Rationale and design of MUSIC OS-EU: an international observational study of the treatment of postmenopausal women for osteoporosis in Europe and Canada.
Bibliographic record
Abstract
OBJECTIVES: The Medication Use Patterns, Treatment Satisfaction, and Inadequate Control of Osteoporosis Study (MUSIC OS-EU) was designed to better understand the rate and burden of gastrointestinal (GI) events on clinical and health care outcomes among postmenopausal women with osteoporosis. METHODS: MUSIC OS-EU is a prospective, multinational, observational cohort study of postmenopausal women ≥50 years of age diagnosed with osteoporosis and enrolled in physician clinics in six countries: France, Italy, the Netherlands, Sweden, the United Kingdom, and Canada. The MUSIC OS-EU study has three components: (i) a physician survey to describe their management of osteoporotic patients with GI events; (ii) a retrospective chart survey to describe the receipt and type of osteoporosis medication prescribed; and (iii) a prospective cohort study including untreated and treated patients diagnosed with osteoporosis to investigate the rate of GI events and association with osteoporosis medication use patterns, health-related quality of life, treatment satisfaction and resource utilisation among postmenopausal women with osteoporosis. RESULTS: Physicians at 97 sites completed the physician questionnaire and data for 716 patients were abstracted for the retrospective chart review. Enrolment and the baseline data collection for the prospective cohort study were conducted between March 2012 and June 2013 for 292 untreated and 2,959 treated patients, of whom 684 were new users and 2,275 were experienced users of oral osteoporosis medications. CONCLUSIONS: The results of MUSIC OS-EU will illuminate the association of GI events with the management of osteoporosis and with patient-reported outcomes among postmenopausal women with osteoporosis in Europe and Canada.
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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 | 0.037 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".