External validation of the parsimonious EuroLung risk models: analysis of the Brazilian Lung Cancer Registry

The purpose of this study was to assess performance in the Brazilian Lung Cancer Registry Database by using the parsimonious EuroLung risk models for morbidity and mortality. The EuroLung1 and EuroLung2 models were tested and evaluated through calibration (calibration plot, Brier score, and the Hosm...

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Veröffentlicht in:Jornal brasileiro de pneumologia 2024, Vol.50 (4), p.e20240226
Hauptverfasser: D'Ambrosio, Paula Duarte, Terra, Ricardo Mingarini, Brunelli, Alessandro, Lauricella, Leticia Leone, Cavadas, Carolina Adan, Fonini, Jaqueline Schaparini, Gross, Jefferson Luiz, Cipriano, Federico Enrique Garcia, Silva, Fabio May da, Pêgo-Fernandes, Paulo Manuel
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Sprache:eng
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Zusammenfassung:The purpose of this study was to assess performance in the Brazilian Lung Cancer Registry Database by using the parsimonious EuroLung risk models for morbidity and mortality. The EuroLung1 and EuroLung2 models were tested and evaluated through calibration (calibration plot, Brier score, and the Hosmer-Lemeshow test) and discrimination (ROC AUCs), in a national multicenter registry of 1,031 patients undergoing anatomic lung resection. The evaluation of performance in Brazilian health care facilities utilizing risk-adjustment models, specifically EuroLung1 and EuroLung2, revealed substantial miscalibration, as evidenced by calibration plots and Hosmer-Lemeshow tests in both models. In terms of calibration, EuroLung1 exhibited a calibration plot with overlapping points, characterized by a slope of 1.11 and a Brier score of 0.15; the Hosmer-Lemeshow test yielded a statistically significant p-value of 0.015; and the corresponding ROC AUC was 0.678 (95% CI: 0.636-0.721). The EuroLung2 model displayed better calibration, featuring fewer overlapping points in the calibration plot, with a slope of 1.22, with acceptable discrimination, as indicated by a ROC AUC of 0.756 (95% CI: 0.670-0.842). Both models failed to accurately predict morbidity and mortality outcomes in this specific health care context. Discrepancies between the EuroLung model predictions and outcomes in Brazil underscore the need for model refinement and for a probe into inefficiencies in the Brazilian health care system.
ISSN:1806-3756
1806-3713
1806-3756
DOI:10.36416/1806-3756/e20240226