Osteoporosis screening for men: are family physicians following the guidelines?
Bibliographic record
Abstract
OBJECTIVE: To determine rates of screening for osteoporosis among men older than 65 years and to find out whether family physicians are following the recommendations of the Osteoporosis Society of Canada's 2002 Clinical Practice Guidelines for the Diagnosis and Management of Osteoporosis in Canada. DESIGN: Chart audit. SETTING: The Family Medicine Centre at Hotel Dieu Hospital in Kingston, Ont. PARTICIPANTS: All male patients at the Family Medicine Centre older than 65 years for a total of 565 patients associated with 20 different physicians' practices. MAIN OUTCOME MEASURES: Rates of screening with bone mineral density (BMD) scans for osteoporosis, results of BMD testing, and associations between results of BMD testing and age. RESULTS: Of the 565 patients reviewed, 108 (19.1% of the study population) had received BMD testing. Rates of screening ranged from 0% to 38% in the 20 practices. Among 105 patients tested (reports for 3 patients were not retrievable), 15 (14.3%) were found to have osteoporosis, 43 (41.0%) to have osteopenia, and 47 (44.8%) to have normal BMD results. No significant association was found between BMD results and age. Screening rates were higher among men older than 75 years than among men aged 65 to 75 and peaked among those 85 to 89 years old. CONCLUSION: On average, only about 20% of male patients older than 65 years had been screened for osteoporosis, so most of these men were not being screened by BMD testing as recommended in the guidelines. Considering the relatively high rates of osteoporosis and osteopenia found in this study and the known morbidity and mortality associated with osteoporotic fractures in this population, higher rates of BMD screening and more widespread treatment of osteoporosis could prevent many fractures among these patients. Family physicians need to become more aware of the risk factors indicating screening, and barriers to screening and treatment of osteoporosis in men need to be identified and addressed.
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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 | 0.003 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".