Depression outcome in women with recurrent spontaneous abortion: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: It is widely recognized that depression is highly prevalent among women experiencing recurrent spontaneous abortion (RSA), exerting detrimental effects on both the individual and the family. OBJECTIVE: To assess the depression risk and associated factors among women with RSA. DATA SOURCES: Our search strategy encompassed PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, Chinese National Knowledge Infrastructure (CNKI), and WANFANG. The research was conducted in May 2022. We included both randomized and nonrandomized studies that reported the prevalence of depression among women with RSA. DATA EXTRACTION AND SYNTHESIS: Two independent evaluators reviewed the titles and abstracts, assessed the full-text papers, extracted data from the included studies, and evaluated their quality using the Newcastle-Ottawa Scale (NOS). We performed random-effects meta-analyses to pool the data. Odds ratios (ORs) and standardized mean differences (SMDs) were combined based on effect sizes for binary and continuous outcomes. MAIN OUTCOMES: To conduct a meta-analysis to understand the risk of depression in women with RSA who were not treated with psychiatric medications, as well as an analysis of potential factors for depressive symptoms. RESULTS: Out of the initially identified 527 papers, a total of 20 studies (N = 13087) that fulfilled the inclusion criteria were selected. Compared to healthy controls, patients with RSA had a significantly higher risk of depression (OR: 4.26, 95 % confidence interval [CI]: 2.44-7.41; SMD: 0.89, 95 % CI: 0.51-1.26). The occurrence of depression among RSA patients was found to be significantly associated with several factors including the severity of depressive symptoms (OR: 3.82, 95 % CI: 2.22-6.59), number of spontaneous miscarriages (SMD: 0.59, 95 % CI: 0.01-1.18), history of therapeutic termination of pregnancy (SMD: 0.20, 95 % CI: 0.09-0.32), history of live birth (SMD: -0.32, 95 % CI: -0.49--0.15), and duration of marriage (SMD: 0.15, 95 % CI: 0.02-0.27). CONCLUSIONS: In clinical practice, it is crucial to provide appropriate psychological interventions for women undergoing RSA. These individuals face a significantly heightened risk of depression, which exhibits strong correlations with various demographic factors such as the severity of depressive symptoms, history of both spontaneous miscarriages and therapeutic termination of pregnancy, number of live births, and duration of marriage. Consequently, women who are suffering RSA deserves more assistance and emotional support.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".