Understanding Preterm Labor
Bibliographic record
Abstract
Increased uterine contractility at term and preterm results from activation and then stimulation of the myometrium. Activation can be provoked by mechanical stretch of the uterus and by an endocrine pathway resulting from increased activity of the fetal hypothalamic-pituitary-adrenal (HPA) axis. In fetal sheep, increased cortisol output during pregnancy regulates prostaglandin H synthase type 2 (PGHS2) expression in the placenta in an estrogen-independent manner, resulting in increased levels of PGE2 in the fetal circulation. Later increases in maternal uterine expresssion of PGHS2 require elevations of estrogen and lead to increased concentrations of PGF2alpha in the maternal circulation. Thus, regulation of PGHS2 at term is differentially controlled in fetal (trophoblast) and maternal (uterine epithelium) tissue. This difference may reflect expression of the glucocorticoid receptor (GR), but not estrogen receptor (ER), in placental trophoblast cells. In women, cortisol also contributes to increased PG production in fetal tissues through upregulation of PGHS2 (amnion and chorion) and downregulation of 15-OH PG dehydrogenase (chorion trophoblasts). The effect of cortisol on chorion expression of PGDH reverses a tonic stimulatory effect of progesterone, potentially through a paracrine or autocrine action. We have interpreted this interaction as a reflection of "progesterone withdrawal" in the primate, in relation to birth. Other agents, such as proinflammatory cytokines, similarly upregulate PGHS2 and decrease expression of PGDH, indicating the presence of several mechanisms by which labor at term or preterm may be initiated. These different mechanisms need to be considered in the development of strategies for the detection and management of the patient in preterm labor.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".