Association between gastrointestinal events and osteoporosis treatment initiation in women diagnosed with osteoporosis in France: a retrospective analysis
Bibliographic record
Abstract
BACKGROUND: A substantial portion of women diagnosed with osteoporosis (OP) do not initiate pharmacotherapy to reduce fracture risk. In clinical practice, gastrointestinal (GI) events have been linked with OP therapy discontinuation. However, there is limited research examining GI events as barrier to treatment initiation following an OP diagnosis. The objective of this study was to examine the association between gastrointestinal (GI) events and osteoporosis (OP) treatment initiation among post-menopausal women diagnosed with osteoporosis in France. METHODS: A retrospective claims analysis of the Mediplus France database during 1997 to 2010 identified women aged ≥ 55 with an OP diagnosis and without prior OP treatment (first diagnosis date was defined as the index date). GI events were identified during the 1 year pre-index and up to 1 year post-index. OP treatment initiation post-index was identified based on the presence of claims for any bisphosphonate (BIS) or non-BIS OP medication within 1 year post-index. Multivariate models (logistic regression, Cox proportional hazards regression and discrete choice) adjusted for pre-index patient characteristics were used to assess the association of pre- and post-index GI events with the likelihood of initiating OP treatment, and the type of treatment initiated (BIS vs. non-BIS). RESULTS: A total of 10,292 women (mean age 70.3 years) were identified; only 25% initiated OP treatment. Post-index GI events occurred in 11.5% of patients, and were associated with a 75.7% lower likelihood of initiating OP treatment. Among treated patients, a discrete choice model estimated that patients with post-index GI events were 34.6% less likely to receive BIS vs non-BIS as compared to patients without post-index GI events. CONCLUSION: Among women aged ≥ 55 years with an OP diagnosis, post-index GI events were associated with a lower likelihood of OP treatment initiation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".