Advanced prediction of functional outcomes in hip fracture patients using premorbid functional assessments
Bibliographic record
Abstract
Purpose: This historical cohort study aims to determine the relationship between premorbid functional status and functional decline in hip fracture patients. Methods: Eighty-two hip fracture patients were divided into Group A (good rehabilitation potential) and Group B (fair rehabilitation potential) based on four premorbid functional assessments: Modified Functional Ambulation Category (MFAC), Modified Barthel Index (MBI), Hong Kong Montreal Cognitive Assessment 5-Minute and functional prognosis predictive score. Declines in MFAC and MBI after rehabilitation were compared. Results: Sixty-seven percent of patients in Group A had up to one category decline in final MFAC, whereas 66% in Group B had more than one category decline. Similarly, median decline in final MBI was seven in Group A versus 22 in Group B. Conclusion: Hip fracture patients with good rehabilitation potential have significantly fewer functional declines. It is possible for them to be directly discharged from acute hospital for outpatient rehabilitation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| 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".