are presented based on the saturated general CDMs, supporting the legitimacy of using the GNPC method with any CDM. The results from the simulation studies and real data analysis show that the GNPC method outperforms the general CDMs when samples are small.
Timing of food intake is an emerging aspect of nutrition; however, there is a lack of research accurately assessing food timing in the context of the circadian system. The study aimed to investigate the relation between food timing relative to clock time and endogenous circadian timing with adiposity and further explore sex differences in these associations among 151 young adults aged 18–25 years. Participants wore wrist actigraphy and documented sleep and food schedules in real time for 7 consecutive days. Circadian timing was determined by dim-light melatonin onset (DLMO). The duration between last eating occasion and DLMO (last EO-DLMO) was used to calculate the circadian timing of food intake. Adiposity was assessed using bioelectrical impedance analysis. Of the 151 participants, 133 were included in the statistical analysis finally. The results demonstrated that associations of adiposity with food timing relative to circadian timing rather than clock time among young adults living in real-world settings. Sex-stratified analyses revealed that associations between last EO-DLMO and adiposity were significant in females but not males. For females, each hour increase in last EO-DLMO was associated with higher BMI by 0·51 kg/m2 (P = 0·01), higher percent body fat by 1·05 % (P = 0·007), higher fat mass by 0·99 kg (P = 0·01) and higher visceral fat area by 4·75 cm2 (P = 0·02), whereas non-significant associations were present among males. The findings highlight the importance of considering the timing of food intake relative to endogenous circadian timing instead of only as clock time.
This study aimed to investigate the effects of esketamine (Esk) combined with dexmedetomidine (Dex) on postoperative delirium (POD) and quality of recovery (QoR) in elderly patients undergoing thoracoscopic radical lung cancer surgery.
Methods
In this prospective, randomized, and controlled study, 172 elderly patients undergoing thoracoscopic radical lung cancer surgery were divided into two groups: the Esk + Dex group (n = 86) and the Dex group a (n = 86). The primary outcome was the incidence of POD within 7 days after surgery and the overall Quality of Recovery−15 (QoR − 15) scores within 3 days after surgery. Secondary outcomes included postoperative adverse reactions, extubation time, PACU stay, and hospitalization time. Serum levels of IL-6, IL-10, S100β protein, NSE, CD3+, CD4+, and CD8+ were detected from T0 to T5.
Results
Compared with the Dex group, the incidence of POD in the Esk + Dex group was significantly lower at 7 days after surgery (14.6% vs 30.9%; P = 0.013). The QoR − 15 score was significantly increased 3 days after surgery (P < 0.01). Levels of IL-6 and CD8+ were significantly decreased, and IL − 10 levels were significantly increased at T1-T2 (P < 0.05). At T1-T4, NSE levels were significantly decreased, while CD3+ and CD4+/CD8+ values were significantly increased (P < 0.01). At T1-T5, serum S100β protein concentration decreased significantly, and CD4+ value increased significantly (P < 0.01). The incidence of nausea/vomiting and hyperalgesia decreased significantly 48 hours after surgery (P < 0.01). The duration of extubation, PACU stay, and postoperative hospitalization were significantly shortened.
Conclusions
Esketamine combined with dexmedetomidine can significantly reduce the POD incidence and improve the QoR in patients undergoing thoracoscopic radical lung cancer surgery, which may be related to the improvement of cellular immune function.
Recent studies of viscous dissipation mechanisms in impacting droplets have revealed distinct behaviours between the macroscale and nanoscale. However, the transition of these mechanisms from the macroscale to the nanoscale remains unexplored due to limited research at the microscale. This work addresses the gap using the many-body dissipative particle dynamics (MDPD) method. While the MDPD method omits specific atomic details, it retains crucial mesoscopic effects, making it suitable for investigating the impact dynamics at the microscale. Through the analysis of velocity contours within impacting droplets, the research identifies three primary contributors to viscous dissipation during spreading: boundary-layer viscous dissipation from shear flow; rim geometric head loss; and bulk viscous dissipation caused by droplet deformation. This prompts a re-evaluation of viscous dissipation mechanisms at both the macroscale and nanoscale. It reveals that the same three kinds of dissipation are present across all scales, differing only in their relative intensities at each scale. A model of the maximum spreading factor (βmax) incorporating all forms of viscous dissipation without adjustable parameters is developed to substantiate this insight. This model is validated against three distinct datasets representing the macroscale, microscale and nanoscale, encompassing a broad spectrum of Weber numbers, Ohnesorge numbers and contact angles. The satisfactory agreement between the model predictions and the data signifies a breakthrough in establishing a universal βmax model applicable across all scales. This model demonstrates the consistent nature of viscous dissipation mechanisms across different scales and underscores the importance of integrating microscale behaviours to understand macroscale and nanoscale phenomena.
Hydrogen sulfide (H2S) has been shown to play a significant role in oxidative stress across various tissues and cells; however, its role in sperm function remains poorly understood. This study aimed to investigate the protective effect of GYY4137, a slow-releasing H2S compound, on sperm damage induced by H2O2. We assessed the effects of GYY4137 on motility, viability, lipid peroxidation and caspase-3 activity in human spermatozoa in vitro following oxidative damage mediated by H2O2. Spermatozoa from 25 healthy men were selected using a density gradient centrifugation method and cultured in the presence or absence of 10 μM H2O2, followed by incubation with varying concentrations of GYY4137 (0.625–2.5 μM). After 24 h of incubation, sperm motility, viability, lipid peroxidation, and caspase-3 activity were evaluated. The results indicated that H2O2 adversely affected sperm parameters, reducing motility and viability, while increasing oxidative stress, as evidenced by elevated lipid peroxidation and caspase-3 activity. GYY4137 provided dose-dependent protection against H2O2-induced oxidative stress (OS). We concluded that supplementation with GYY4137 may offer antioxidant protection during in vitro sperm preparation for assisted reproductive technology.
COVID-19 was a collective traumatic event; however, different individuals may have perceived it differently.
Aims
This study investigated what older people in a collective culture perceived as stressful during COVID-19 and examined how different stressors related to COVID-19 infection and mental health risks.
Method
Thirty-six participants from diverse backgrounds engaged in a three-round Delphi study to generate items for a COVID-19-related stress scale for older adults (CSS-OA). Subsequently, 4674 people (aged ≥60 years) participated in a cross-sectional telephone survey; interviewers collected their responses to CSS-OA and information about COVID-19 infection, depressive symptoms, anxiety, loneliness and demographics. Exploratory factor analysis and confirmatory factor analysis were conducted on CSS-OA. A multiple indicator multiple cause (MIMIC) model was used to examine associations between CSS-OA and other measures.
Results
The Delphi process generated eight items, all secondary or tertiary stressors related to infection. Exploratory factor analysis revealed a three-factor model, and confirmatory factor analysis confirmed an excellent fit (comparative fit index = 0.99, root mean square error of approximation = 0.06). Pre-existing mental health conditions, having family members/friends infected with COVID-19, loneliness, anxiety and depressive symptoms were associated with higher stress. Conversely, self-infection with COVID-19, older age, being female and living alone were negatively associated with some domains of CSS-OA (all P < 0.05).
Conclusions
The Delphi process enhanced our understanding of what older people perceived as stressful, much of which resulted from certain healthcare strategies and reflected cultural influences. These and the MIMIC results highlight the need to balance public health policies with respect to infectious diseases and older people's mental health and quality of life.
Major depressive disorder (MDD) is one of the most prevalent and disabling illnesses worldwide. Treatment of MDD typically relies on trial-and-error to find an effective approach. Identifying early response-related biomarkers that predict response to antidepressants would help clinicians to decide, as early as possible, whether a particular treatment might be suitable for a given patient.
Methods
Data were from the two-stage Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) trial. A whole-brain, voxel-wise, mixed-effects model was applied to identify early-treatment cerebral blood flow (CBF) changes as biomarkers of treatment response. We examined changes in CBF measured with arterial spin labeling 1-week after initiating double-masked sertraline/placebo. We tested whether these early 1-week scans could be used to predict response observed after 8-weeks of treatment.
Results
Response to 8-week placebo treatment was associated with increased cerebral perfusion in temporal cortex and reduced cerebral perfusion in postcentral region captured at 1-week of treatment. Additionally, CBF response in these brain regions was significantly correlated with improvement in Hamilton Depression Rating Scale score in the placebo group. No significant associations were found for selective serotonin reuptake inhibitor treatment.
Conclusions
We conclude that early CBF responses to placebo administration in multiple brain regions represent candidate neural biomarkers of longer-term antidepressant effects.
Binary nanodroplet collisions have received increasing attention, whilst the identification of collision outcomes and the viscous dissipation mechanism have remained poorly understood. Using molecular dynamics simulations, this study investigates binary nanodroplet collisions over wide ranges of Weber number (We), Ohnesorge number (Oh) and off-centre distances. Coalescence, stretching separation and shattering are identified; however, bouncing, reflexive separation and rotational separation reported for millimetre-sized collisions are not observed, which is attributed to the enhanced viscous effect caused by the ‘natural’ high-viscosity characteristics of nanodroplets. Intriguingly, as an intermediate outcome, holes form in retracting films at relatively high We, arising from the vibration and thermal fluctuation of the films. Due to the combined effects of inertial, capillary and viscous forces, binary nanodroplet collisions fall into the cross-over regime, so estimating viscous dissipation becomes extremely important for distinguishing outcome boundaries. Based on the criterion that stretching separation is triggered only when the residual off-centre kinetic energy exceeds the surface energy required for separation, the boundary equation between coalescence and stretching separation is established. Here, viscous dissipation is calculated by the extracted flow feature from simulations, showing that the ratio of viscous dissipation to the initial kinetic energy depends only on Oh, not on We. Because of complex viscous dissipation mechanisms, the same boundary equation in the cross-over regime has also not been satisfactorily revealed for macroscale collisions. Therefore, the proposed equation is tested for wide data sources from both macroscale and nanoscale collisions, and satisfying agreement is achieved, demonstrating the universality of the equation.
This study aimed to compare changes in the level of health technology assessment (HTA) development from 2016 to 2021, and to inform policies and decisions to promote further development of HTA in China.
Methods
We conducted a cross-sectional and anonymous web-based survey to relevant stakeholders in China in 2016 and 2021 respectively. The mapping of the HTA instrument was used to reflect the HTA development from eight domains. To reduce the influence of confounders and to compare the mapping outcomes between 2016 and 2021 groups, we performed 1:1 propensity score matching methodology in this study. Univariate analysis was performed to compare the differences in these two groups. We also compared the overall results with that of a mapping study that included ten countries.
Results
A total of 212 and 255 respondents completed the survey in 2016 and 2021 respectively. After propensity score matching methodology, 183 cases from the 2016 group and 2021 group were matched. Overall, the mean score of 2021 in most of the domains was higher than in 2016 in China (p < 0.05), matching the level of HTA institutionalization and dissemination strategy, except for the assessment domain. Although China scored significantly lower among the three developed countries, the overall HTA development score for China was comparable among the ten countries.
Conclusions
Our study suggested the level of HTA development in China has made great progress from 2016 to 2021. Prior to HTA activities, the researcher or policy makers should first formulate an explicit assessment goal and scope, and during the assessment process, more attention should be paid to the clinical effectiveness and cost-effectiveness indicator to ensure a higher quality of HTA evidence.
With the rapid development of innovative health technologies, evidence increasingly shows that overdiagnosis is harmful to a person’s health and that it is a global public health issue. This study aimed to analyze the current research status and corresponding foci in the field of overdiagnosis in Chinese and English databases using bibliometric methods.
Methods
A search was conducted in the English Web of Science Core Collection database and the Chinese China National Knowledge Infrastructure database for literature published from inception to 31 December 2021. CiteSpace (version 5.8 R1) software was used to perform bibliometric analysis on the countries, institutions, and keyword clusters of the included literature on overdiagnosis and to draw a corresponding visual knowledge map.
Results
A total of 2,841 English and 43 Chinese publications were included. There was an increasing trend in the annual publication volume of both Chinese and English literature, with the publication volume of English research increasing significantly since 2010. In terms of countries and institutions, the top ten in English research on overdiagnosis were all from high income countries. The cooperation among these countries and institutions was close, unlike in China where the cooperation was relatively limited. Analysis of keyword clustering showed that the potential research foci for English literature on overdiagnosis included breast cancer, thyroid cancer, prostate cancer, lung cancer, and other tumor types, whereas the clustering in Chinese records was relatively scattered and mainly focused on overdiagnosis of thyroid cancer.
Conclusions
The research topics in the Chinese literature on overdiagnosis lag significantly behind English research. It is suggested that more research on overdiagnosis and related fields should be actively promoted and conducted in China in the future.