The Impact of Radiotherapy on Frailty in Patients Aged 65 and Over
Bibliographic record
Abstract
Introduction and objective Frailty is characterized by the body's increased susceptibility to stressors due to aging and a concurrent decline in its resilience. A dominant hypothesis suggests that oncological interventions may amplify this vulnerability. Consequently, elderly individuals with cancer may pose challenges for conventional treatments. This research sought to assess the effects of radiotherapy (RT) on the frailty of elderly cancer patients by utilizing the Edmonton Frail Scale (EFS). Methods This research was designed as a prospective observational study. Patients aged 65 and older, receiving treatment at the radiation oncology clinic, were asked to complete the EFS form both before and at the end of their RT course. The scores achieved before and after the RT were obtained, and the medical histories of the patients were recorded. The difference between the pre- and post-RT scores was calculated by subtracting the post-RT score from the pre-RT score to determine any increase or decrease in the score. For the statistical evaluations, a suite of tests (including the Shapiro-Wilk test, Kolmogorov-Smirnov test, paired sample t-test, independent t-tests, analysis of variance {ANOVA}, and Pearson correlation) were implemented. All analyses were conducted using the Statistical Package for Social Sciences (SPSS) software (version 29.0) (IBM SPSS Statistics, Armonk, NY). Results From April 2021 to August 2023, a total of 121 patients participated in the study. Out of these, 81 underwent assessments both pre- and post-RT. The median age was 73; the median follow-up period was five months. The predominant diagnoses included prostate cancer, breast cancer, and gynecological malignancies. A significant proportion of patients was diagnosed with stage IV cancer and underwent palliative RT. Post-RT evaluations revealed a decline in scores for some patients, while an increase was observed for others. Certain score variations were statistically significant. Moreover, an inverse correlation was discerned between the RT dose and fraction number and the post-RT EFS score. Conclusion Our research confirmed that a substantial number of patients either experienced a decrease or maintained stability in their EFS scores after RT. This observation suggests that RT might not exacerbate frailty in the elderly in the short term. Nevertheless, to elucidate the long-term impact of RT on frailty, there is a pressing need for a comprehensive assessment correlating EFS scores with survival rates.
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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 | 0.001 | 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) | 0.001 | 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".