The impact of synchronous malignancies on survival in patients with early stage curable non-small-cell lung cancer
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: To determine if synchronous extrapulmonary malignancies in early stage lung cancer impact survival and cost of care in the current era of improved therapies and diagnostics. METHODS: Patients with stage I and II lung cancer were identified from the Ontario Cancer Registry and prognostic factors were obtained from provincial health administrative databases. Synchronous extrapulmonary malignancies were defined as those detected within 6 months from diagnosis of the lung primary. Survival was calculated using the Kaplan-Meier method and examined based on a 6-month landmark time point. The log-rank test and Cox proportional hazards regression was used to examine the effect of synchronous primaries on survival, univariately and after adjusting for prognostic factors. Cost of care was calculated by summing fees for all provincially funded services over 3 years. RESULTS: In a cohort of 6890 patients, those with synchronous malignancy had a HR of 1.32 (p = 0.026) for death in stage I patients, adjusted for other factors, while no association was found for stage II patients (HR=1.00, p = 0.99). 18F-FDG-PET/CT up to 6 months prior to lung cancer diagnosis had a HR of 0.84 (p = 0.003) for death adjusted for other factors. 3-year costs of care for these patients were $79,540 versus $54,520 in those without a synchronous malignancy (p<0.001). CONCLUSION: Extrapulmonary malignancies in stage I lung cancer patients may negatively impact survival with no such association for stage II patients. 18F-FDG-PET/CT performed before lung cancer diagnosis is associated with better survival. Cost of care is higher in patients with synchronous malignancies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it