Adjuvant Vinorelbine and Cisplatin in Elderly Patients: National Cancer Institute of Canada and Intergroup Study JBR.10
Bibliographic record
Abstract
PURPOSE: Recent trials have shown significant survival benefit from adjuvant chemotherapy for non-small-cell lung cancer (NSCLC). Whether elderly patients tolerate platinum-based adjuvant chemotherapy and derive the same survival advantage is unknown. This retrospective study evaluated the influence of age on survival, adjuvant chemotherapy delivery, and toxicity in National Cancer Institute of Canada (NCIC) Clinical Trials Group study JBR.10. PATIENTS AND METHODS: Pretreatment characteristics and survival were compared for 327 young (< or = 65 years) and 155 elderly (> 65 years) patients. Chemotherapy delivery and toxicity were compared for 213 treated patients (63 elderly, 150 young). RESULTS: Baseline demographics by age were similar with the exception of histology (adenocarcinoma: 58% young, 43% elderly; squamous: 32% young, 49% elderly; P = .001) and performance status (PS; PS 0: 53% young, 41% elderly; P = .01). Chemotherapy significantly prolonged overall survival for elderly patients (hazard ratio, 0.61; 95% CI, 0.38 to 0.98; P = .04). This benefit is similar to the effect for all patients in JBR.10. Mean dose-intensities of vinorelbine and cisplatin were 13.2 and 18.0 mg/m2/wk in young, respectively, and 9.9 and 14.1 mg/m2/wk in elderly patients (vinorelbine, P = .0004; cisplatin, P = .001), respectively. The elderly received significantly fewer doses of vinorelbine (P = .014) and cisplatin (P = .006). Fewer elderly patients completed treatment and more refused treatment (P = .03). There were no significant differences in toxicities, hospitalization, or treatment-related death by age group. Fifteen (11.9%) of 126 deaths in the young resulted from nonmalignant causes, and 15 (21.1%) of 71 in the elderly (P = .13). CONCLUSION: Despite elderly patients' receiving less chemotherapy, adjuvant vinorelbine and cisplatin improves survival in patients older than 65 years with acceptable toxicity. Adjuvant chemotherapy should not be withheld from elderly patients.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".