Is the Parsimonious Eurolung risk model a good predictor for all populations? An external validation study

External validation was partially achieved. The Parsimonious Eurolung 1 score is moderately applicable for morbidity. The Parsimonious Eurolung 2 score is not validated for 30-day mortality in this cohort. It should not guide surgical eligibility, and this point can be generalized to other low-mortality settings. This study provides valuable insights into the performance of the Parsimonious Eurolung models in a specific national context while highlighting the ongoing challenges in risk prediction for thoracic surgery. The findings suggest a need for quality multicentric databases and more granular, population-specific risk models, potentially incorporating machine learning approaches.

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Publication Details

Journal
Journal of Cardiothoracic Surgery
Published
2025-12-05
DOI
https://doi.org/10.1186/s13019-025-03661-x
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Is the Parsimonious Eurolung risk model a good predictor for all populations? An external validation study

Lúcio Lara Santos, Ana Margarida Silva, Filipe Leite, Gonçalo Paupério
Journal of Cardiothoracic Surgery
Lung Cancer Diagnosis and Treatment
article

Is the Parsimonious Eurolung risk model a good predictor for all populations? An external validation study

Lúcio Lara Santos, Ana Margarida Silva, Filipe Leite, Gonçalo Paupério
article en

Abstract

External validation was partially achieved. The Parsimonious Eurolung 1 score is moderately applicable for morbidity. The Parsimonious Eurolung 2 score is not validated for 30-day mortality in this cohort. It should not guide surgical eligibility, and this point can be generalized to other low-mortality settings. This study provides valuable insights into the performance of the Parsimonious Eurolung models in a specific national context while highlighting the ongoing challenges in risk prediction for thoracic surgery. The findings suggest a need for quality multicentric databases and more granular, population-specific risk models, potentially incorporating machine learning approaches.

Journal of Cardiothoracic SurgeryVol. 21(1)
University of Beira Interior (PT), Universidade do Porto (PT), Instituto Português de Oncologia Francisco Gentil (PT)
Openalex Percentile: Top 43%
Lung Cancer Diagnosis and Treatment
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Is the Parsimonious Eurolung risk model a good predictor for all populations? An external validation study — Lúcio Lara Santos, Ana Margarida Silva, et al. · Journal of Cardiothoracic Surgery (2025) | TGRS Research Map | TGRS