Key result
Curative resection for lung cancer in elderly patients had an overall 30-day perioperative mortality of 4.6% (95% CI, 4.2-4.9%); a prediction model stratified observed mortality from 1.2% to >10%.
Why the study?
Can a clinical model accurately predict 30-day perioperative mortality in elderly patients undergoing curative resection for non-small cell lung cancer?
Population
14,297 patients aged 65 years and older with stage I, II, or IIIA non-small cell lung cancer from the…
Design
Cohort
Follow-up
30-day
Authors
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Prediction model stratifies perioperative mortality after elderly lung cancer resection; leaves open prospective validation before informing decisions.
Cohort (n=14,297)
Yes
Can a clinical model accurately predict 30-day perioperative mortality in elderly patients undergoing curative resection for non-small cell lung cancer?
A clinical prediction model can effectively stratify the risk of 30-day perioperative mortality in elderly patients undergoing lung cancer resection, which may aid in treatment decision-making.
Kates et al. (2008) conducted a cohort in Non-small cell lung cancer (NSCLC) (n=14,297). Curative resection for lung cancer was evaluated on 30-day perioperative mortality (POM) (95% CI 4.2-4.9). Curative resection for lung cancer in elderly patients had an overall 30-day perioperative mortality of 4.6% (95% CI, 4.2-4.9%); a prediction model stratified observed mortality from 1.2% to >10%.
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