Outcomes in older adults with metastatic esophageal and gastric carcinoma treated with palliative chemotherapy
Bibliographic record
Abstract
BACKGROUND: The incidence of esophageal and gastric carcinoma (GEC) in elderly patients is increasing, yet patients ≥75 years have historically been underrepresented in clinical trials. We sought to investigate palliative chemotherapy administration patterns and survival outcomes in older adults. MATERIALS AND METHODS: A retrospective analysis identified patients aged 65-74 (young-old) and ≥75 years (older-old) diagnosed with advanced GEC. Patient and tumor characteristics were recorded, with descriptive analysis, time-to-event data analysis using Kaplan-Meier curves and multivariate Cox proportional hazards regression analysis performed. RESULTS: One hundred and ninety-eight "young-old" and 109 'older-old' patients were identified. Patient characteristics were similar between groups except for Charlson Co-morbidity Index (CCI), with lower co-morbidities in the "young-old" compared to "older-old" cohort (P < .001; CCI = 0 in 103 (52%) "young-old" vs 31 (28%) "older-old"). The primary diagnosis in both groups was adenocarcinoma. 119 (60%) "young-old" and 25 (23%) "older-old" patients received chemotherapy (P < .001). Performance status was the primary explanation for chemotherapy non-receipt in both cohorts; age was the explanation in 21 (25%) "older-old" patients and none in the "young-old" patients. PFS for first-line systemic therapy in "young-old" patients was 6.4 (95% CI 5.9-7.6) versus 7.5 months (95% CI 5.1-11.3) in "older-old" patients (P = .69) whilst respective OS was 12.3 (95% CI 10.1-15.5) and 10.4 months (95% CI 9.0-14.6) (P = .0816). Toxicity prompted chemotherapy cessation in 17 (15%) "young-old" and 3 (13%) "older-old" patients (P = .97). Multivariate analysis identified CCI and ECOG performance status as predictive for PFS and OS, respectively. No causative relationship was identified with other variables. CONCLUSION: Our study of real-world older-adults show that significant number of "older-old" patients with GEC do not receive chemotherapy. Among "older-old" adults who do receive systemic therapy, outcomes are comparable; this underscores the importance of geriatric assessment-guided care and suggests that age alone should not be a barrier to receipt of chemotherapy in patients with advanced GEC.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".