Low–molecular-weight Heparin and Recurrent Placenta-mediated Pregnancy Complications: A Meta-Analysis of Individual Patient Data From Randomized Controlled Trials
Bibliographic record
Abstract
( Lancet . 2016;388:2629–2641) Placenta-mediated pregnancy complications include preeclampsia, birth of a small for gestational age (SGA) neonate, placental abruption, and late pregnancy loss. They are significant contributors to maternal and neonatal morbidity and mortality. Patients experiencing these complications are also at risk of placenta-mediated complications occurring in subsequent pregnancies. Effective preventive measures for these complications are generally lacking. The current investigators had previously published a study-level meta-analysis that indicated low–molecular-weight heparin (LMWH) could reduce the risk of recurrence. However, there was significant heterogeneity in that study so they decided to perform an individual patient data meta-analysis to evaluate the efficacy of LMWH to prevent recurrent placenta-mediated complications in subsequent pregnancies.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".