Retention of estradiol negative feedback relationship to LH predicts ovulation in response to caloric restriction and weight loss in obese patients with polycystic ovary syndrome
Bibliographic record
Abstract
The present study tests the hypothesis that specific endocrine, metabolic, and anthropometric features distinguish obese women with polycystic ovary syndrome (PCOS) who resume ovulation in response to calorie restriction and weight loss from those who do not. Fifteen obese (body mass index 39 +/- 7 kg/m(2)) hyperandrogenemic oligoovulatory patients undertook a very low calorie diet (VLCD), wherein each lost > or =10% of body weight over a mean of 6.25 mo. Body fat distribution was quantitated by magnetic resonance imaging. Hormones were measured in the morning at baseline, after 1 wk of VLCD, and after 10% weight loss. To monitor LH release, blood was sampled for 24 h at 10-min intervals before intervention and after 7 days of VLCD. Responders were defined a priori as individuals exhibiting two or more ovulatory cycles in the course of intervention, as corroborated by serum progesterone concentrations > or =18 nmol/l followed by vaginal bleeding. At baseline, responders had a higher sex hormone-binding globulin (SHBG) concentration but were otherwise indistinguishable from nonresponders. Body weight, the size of body fat depots, and plasma insulin levels declined to a similar extent in responders and nonresponders. Also, SHBG increased, and the free testosterone index decreased comparably. However, responders exhibited a significant decline of circulating estradiol concentrations (from 191 +/- 82 to 158 +/- 77 pmol/l, means +/- SD, P = 0.037) and a concurrent increase in LH secretion (from 104 +/- 42 to 140 +/- 5 U.l(-1).day(-1), P = 0.006) in response to 7 days of VLCD, whereas neither parameter changed significantly in nonresponders. We infer that evidence of retention of estradiol-dependent negative feedback on LH secretion may forecast follicle maturation and ovulation in obese patients with PCOS under dietary restriction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".