Making the first fracture the last fracture: ASBMR task force report on secondary fracture prevention
Bibliographic record
Abstract
Fragility fractures are common, affecting almost one in two older women and one in three older men. Every fragility fracture signals increased risk of future fractures as well as risk of premature mortality. Despite the major health care impact worldwide, currently there are few systems in place to identify and "capture" individuals after a fragility fracture to ensure appropriate assessment and treatment (according to national guidelines) to reduce future fracture risk and adverse health outcomes. The Task Force reviewed the current evidence about different systematic interventional approaches, their logical background, as well as the medical and ethical rationale. This included reviewing the evidence supporting cost-effective interventions and developing a toolkit for reducing secondary fracture incidence. This report presents this evidence for cost-effective interventions versus the human and health care costs associated with the failure to address further fractures. In particular, it summarizes the evidence for various forms of Fracture Liaison Service as the most effective intervention for secondary fracture prevention. It also summarizes the evidence that certain interventions, particularly those based on patient and/or community-focused educational approaches, are consistently, if unexpectedly, ineffective. As an international group, representing 36 countries throughout Asia-Pacific, South America, Europe, and North America, the Task Force reviewed and summarized the international data on barriers encountered in implementing risk-reduction strategies. It presents the ethical imperatives for providing quality of care in osteoporosis management. As part of an implementation strategy, it describes both the quality improvement methods best suited to transforming care and the research questions that remain outstanding. The overarching outcome of the Task Force's work has been the provision of a rational background and the scientific evidence underpinning secondary fracture prevention and stresses the utility of one form or another of a Fracture Liaison Service in achieving those quality outcomes worldwide. © 2012 American Society for Bone and Mineral Research.
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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 | 0.026 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".