Potential of Amifostine for Chemoradiotherapy and Radiotherapy-associated Toxicity Reduction in Advanced NSCLC: A Meta-Analysis.
Bibliographic record
Abstract
BACKGROUND/AIM: The addition of amifostine to chemoradiotherapy (CRT) or radiotherapy (RT) in advanced, inoperable NSCLC presents varying toxicity. The present study examined amifostine's effect on toxicity and efficacy of CRT or RT alone. MATERIALS AND METHODS: Database searches yielded 16 eligible trials comprising of 1,057 patients. Results of randomised trials were pooled and used to estimate the overall effect. RESULTS: Amifostine reduced the risk of >grade 2 acute oesophagitis by 26% [risk ratio (RR), 0.74; 95% confidence interval (CI)=0.65-0.86; p<0.0001] and the risk of acute pulmonary toxicity by 44% (RR, 0.56; 95%CI=0.41-0.75; p=0.0001). Risk of complete response was unchanged (RR, 1.64; 95%CI=0.99-2.73; p=0.06), partial response was unchanged (RR, 0.92; 95% CI=0.73-1.16; p=0.48). Statistical heterogeneity was high for toxicity but low for response. CONCLUSION: Statistical heterogeneity of retrived results casts doubt over amifostine's efficacy in this setting, despite decreased acute oesophageal and pulmonary toxicity. Amifostine did not compromise treatment efficacy.
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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 | 0.016 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.069 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".