Pre-Clinical Mobility Limitation (PCML) Outcomes in Rehabilitation Interventions for Middle-Aged and Older Adults: A Scoping Review
Bibliographic record
Abstract
Individuals with pre-clinical mobility limitation (PCML) are at a high risk of future functional loss and progression to disability. The purpose of this scoping review was to provide a comprehensive understanding of PCML intervention studies in middle-aged and older adults. We present the interventions that have been tested or planned, describe how they have been conducted and reported, identify the knowledge gaps in current literature, and make recommendations about future research directions. An initial search of 2,291 articles resulted in 14 articles that met criteria for inclusion. Findings reveal that: (1) there is limited published work on PCML interventions, especially in middle-aged populations; and (2) the complexity and variety of PCML measures make it difficult to compare findings across PCML studies. Despite the diversity of measures, this review provides preliminary evidence that rehabilitation interventions on PCML help to delay or prevent disability progression.
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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 | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".