The risk of postpartum haemorrhage (PPH) with selective serotonin reuptake inhibitors (SSRIs) and other antidepressants
Bibliographic record
Abstract
Objective. To determine if PPH was associated with third trimester antidepressant exposure, particularly SSRIs. Methods. This population-based nested case-control study of Ontario women with government-funded prescription coverage identified case patients who experienced PPH and randomly selected matched controls (1:10) from the same cohort. Hospitalisation records and prescription claims data were linked to ascertain outcomes and exposures for the study period (January 1999-March 2005). Results. There were 2.460 cases of PPH and 23.943 matched controls. Adjusted odds ratios for the association between PPH and exposure to SSRIs and non-SSRIs within 90 days prior to index were 1.30 (95% confidence interval 0.98-1.72) and 1.12 (95% confidence interval 0.62-2.01), respectively. Conclusions. Results were not consistent with a significantly increased risk of PPH in association with antidepressant exposure. Findings are applicable in risk-benefit assessments and are of public health importance given the prevalence of antenatal depression and the need to consider appropriate treatment strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".