Review: antiplatelet drugs reduce pre-eclampsia, preterm birth, and stillbirth or neonatal death
Bibliographic record
Abstract
(2001) BMJ 322, 329. Duley L, Henderson-Smart D, Knight M, et al. . Antiplatelet drugs for prevention of pre-eclampsia and its consequences: systematic review. . Feb 10; . : . –33. . [OpenUrl][1][Abstract/FREE Full Text][2] QUESTION: In pregnant women at risk for pre-eclampsia, how effective are antiplatelet drugs in preventing pre-eclampsia and its complications? Studies were identified by searching the Cochrane Pregnancy and Childbirth Group register of trials, the Cochrane Controlled Trials Register, and EMBASE/Excerpta Medica (1994–9) and by handsearching conference abstracts. Studies were selected if they were randomised controlled trials comparing antiplatelet drugs with placebo or no antiplatelet drug in women at risk for developing pre-eclampsia. Exclusion criteria were having no clinical data available, inadequate randomisation, <80% follow up of patients, or having participants at very low risk for pre-eclampsia. Data were extracted on study validity (allocation concealment), patient risk for developing pre-eclampsia (high or moderate), length of gestation (< or ≥20 wks), dose of aspirin (≤75 mg or >75 … [1]: {openurl}?query=rft.jtitle%253DBMJ%26rft.stitle%253DBMJ%26rft.issn%253D0007-1447%26rft.aulast%253DDuley%26rft.auinit1%253DL.%26rft.volume%253D322%26rft.issue%253D7282%26rft.spage%253D329%26rft.epage%253D333%26rft.atitle%253DAntiplatelet%2Bdrugs%2Bfor%2Bprevention%2Bof%2Bpre-eclampsia%2Band%2Bits%2Bconsequences%253A%2Bsystematic%2Breview%26rft_id%253Dinfo%253Adoi%252F10.1136%252Fbmj.322.7282.329%26rft_id%253Dinfo%253Apmid%252F11159655%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bmj&resid=322/7282/329&atom=%2Febmed%2F6%2F4%2F107.atom
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.004 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".