FRAIL scale: Predictive validity and diagnostic test accuracy
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 examine the predictive validity of the FRAIL scale for mortality, and diagnostic test accuracy (DTA) against the frailty phenotype (FP). MEASUREMENT: Frailty was measured in 846 community-dwelling adults (mean age 74.3 [SD 6.3] years, 54.8% female) using a modified FRAIL scale and modified FP. Mortality was matched to death records. RESULTS: The FRAIL scale demonstrated significant predictive validity for mortality up to 10 years (Frail adjHR: 2.60, P < .001). DTA findings were acceptable for specificity (86.8%) and Youden index (0.50), but not sensitivity (63.6%), or area under the receiver operator curve (auROC) (0.75). DTA estimates were more acceptable when a cut-point of ≥2 characteristics was used rather than ≥3 in the primary DTA analysis. CONCLUSION: The FRAIL scale is a valid predictor of mortality. DTA estimates depend on FRAIL scale cut-point used. This instrument is a potentially useful frailty screening tool.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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