Asia–Pacific consensus for the management of osteoporosis in men
Bibliographic record
Abstract
Osteoporosis in men is an underdiagnosed and undertreated condition that leads to significant morbidity and mortality, particularly in the aging population. This consensus report provides tailored guidelines for diagnosing, preventing, and treating male osteoporosis in the Asia-Pacific region by integrating global best practices with regional adaptations. PURPOSE: To establish evidence-based, region-specific guidelines for the management of male osteoporosis in the Asia-Pacific region, addressing demographic and lifestyle factors. METHODS: Expert feedback was gathered through premeeting reviews, consensus conferences, and collaborative discussions. A life-course approach was employed to align international best practices with Asia-Pacific-specific needs, emphasizing continuous monitoring and intervention from middle age onward. RESULTS: The 12 consensus strategies systematically approach male osteoporosis management, addressing screening, diagnosis, treatment, and long-term follow-up. Recommendations include the assessment of fracture risk for men aged 50 years and above, use of dual-energy X-ray absorptiometry (DXA) testing for men aged 70 years and above, lifestyle modifications, and pharmacological interventions such as bisphosphonates, denosumab, and anabolic agents for high-risk patients. Secondary causes of osteoporosis were highlighted, along with the establishment of fracture liaison services (FLSs) to improve long-term care. A life-course approach was proposed to optimize bone health throughout men's lives. CONCLUSION: This consensus provides a comprehensive framework tailored to the Asia-Pacific region for diagnosing, preventing, and managing osteoporosis in men. By addressing region-specific challenges and promoting evidence-based interventions, the latest guidelines incorporating the consensus may depict the conceptual direction in reducing fracture risk and improving long-term bone health outcomes for osteoporosis in men.
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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 | 0.024 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".