A randomized controlled trial of a lifestyle intervention with longitudinal follow‐up on ovarian dysmorphology in women with polycystic ovary syndrome
Bibliographic record
Abstract
OBJECTIVE: Effects of lifestyle modification on reproductive function in polycystic ovary syndrome (PCOS) remain poorly elucidated. We compared the effects of a pulse-based diet (lentils, beans, split peas and chickpeas) with Therapeutic Lifestyle Changes (TLC) diet on ultrasonographic markers of ovarian morphology, hyperandrogenism and menstrual irregularity in PCOS. DESIGN: Randomized controlled trial. PATIENTS: Women with PCOS (18-35 years). MEASUREMENTS: Thirty women randomized to the pulse-based and 31 to TLC groups completed a 16-week intervention without energy restriction. Groups performed aerobic exercise (minimum of 5 days/wk; 45 minutes/d) and received health counselling (monthly) and longitudinal follow-up. Follicle numbers per ovary (FNPO, 2-9 mm), ovarian volume (OV), free androgen index (FAI) and menstrual cycle length were measured pre- and postintervention. RESULTS: Follicle numbers per ovary (mean change ± SD, -10 ± 15), OV (-2.7 ± 4.8 mL), FAI (-3 ± 2) and menstrual cycle length (-13 ± 47 days) decreased over time in both groups (All: P < .01), without group-by-time interactions (All: P ≥ .13). Attrition rate was 33.7% and comparable between groups (P = .94). Adherence to diet intervention negatively correlated with changes in FNPO (r=-0.54), OV (r=-0.35) and FAI (r = -.29) in pooled groups (All: P ≤ .04). Groups maintained reduced OV, FNPO, FAI and menstrual cycles 6 months postintervention; however, decreased FNPO and FAI at 16 weeks tended to revert to baseline levels 12 months postintervention in both groups (All: P ≤ .05). CONCLUSIONS: Both interventions improved ovarian dysmorphology, hyperandrogenism and menstrual irregularity in PCOS, and no diet appeared to be superior at improving reproductive outcomes. Our observations highlight the importance of longitudinal surveillance for sustainable adherence to newly adopted healthy lifestyle behaviours and reproductive health in PCOS (ClinicalTrials.gov identifier, NCT01288638).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".