The emotion regulation network (ERN) in the brain provides a framework for understanding the neuropathology of affective disorders. Although previous neuroimaging studies have investigated the neurobiological correlates of the ERN in major depressive disorder (MDD), whether patients with MDD exhibit abnormal functional connectivity (FC) patterns in the ERN and whether the abnormal FC in the ERN can serve as a therapeutic response signature remain unclear.

A large functional magnetic resonance imaging dataset comprising 709 patients with MDD and 725 healthy controls (HCs) recruited across five sites was analyzed. Using a seed-based FC approach, we first investigated the group differences in whole-brain resting-state FC of the 14 ERN seeds between participants with and without MDD. Furthermore, an independent sample (45 MDD patients) was used to evaluate the relationship between the aforementioned abnormal FC in the ERN and symptom improvement after 8 weeks of antidepressant monotherapy.

Compared to the HCs, patients with MDD exhibited aberrant FC between 7 ERN seeds and several cortical and subcortical areas, including the bilateral middle temporal gyrus, bilateral occipital gyrus, right thalamus, calcarine cortex, middle frontal gyrus, and the bilateral superior temporal gyrus. In an independent sample, these aberrant FCs in the ERN were negatively correlated with the reduction rate of the HAMD17 score among MDD patients.

These results might extend our understanding of the neurobiological underpinnings underlying unadaptable or inflexible emotional processing in MDD patients and help to elucidate the mechanisms of therapeutic response.

The school–vacation cycle may have impacts on the psychological states of adolescents. However, little evidence illustrates how transition from school to vacation impacts students’ psychological states (e.g. depression and anxiety).

To explore the changing patterns of depression and anxiety symptoms among adolescent students within a school–vacation transition and to provide insights for prevention or intervention targets.

Social demographic data and depression and anxiety symptoms were measured from 1380 adolescent students during the school year (age: 13.8 ± 0.88) and 1100 students during the summer vacation (age: 14.2 ± 0.93) in China. Multilevel mixed-effect models were used to examine the changes in depression and anxiety levels and the associated influencing factors. Network analysis was used to explore the symptom network structures of depression and anxiety during school and vacation.

Depression and anxiety symptoms significantly decreased during the vacation compared to the school period. Being female, higher age and with lower mother's educational level were identified as longitudinal risk factors. Interaction effects were found between group (school versus vacation) and the father's educational level as well as grade. Network analyses demonstrated that the anxiety symptoms, including ‘Nervous’, ‘Control worry’ and ‘Relax’ were the most central symptoms at both times. Psychomotor disturbance, including ‘Restless’, ‘Nervous’ and ‘Motor’, bridged depression and anxiety symptoms. The central and bridge symptoms showed variation across the school vacation.

The school–vacation transition had an impact on students’ depression and anxiety symptoms. Prevention and intervention strategies for adolescents’ depression and anxiety during school and vacation periods should be differentially developed.

Non-small cell lung cancer (NSCLC) is the most prevalent malignant tumor in China. This study aimed to compare the cost effectiveness of combined nivolumab and ipilimumab with chemotherapy as a first-line treatment for advanced NSCLC. The findings will contribute to the economic evidence for making clinical and health policy decisions.

Taking a healthcare system perspective, this study used a partitioned survival analysis model to simulate the disease trajectory of advanced NSCLC during first-line treatment over a model cycle of three weeks. The simulation extended over a span of 12 years. A five percent discount was incorporated for both costs and health outcomes. Published clinical efficacy and cost data were extracted from the CheckMate 9LA study (NCT03215706) and drug pricing information was gathered from the YaoZhi website. Utility values were derived from 13 tertiary hospitals in five provinces of China. Base case and sensitivity analyses were also conducted.

The combination of nivolumab and ipilimumab resulted in a lifetime cost of CNY850,068 (USD119,127) and 1.796 quality-adjusted life-years (QALYs), whereas chemotherapy incurred a lifetime cost of CNY276,313 (USD38,722) and a gain of 1.206 QALYs. The incremental cost-effectiveness ratio (ICER) for combination therapy was CNY971,955 (USD136,208) per QALY gained, which was more than three times the average gross domestic product per capita in China (CNY85,698 [USD12,010] in 2022) and indicated that the therapy was not cost effective. Probabilistic sensitivity analysis indicated that the likelihood of nivolumab plus ipilimumab being cost effective, compared with chemotherapy, was 0.02.

Nivolumab plus ipilimumab demonstrated enhanced health outcomes for patients with advanced NSCLC, compared with standard chemotherapy, but the ICER exceeded the acceptable threshold, suggesting that the treatment is not cost effective.

The Chinese government lifted most COVID-19 pandemic restrictions in December 2022, triggering a spike in confirmed cases and higher demand for medications. Consequently, a significant number of residents resorted to social media to seek assistance. This study aimed to evaluate community resilience by leveraging Weibo user datasets, coupled with interpretable machine learning (ML)-based techniques, to identify important resilience characteristics.

Datasets geotagged from the Sina Weibo social media platform between 8 December 2022 and 7 January 2023 were crawled using search terms of “help-seeking” and the keywords of conventional drugs. This study utilized natural language processing (NLP) to label COVID-19-related posts to identify the type of posts, stakeholders’ behaviors, and other information. We built a comprehensive evaluation model, and five ML-based algorithms were compared for analyzing community resilience. Local interpretable model-agnostic explanations (LIME) was employed to verify five models and the XGBoost algorithm showed optimal effects. Shapley Additive Explanations (SHAP) elucidated the best model’s outputs and estimated contributions for key resilience characteristics.

For this study, 199,709 posts were collected. Out of these, 48,425 posts were identified as help-seeking posts, with more than two-thirds receiving responses from community level. The area under curve (AUC) of the XGBoost model was 0.82 (95% confidence interval [CI]: 0.82, 0.83), and the values of accuracy and F1 score were 0.72 and 0.80, respectively. This result demonstrated that the model can successfully evaluate community resilience and subsequently identify the features driving this outcome. Collective efficacy in providing aid, support from official rescue guidelines, and residents’ rapid response to rescue information were identified as the most important characteristics for evaluating community resilience.

This study is the first to harness social media data to quantify community resilience in China based on a framework we developed. Five updated ML-based algorithms were developed to evaluate community resilience, and XGBoost showed optimal effects. Three characteristics of community resilience were found as potential predictors that can enhance decision-making support to reshape health emergency rescue activities.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

While early intervention in psychosis (EIP) programs have been increasingly implemented across the globe, many initiatives from Africa, Asia and Latin America are not widely known. The aims of the current review are (a) to describe population-based and small-scale, single-site EIP programs in Africa, Asia and Latin America, (b) to examine the variability between programs located in low-and-middle income (LMIC) and high-income countries in similar regions and (c) to outline some of the challenges and provide recommendations to overcome existing obstacles.

EIP programs in Africa, Asia and Latin America were identified through experts from the different target regions. We performed a systematic search in Medline, Embase, APA PsycInfo, Web of Science and Scopus up to February 6, 2024.

Most EIP programs in these continents are small-scale, single-site programs that serve a limited section of the population. Population-based programs with widespread coverage and programs integrated into primary health care are rare. In Africa, EIP programs are virtually absent. Mainland China is one of the only LMICs that has begun to take steps toward developing a population-based EIP program. High-income Asian countries (e.g. Hong Kong and Singapore) have well-developed, comprehensive programs for individuals with early psychosis, while others with similar economies (e.g. South Korea and Japan) do not. In Latin America, Chile is the only country in the process of providing population-based EIP care.

Financial resources and integration in mental health care, as well as the availability of epidemiological data on psychosis, impact the implementation of EIP programs. Given the major treatment gap of early psychosis in Africa, Latin America and large parts of Asia, publicly funded, locally-led and accessible community-based EIP care provision is urgently needed.