Bibliographic record
Abstract
CONTEXT: Overstimulation of follicle development in assisted reproductive technology cycles can lead to the development of life-threatening ovarian hyperstimulation syndrome (OHSS). There is evidence that administration of GnRH agonist as the trigger for final follicular maturation, instead of the usual human chorionic gonadotropin trigger, will reduce the risk of OHSS by shortening the duration of luteal stimulation, lowering estrogen levels by inducing luteolysis and reducing the secretion of vascular endothelial growth factor (VEGF). EVIDENCE ACQUISITION: The paper by Miller et al (1) in this month's issue of the Journal of Clinical Endocrinology and Metabolism (JCEM) demonstrates that GnRH agonist may directly reduce the activity of VEGF by stimulation of granulosa cell expression and secretion of pigment epithelial-derived factor (PEDF). EVIDENCE SYNTHESIS: The increased expression and secretion of PEDF in response to a bolus of GnRH agonist may antagonize the adverse effects of VEGF on ovarian vascular permeability and may contribute to luteolysis by reducing corpus luteum vascularity, thereby reducing the risk of OHSS. In addition, stimulation of PEDF may also be part of the protective mechanism of dopamine agonists used for prevention of OHSS. CONCLUSIONS: The new data presented by Miller et al (1) propose a likely mechanism for the reduced risk of OHSS following GnRH agonist triggering of follicle maturation in assisted reproductive technology cycles.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.009 |
| 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 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".