Threshold Berg Balance Scale Scores for Gait-Aid Use in Elderly Subjects: A Secondary Analysis
Bibliographic record
Abstract
PURPOSE: To determine the threshold Berg Balance Scale (BBS) scores that discriminate among levels of gait-aid use in elderly subjects. METHODS: A secondary analysis of data combined from two projects was performed. Both projects determined BBS performance, self-selected gait speed, and gait-aid use in samples of community-dwelling, independently ambulant individuals older than 65 years of age. Receiver operating characteristic curves were used to identify BBS scores that optimized identification of individuals with different levels of ambulation. RESULTS: Previously determined associations between BBS score and various indicators of ambulatory ability were reproduced with the combined data set. Threshold BBS scores were identified for ability to walk without an aid (≥49/56) and ability to walk without a four-wheeled walker (≥43/56). The percent agreement values for the identified threshold scores ranged from 51% to 87%. CONCLUSIONS: Although some threshold BBS scores could be determined, the accuracies of the scores render them of limited use for guiding gait-aid prescription in individual clients.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".