Progesterone for the prevention of preterm birth: a narrative review
Bibliographic record
Abstract
Preterm birth is the main cause of perinatal mortality in the world. Despite interventions, preterm rates keep rising. Several studies have assessed the utility of progesterone as a preventive intervention in high risk patients. This narrative review aims to assess the current evidence regarding prevention of preterm birth with progesterone. A search in different databases between 2000 - 2015 of clinical trial studies, meta–analysis and clinical practice guidelines was conducted. Mesh terminology was used. Relevance of studies was determined by using PRISMA and CONSORT checklists, and quality of evidence was established according to the Canadian Task Force on Preventive Health Care criteria. 32141 studies were found, 17 were included for this review. Meta–analysis: 2, clinical trials: 8, systematic reviews: 2, secondary analysis of clinical trials: 2, decision analysis: 1, clinical practice guidelines: 2. It was concluded that progesterone, when used in single pregnancy in high risk patients (cervicometry
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
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".