Simple self‐report <scp>FRAIL</scp> scale might be more closely associated with dialysis complications than other frailty screening instruments in rural chronic dialysis patients
Bibliographic record
Abstract
AIM: Despite the perceived importance of frailty, few studies focus on its impact on rural patients undergoing chronic dialysis. Comparison of different self-report questionnaires in assessing frailty among these patients has not been attempted before. METHODS: A prospectively enrolled chronic dialysis cohort from a rural centre was recruited for analysis. Six types of self-report questionnaires were administered to these patients. Clinical and dialysis-related laboratory parameters were collected. Correlation analyses between questionnaire results and dialysis complications were performed, and variables demonstrating significant correlations were entered into multivariate regression models to determine their independent associations. RESULTS: Six types of questionnaire (Strawbridge questionnaire, Edmonton Frail Scale, simple FRAIL scale, Groningen Frail Indicator, G8 questionnaire, and Tilburg Frail Indicator) were provided to rural patients undergoing chronic dialysis. Scores from each questionnaire showed significant association with each other, except the G8 questionnaire. Scores from the simple FRAIL scale correlated significantly with age (P = 0.02), female gender (P = 0.03), higher Liu's comorbidity index (P = 0.02), lower serum albumin (P = 0.03) and creatinine levels (P < 0.01), and higher ferritin levels (P = 0.02). The other five questionnaires did not show consistently significant relationships with important dialysis-related complications. Multivariate linear regression analysis identified an independently negative association between serum albumin and the simple FRAIL scale results (P = 0.01). CONCLUSION: This is the first study establishing the utility of different self-report questionnaires for assessing frailty in chronic dialysis patients. The simple FRAIL scale scores might demonstrate a closer relationship with dialysis-related complications.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".