Review: drugs for mild to moderate hypertension in pregnancy reduce the risk of severe hypertension but not pre-eclampsia
Bibliographic record
Abstract
Abalos E, Duley L, Steyn D, et al. Antihypertensive drug therapy for mild to moderate hypertension during pregnancy. Cochrane Database Syst Rev 2007;(1):CD002252. [OpenUrl][1][PubMed][2] Q In pregnant women with mild to moderate hypertension, what are the benefits and risks of antihypertensive (anti-HT) drugs? Is one type of anti-HT drug better than another? Clinical impact ratings GP/FP/Primary care ★★★★★☆☆ GP/FP/Obstetrics ★★★★★★☆ Internal medicine ★★★★★★☆ Nephrology ★★★★★★☆ Obstetrics ★★★★★★☆ ### ![Graphic][3] Data sources: Cochrane Pregnancy and Childbirth Group’s Trials Register (March 2006); Cochrane Central Register of Controlled Trials (2005, issue 3); and Medline, LILACS, and EMBASE/Excerpta Medica (to November 2005). ### ![Graphic][4] Study selection and assessment: randomised controlled trials (RCTs) that evaluated any anti-HT drug (compared with placebo or no anti-HT drug [control] or another type of anti-HT drug) for mild to moderate hypertension during pregnancy. Quasi-randomised studies and those involving treatment for <7 days were excluded. 46 RCTs met the selection criteria: 28 RCTs compared anti-HT drugs with control (n = 3200) and 19 RCTs compared 2 types of anti-HT drugs (n = 1282). ### ![Graphic][5] Outcomes: severe hypertension, pre-eclampsia, fetal or neonatal death, preterm … [1]: {openurl}?query=rft.jtitle%253DCochrane%2BDatabase%2BSyst%2BRev%26rft.volume%253D1%26rft.spage%253DCD002252%26rft_id%253Dinfo%253Apmid%252F17253478%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/external-ref?access_num=17253478&link_type=MED&atom=%2Febmed%2F12%2F4%2F116.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif
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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 | low |
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.005 | 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) | 0.013 | 0.001 |
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".