Retrospective Cohort Study of Unresectable Stage III Non-Small-Cell Lung Cancer in Canada
Bibliographic record
Abstract
Background: The management of unresectable stage iii non-small-cell lung cancer (nsclc) is complex and best determined through multidisciplinary consultation. A longitudinal, population-level study was carried out to describe the management approach and outcomes of treatment in the real-world setting in Ontario. Methods: Individuals diagnosed with nsclc between 1 April 2010 and 31 March 2015 were identified in the Ontario Cancer Registry. Unresectable disease was defined as no surgery reported within 3 months of diagnosis. Initial treatments included radiotherapy (rt, curative or palliative), chemotherapy, targeted therapy, and chemoradiation [crt, concurrent (ccrt) or sequential (scrt)]. Survival was calculated from diagnosis with stage iii disease to death or last follow-up. Results: Of the 24,729 individuals diagnosed with nsclc, 5243 (21.2%) had stage iii disease, with most of the latter group (4542, 86.6%) having unresectable disease. Median age was 70 years, and 54.2% were men. The frequency of first-line treatment was ccrt, 22.1%; palliative rt, 21.0%; curative rt, 19.6%; no treatment, 19.6%; chemotherapy alone, 11.6%; scrt, 5.4%; and targeted therapy, 0.7%. Median overall survival (mos) was 14.2 months [95% confidence interval (ci): 13.6 months to 14.7 months], with the longest survival observed in patients who received targeted therapy (mos: 34.7 months; 95% ci: 21.4 months to 51.2 months), and the poorest, in those receiving no cancer treatment (mos: 5.9 months; 95% ci: 5.0 months to 6.4 months). The mos in patients receiving ccrt was 23.6 months (95% ci: 21.4 months to 25.6 months). Conclusions: Guideline-recommended ccrt is undertaken in only a small proportion of patients with unresectable nsclc in Ontario. The reasons for low uptake of that recommendation are only partly understood.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".