Genitourinary syndrome of menopause symptom severity and impact outcome measures: are they reliable and correlated?
Bibliographic record
Abstract
OBJECTIVE: The Most Bothersome Symptom Approach (MBSA) assesses symptom severity of genitourinary syndrome of menopause (GSM), and identifies the symptom with the greatest burden. The Atrophy Symptoms Questionnaire (ASQ) assesses the impact of GSM symptoms on the activities of daily living. The psychometric properties of these outcomes remain to be completely assessed. This study aimed to assess the test-retest reliability of the MBSA and the ASQ and their convergent validity. METHOD: One evaluator administered the outcomes twice 2 weeks apart to postmenopausal women with GSM and urinary incontinence. MBSA reliability was assessed with the graphical analysis of paired differences, Kappa coefficients and intraclass correlation coefficient (ICC), and the ASQ reliability, with paired t test and ICC. The convergent validity of both outcomes was investigated through their association with the Pearson correlation coefficient. RESULTS: Thirty-one women participated in the study. For the MBSA, the severity of the most bothersome symptom obtained a good reliability with 80% observed agreement between sessions, a substantial kappa (0.67 ± 0.12) and excellent ICC (0.88 [95% confidence interval 0.75-0.94]). For the ASQ, no significant difference was found between sessions (P = 0.146) and ICC indicated excellent reliability (0.85 [95% confidence interval 0.69-0.93]). There was a large, positive correlation between the severity of the most bothersome symptom selected by the participants in the MBSA and the ASQ total score for the two measurement sessions (T1: r = 0.587, P = 0.001 and T2: r = 0.601, P < 0.001). CONCLUSIONS: The MBSA and the ASQ are reliable outcome measures in postmenopausal women with GSM and urinary incontinence. Our findings support good convergent validity of those two outcomes as they showed a significant positive correlation between the severity of GSM symptoms and their impact on activities of daily living.
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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 | 0.016 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".