The importance of physical function to people with osteoporosis
Bibliographic record
Abstract
There is increasing need to understand patient outcomes in osteoporosis. This article discusses that fracture in osteoporosis can lead to a cycle of impairment, driven by complex psychosocial factors, having a profound impact on physical function/activity which accumulates over time. More information is required on how treatments impact physical function. INTRODUCTION: There is increasing need to understand patient-centred outcomes in osteoporosis (OP) clinical research and management. This multi-method paper provides insight on the effect of OP on patients' physical function and everyday activity. METHODS: Data were collected from three sources: (1) targeted literature review on OP and physical function, conducted in MEDLINE, Embase and PsycINFO; (2) secondary thematic analysis of transcripts from patient interviews, conducted to develop a patient-reported outcome instrument. Transcripts were re-coded to focus on OP impact on daily activities and physical function for those with and without fracture history; and (3) discussions of the literature review and secondary qualitative analysis results with three clinical experts to review and interpret the importance and implications of the findings. RESULTS: Results suggest that OP, particularly with fracture, can have profound impacts on physical function/activity. These impacts accumulate over time through a cycle of impairment, as fracture leads to longer term detriments in physical function, including loss of muscle, activity avoidance and reduced physical capacity, which in turn leads to greater risk of fracture and potential for further physical restrictions. The cycle of impairment is complex, as other physical, psychosocial and treatment-related factors, such as comorbidities, fears and beliefs about physical activity and fracture risk influence physical function and everyday activity. CONCLUSION: More information on how treatments impact physical function would benefit healthcare professionals and persons with OP in making treatment decisions and improving treatment compliance/persistence, as these impacts may be more salient to patients than fracture incidence.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".