Treatment Satisfaction in Postmenopausal Women Suboptimally Adherent to Bisphosphonates Who Transitioned to Denosumab Compared With Risedronate or Ibandronate
Bibliographic record
Abstract
CONTEXT: For many patients, adhering to postmenopausal osteoporosis treatment is a challenge. Higher treatment satisfaction is associated with greater persistence with these therapies, which is associated with better outcomes. OBJECTIVE: This study aimed to evaluate the change in treatment satisfaction in postmenopausal women who were suboptimally adherent to daily or weekly oral bisphosphonates and who transitioned to denosumab vs a monthly oral bisphosphonate. DESIGN AND SETTING: Pooled data of outpatients from two international, multicenter, randomized, open-label studies were analyzed. PATIENTS: Postmenopausal women (n = 1703) age 55 years or greater with low bone mineral density who were suboptimally adherent with prior oral bisphosphonate therapy, as assessed by the Osteoporosis-Specific Morisky Medication Adherence Scale, were included in the study. INTERVENTIONS: Patients received denosumab, a fully human monoclonal antibody to receptor activator of nuclear factor-kappa B ligand, 60 mg s.c. every 6 months vs the oral bisphosphonates ibandronate or risedronate, 150 mg once monthly for 12 months. MAIN OUTCOME MEASURES: Change in treatment satisfaction scores from baseline to months 6 and 12 were measured using the Treatment Satisfaction Questionnaire for Medication (TSQM). The TSQM is a validated tool that measures perception of four domains of treatment satisfaction: effectiveness, side effects, convenience, and global satisfaction. RESULTS: Patients in both treatment groups showed improvement from baseline for all four TSQM domains at 6 and 12 months. However, the denosumab group had significantly (all P < .001) greater improvements among all four TSQM domains at 6 and 12 months compared with the oral bisphosphonate group. CONCLUSIONS: Women with low adherence to oral bisphosphonates reported greater treatment satisfaction when transitioned to denosumab vs switching to a monthly oral bisphosphonate.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".