Related factors for depression among Chinese men who have sex with men
Bibliographic record
Abstract
BACKGROUND: Men who have sex with men (MSM) are the focus group of acquired immune deficiency syndrome intervention, because of the impact of social concepts, they suffer from a lot of social discrimination, and mental health problems are more prominent. Depression is prevalent in Chinese MSM. The aim of this systematic review is to systematically assess the current evidence on factors associated with depression among Chinese MSM. METHODS: This study will be conducted in strict accordance with the preferred reporting items for systematic reviews and meta-analysis protocols. China National Knowledge Infrastructure, VIP Database, Wanfang Database, Chinese Biomedical Literature Database, PubMed, Embase, Web of Science, and the Cochrane Library will be searched comprehensively to collect cross-sectional studies, case-control studies, Cohort studies for depression of the related factors among Chinese MSM. The retrieval time is limited from the establishment of the database to December 2020. Two researchers independently evaluate the study and extract the data according to the inclusion and exclusion criteria. Meanwhile, the Newcastle-Ottawa scale and the bias risk assessment criteria of the agency for healthcare research and quality will be used to evaluate the risk of bias in the included studies, and the meta-analysis will be carried out by using Stata 15.0. RESULTS: This study will systematically evaluate the related factors for depression among Chinese MSM based on published studies. The results will be presented here. CONCLUSION: The conclusion of the systematic review and meta-analysis will provide clinical evidence for the related factors and prevention and treatment measures of depression among Chinese MSM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".