Prise en charge de l’ostéoporose dans les unités de courte durée gériatriques
Bibliographic record
Abstract
OBJECTIVE: To identify the recommendations in Canadian and American clinical practice guidelines for the management of osteoporosis that are applicable to vulnerable, older patients in short-term geriatric units (STGU). DESIGN: Modified Delphi approach according to the RAND/UCLA method. SETTING: A panel of experts from various regions of Quebec. PARTICIPANTS: The panel consisted of 6 physicians, 5 pharmacists, and 3 nutritionists recognized by their peers for their expertise in STGU. METHODS: Eleven recommendations from the North American guidelines were submitted to a panel of experts who were asked to identify those most appropriate for the management of osteoporosis in STGU. Each expert’s level of agreement with the recommendations and the experts’ general level of agreement were used to determine the relevance of the recommendations. FINDINGS: The experts reached a consensus on each of the 11 recommendations. Seven recommendations were deemed appropriate for the management of osteoporosis in vulnerable, older patients in STGU. Bone mineral density measurement as a parameter for follow-up was the only recommendation deemed inappropriate in this context. The experts remained uncertain about 3 recommendations: systematic screening for osteoporosis by bone mineral density measurement; systematic screening or evaluation of the risk factors for fractures; and pharmacologic prevention in vulnerable, older patients with an increased risk of fracture. CONCLUSION: Some of the recommendations issued in the North American recommendations appear to be less appropriate for managing osteoporosis in vulnerable, older patients in STGU. The recommendations retained in this study could be used to standardize interventions for these patients and to determine the extent to which current practice follows the recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 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".