The Role of Bisphosphonate Drug Holidays in the Management of Osteoporosis
Bibliographic record
Abstract
Osteoporosis is a chronic skeletal disorder of compromised bone strength leading to an increased risk of fragility fractures, particularly with advancing age. More than 2 million Canadians are living with osteoporosis, and osteoporotic fractures are associated with considerable morbidity, increased mortality, and high economic burden to the healthcare system. The ultimate goal of osteoporosis pharmacotherapy is to reduce the risk of fragility fractures. Bisphosphonates are the most widely used first-line medications for osteoporosis due to their robust anti-fracture efficacy and favourable safety profile, as demonstrated in short-term randomized placebo-controlled trials of 3-years duration with fracture outcome assessed as the primary endpoint. However, the optimal duration of bisphosphonate therapy has been questioned regarding their long‑term efficacy and safety given their long half‑life in bone. Prolonged use is associated with very rare but serious adverse complications such as atypical femoral fracture (AFF) and osteonecrosis of the jaw (ONJ). Moreover, while extension trials indicate that long‑term bisphosphonate therapy helps maintain bone density, the evidence supporting further fracture risk reduction with prolonged treatment is less convincing. Regarding concerns about rare adverse effects and the attenuated benefit-to-risk ratio with long‑term use, several professional organizations have issued guidelines suggesting bisphosphonate drug holidays. This approach aims to minimize prolonged exposure and mitigate rare risks while preserving some residual anti-fracture benefits from the persistent drug in the skeleton. Here, we review the role of bisphosphonate drug holidays in the long-term management of osteoporosis, the supporting evidence, recommended guidelines on treatment duration, along with key considerations for implementing a bisphosphonate drug holiday.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".