Edmonton Frail Scale predicts mortality in older patients with cancer undergoing radiotherapy—A prospective observational study
Bibliographic record
Abstract
BACKGROUND: Several screening tools are developed to identify frailty in the increasing number of older patients with cancer. Edmonton Frail Scale (EFS) performs well in geriatric settings but is less studied in oncology. We aimed to investigate if EFS score (continuous and categorical) predicts survival in patients referred for radiotherapy, and to assess the concurrent validity of EFS compared with a modified geriatric assessment (mGA). METHODS: Prospective observational, single-center study including patients ≥65 years, referred for curative or palliative radiotherapy for confirmed cancer. Patients underwent mGA (assessment of cognition, mobility, falls, comorbidity, polypharmacy, depression, nutrition, and activities of daily living) and screening with EFS prior to radiotherapy. The predictive value of EFS score of two-year overall survival (OS) was assessed by Kaplan-Meier plots and compared by log-rank test. Cox proportional hazards regression model was estimated to adjust the associations for major cancer-related factors. Concurrent validity of EFS in relation to mGA was estimated by Spearman`s correlation coefficient and ordinal regression. Sensitivity and specificity for different cut-offs was assessed. RESULTS: Patients' (n = 301) mean age was 73.6 (SD 6.3) years, 159 (52.8%) were men, 54% received curative-intent treatment, breast cancer (32%) was the most prevalent diagnosis. According to EFS≥6, 101 (33.7%) were classified as frail. EFS score was predictive of OS [hazard ratio (HR) 1.20 (95% confidence interval (CI) 1.10-1.30)], as was increasing severity assessed by categorical EFS (p<0.001). There was a strong correlation between EFS score and number of geriatric impairments (Spearman`s correlation coefficient 0.77). EFS cut-off ≥6 had a sensitivity of 0.97 and specificity of 0.57 for identifying patients with minimum two geriatric impairments. CONCLUSION: EFS predicts mortality in older patients with cancer receiving radiotherapy, and it is a quick (<5 minutes) and sensitive screening tool to identify patients who may benefit from a geriatric assessment.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".