Meta Analysis Study Of Progesterone Receptors Effect on Parturition
Bibliographic record
Abstract
Prematurity is associated with morbidity and mortality. There is alot of causative factors that involved. One of the contributing factors is the presence of uterine contractions that occur prematurely. This is due to a decrease in progesterone levels. This decrease can be achieved by changing the levels of the progesterone receptor (PR) isoform in the myometrium. Objective: To determine whether there is a connection between changes in progesterone receptor isoform levels on labor. This systematic study was arranged according to Prefered Reporting Items For Systematic Review and Meta-Analysis (PRISMA). The articles studied were observational studies. Each article was tested for the quality of the Newcastle-Ottawa Scale literature because the articles used were of the case-control type. From the search results using the search strategy in PUBMED, there were 190 articles that were then selected based on title, abstract, and inclusion and exclusion criteria obtained 4 articles that fit the criteria desired by the researcher. From the results of a systematic study, it was found that the number of progesterone receptor ratios in pregnant women who had spontaneous labor compared to pregnant women who gave birth via planned cesarean section. Pregnancy within labor experienced an increase in the PR-A/PR-B ratio by 1.12 times compared to that of cesarean section delivery.
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 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 | 0.013 | 0.029 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.058 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".