Evidence map›Paper›PMID 39356915›Full record

ArticleJornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia2024

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

Paula Duarte D'Ambrosio, Ricardo Mingarini Terra, Alessandro Brunelli, Leticia Leone Lauricella, Carolina Adan Cavadas, Jaqueline Schaparini Fonini, Jefferson Luiz Gross, Federico Enrique Garcia Cipriano, Fabio May da Silva, Paulo Manuel Pêgo-Fernandes

Abstract readValidation Study
In one paragraph

Article in Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Paula Duarte D'Ambrosio. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0002-9901-3973
Ricardo Mingarini Terra. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0001-8577-8708
Alessandro Brunelli. Department of Thoracic Surgery, St. James's University Hospital, Leeds, United Kingdom.ORCID http://orcid.org/0000-0002-6505-1656
Leticia Leone Lauricella. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0002-8378-7704
Carolina Adan Cavadas. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0003-3391-9622
Jaqueline Schaparini Fonini. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0002-1497-491X
Jefferson Luiz Gross. Centro de Referência Pulmão e Tórax, AC Camargo Cancer Center, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0001-5124-2235
Federico Enrique Garcia Cipriano. Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto (SP) Brasil.ORCID http://orcid.org/0000-0002-6356-2516
Fabio May da Silva. Departamento de Cirurgia, Universidade Federal de Santa Catarina, Florianópolis (SC) Brasil.ORCID http://orcid.org/0000-0002-8496-0900
Paulo Manuel Pêgo-Fernandes. Instituto do Câncer do Estado de São Paulo - ICESP - Hospital das Clínicas de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0001-7243-5343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsThe 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.

resultsThe 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.

conclusionsDiscrepancies 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.

Indexed as

Lung NeoplasmsRegistriesAgedBrazilCalibrationFemaleHumansMaleMiddle AgedReproducibility of ResultsRisk AssessmentRisk Factors

Identifiers

PMID39356915
PMCPMC11449598

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.