Survival and Treatment Patterns in Elderly Patients with Advanced Non-Small-Cell Lung Cancer in Manitoba
Bibliographic record
Abstract
Lung cancer is the leading cause of cancer death worldwide. Non-small-cell lung cancer (nsclc) is the most common form of lung cancer, with a median age at diagnosis of 70 years. These elderly patients are often underrepresented in the randomized clinical trials upon which chemotherapy plans are based. The objective of the present study was to determine the patterns of treatment and survival in elderly patients with advanced nsclc in Manitoba.An eligible cohort of elderly patients over 70 years of age at diagnosis (n = 497) with advanced nsclc was identified from the provincial cancer registry database for the period 2001-2004. Of the 497 patients identified, only 147 had been evaluated by a medical oncologist, and 82 of the 147 had received chemotherapy treatment, which is 16.5% of the initial cohort.Patients who received chemotherapy were younger than those who did not receive chemotherapy. Most patients receiving chemotherapy (84%) received doublet chemotherapy, with an almost equal split between cisplatin and carboplatin treatment. The median survival times for patients in this cohort were 64 weeks (stage iii nsclc) and 56 weeks (stage iv) with chemotherapy treatment, and 46 weeks (stage iii) and 26 weeks (stage iv) without chemotherapy.Although 50% of patients with advanced nsclc are more than 70 years of age, few are evaluated by a medical oncologist and even fewer are treated with chemotherapy. However, it should be noted that, in the elderly patients who were treated, survival times are comparable to those experienced by younger patients, which is indicative of a benefit of chemotherapy treatment for those 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".