Neonatal Outcomes in Women With Untreated Antenatal Depression Compared With Women Without Depression
Bibliographic record
Abstract
IMPORTANCE: Despite the prevalence of antenatal depression and the fact that only one-third of pregnant women with depression consider it acceptable to take antidepressants, the effect of untreated depression on neonatal outcomes remains to be addressed thoroughly. OBJECTIVE: To undertake a systematic review and meta-analysis to understand the effect of untreated depression on neonatal outcomes. DATA SOURCES: We executed our search strategy, with emphasis on its exhaustiveness, in MEDLINE, EMBASE, PsycINFO, Cumulative Index to Nursing and Allied Health, Cochrane Central Register of Controlled Trials, and Web of Science. The search was conducted in July, 2015. STUDY SELECTION: We included randomized and nonrandomized studies that examined neonatal outcomes in women with depression receiving neither pharmacological nor nonpharmacological treatment compared with women without depression. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently screened titles and abstracts, assessed full-text articles, extracted data, and assessed their quality using a modified version of the Newcastle-Ottawa Scale. We pooled data using random-effects meta-analyses, quantified heterogeneity using the I2 statistic, and explored it with subgroup analyses by type of assessment of depression, severity, reported conflicts of interest, and study quality. MAIN OUTCOMES AND MEASURES: Primary outcomes were preterm birth before 37 weeks and before 32 weeks, small and large for gestational age, low birth weight, and neonatal intensive care unit admission. RESULTS: Of the 6646 titles initially identified, 23 studies met inclusion criteria, all observational, with a total of 25 663 women. Untreated depression was associated with significantly increased risks of preterm birth (odds ratio [OR], 1.56; 95% CI, 1.25-1.94; 14 studies; I2, 39%) and low birth weight (OR, 1.96; 95% CI, 1.24-3.10; 8 studies; I2, 48%), with a trend toward higher risks for exposure to more severe depression. While the odds of preterm birth more than doubled in studies reporting conflicts of interest (OR, 2.50; 95% CI, 1.70-3.67; 5 studies; I2, 0%), studies not reporting such conflicts showed more moderate results (OR, 1.34; 95% CI, 1.08-1.66; 9 studies; I2, 30%). CONCLUSIONS AND RELEVANCE: Our results contrast with what is, to our knowledge, the only previous systematic review that examined the question of untreated depression because we found significant risks of 2 key perinatal outcomes, preterm birth and low birth weight. These are important results for pregnant women and clinicians to take into account in the decision-making process around depression treatment.
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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 | 0.022 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.014 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".