Association of gastrointestinal events with quality of life and treatment satisfaction in osteoporosis patients: results from the Medication Use Patterns, Treatment Satisfaction, and Inadequate Control of Osteoporosis Study (MUSIC OS)
Bibliographic record
Abstract
The purpose of this study was to assess the association of GI events with HRQoL and treatment satisfaction. The effect of baseline GI events persisted through 1 year of follow-up, as indicated by lower EQ-5D, OPAQ-SV, and treatment satisfaction scores among patients with vs without baseline GI events. The presence of GI events is an independent predictor of decreased HRQoL and treatment satisfaction in patients being treated for osteoporosis. INTRODUCTION: The goal of this study was to assess the association of gastrointestinal (GI) events with health-related quality of life (HRQoL) and treatment satisfaction in patients being treated for osteoporosis. METHODS: MUSIC OS was a multinational, prospective, observational study examining the impact of GI events on osteoporosis management in postmenopausal women. In this analysis, HRQoL and treatment satisfaction were assessed at baseline, 6, and 12 months and compared between patients with and without GI events. Covariate-adjusted scores were calculated using multivariate least-squares regression analysis, and differences between the mean scores of patients with and without baseline and post-baseline GI events were determined. RESULTS: Among the 2959 patients in the analysis, unadjusted scores at each time point were lower (i.e., worse) for patients with GI events than patients without GI events. In adjusted analyses, the effect of baseline GI events persisted through 1 year of follow-up, as indicated by lower EQ-5D and OPAQ-SV scores at 12 months among patients with vs without baseline GI events (-0.04 for the EQ-5D utility score, -5.07 for the EQ-5D visual analog scale, -3.35 for OPAQ physical function, -4.60 for OPAQ emotional status, and -8.50 for OPAQ back pain; P ≤ 0.001 for all values). Decrements in month 12 treatment satisfaction scores were -6.46 for patients with baseline GI events and -7.88 for patients with post-baseline GI events. CONCLUSIONS: The presence of GI events is an independent predictor of decreased HRQoL and treatment satisfaction in patients being treated for osteoporosis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".