Review: drugs for mild to moderate hypertension in pregnancy reduce the risk of severe hypertension but not pre-eclampsia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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]</img>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]</img>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]</img>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
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.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it