The effect of conjugated estrogens/bazedoxifene therapy on body weight of postmenopausal women
Bibliographic record
Abstract
OBJECTIVE: This post hoc analysis compared body weight, body mass index (BMI), and BMI category changes in postmenopausal women treated with conjugated estrogens/bazedoxifene (CE/BZA) versus placebo in the Selective Estrogens, Menopause, and Response to Therapy (SMART) trials. METHODS: Data were pooled from five randomized, double-blind, placebo- and active-controlled studies in postmenopausal women aged 40 to 75 years with a uterus given CE 0.45 mg/BZA 20 mg (n = 1,607), CE 0.625 mg/BZA 20 mg (n = 1,598), or placebo (n = 1,256) for at least 12 weeks and up to 2 years. Changes from baseline in body weight, BMI (kg/m(2)), and World Health Organization BMI category (underweight <18.5; normal 18.5 to <25; overweight 25 to <30; obese ≥30) during treatment were evaluated. RESULTS: Mean body weight increased less than 0.9 kg and mean BMI increased less than 0.4 kg/m(2) in all treatment groups at all time points. There were no statistically significant between-group differences, except for significantly greater increases in weight (P = 0.015) and BMI (P = 0.014) with placebo versus CE 0.625 mg/BZA 20 mg at month 12. Approximately, 10% of women in the CE/BZA groups and 11% in the placebo group had increases in body weight greater than 7% of baseline. The majority of BMI changes were within ±7%, and there were no statistically significant between-group differences in BMI category distributions during treatment. CONCLUSIONS: Significant increases in body weight or BMI were not observed in postmenopausal women receiving CE 0.45 mg/BZA 20 mg or CE 0.625 mg/BZA 20 mg for up to 2 years in the Selective Estrogens, Menopause, and Response to Therapy trials.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".