Comparison of instruments for screening frailty in community-dwelling older adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To conduct a systematic review of studies that verify the comparison between frailty assessment instruments. Methods: Systematic review conducted between January and March 2023 in an electronic database (LILACS and MEDLINE). For the construction of the search strategies, an adaptation of the acronym PICO was used, where P = population (community-dwelling elderly), I: phenomenon of interest (comparison of frailty by different instruments) and CO = context (Primary Health Care). In the searches, the terms "elderly" AND "fragility" AND "instruments" and "Elderly" AND "fragility" AND "instrument" were considered, and the final selection resulted in 13 articles. Results: The comparison between the Edmonton Frailty Scale (EFS) and the Clinical Functional Vulnerability Index (IVCF-20) showed moderate agreement and a strong positive correlation. However, the prevalence of frailty was discrepant, being higher when EFE was used. When analyzing the agreement between the Subjective Assessment of Frailty (SFA) and the IVCF-20, the results indicated weak agreement in the classification of frailty between these instruments. However, moderate agreement was found when the outcome was dichotomized into "frail" and "non-frail". Despite evaluating similar concepts, SFA and IVCF-20 are complementary and one cannot replace the other. Conclusions: Although several studies address different frailty assessment instruments, there is still a scarcity of studies investigating the agreement between these instruments and, in addition, the results presented reinforce the need for a standardized instrument to measure frailty in the elderly in Primary Health Care.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.003 |
| 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 it