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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".