WILL (When to induce labour to limit risk in pregnancy hypertension): Protocol for a multicentre randomised trial
Bibliographic record
Abstract
To address optimal timing of birth for women with chronic or gestational hypertension who reach term and remain well. Pragmatic, non-masked randomised trial. Inclusion: maternal age ≥16 years, chronic or gestational hypertension, singleton pregnancy, live fetus, 36+0–37+6 weeks’ gestation, and able to give documented informed consent. Exclusion: contraindication to either trial arm (e.g., pre-eclampsia or another indication for birth at term), blood pressure (BP) ≥ 160/110 mmHg until controlled, major fetal anomaly anticipated to require neonatal care unit admission, or participation in another timing of birth trial. Randomisation (1:1 ratio, minimised for key prognostic variables: site, hypertension type, and prior Caesarean) to ‘planned early term birth at 38+0-3 weeks’ or ‘usual care at term’ (revised from ‘expectant care until at least 40+0 weeks’, Aug 2022). Maternal co-primary: composite of ‘poor maternal outcome’ (severe hypertension, maternal death, or maternal morbidity). Neonatal co-primary: neonatal care unit admission for ≥4 h. Each co-primary is measured until primary hospital discharge or 28 days post-birth (whichever is earlier). Key secondary: Caesarean birth. Sample of 1080 participants (540/arm) will detect an 8% reduction in the maternal co-primary (90% power, superiority hypothesis), and give 94% power for a between-group non-inferiority margin of difference of 9% in the neonatal co-primary. Analysis will be by intention-to-treat. Ethics approval has been obtained (NHS Health Research Authority London Fulham Research Ethics Committee, 18/LO/2033). The study will provide data for women to make informed choices about their care and allow health systems to plan services.
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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 | 0.034 | 0.038 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.143 | 0.028 |
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".