Evidence map›Paper›PMID 40361503›Full record

ArticleCancers2025

Patterns of Comorbidities in Lung Cancer Patients and Survival.

Alessandra Buja, Marcello Di Pumpo, Massimo Rugge, Manuel Zorzi, Federico Rea, Ilaria Pantaleo, Giovanna Scroccaro, Pierfranco Conte, Leonardo Rigon, Giorgio Arcara and 3 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Quality of life during electronic patient-reported outcome (ePRO) monitoring in thoracic surgery patients: a pilot randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Trial
  2. Observational
  3. Article
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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

13 authors.

Alessandra BujaDepartment of Cardiologic, Vascular and Thoracic Sciences, and Public Health, University of Padova, 35128 Padova, Italy.ORCID 0000-0003-2216-3807
Marcello Di PumpoDepartment of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0003-3037-0726
Massimo RuggeDepartment of Medicine DIMED-Pathology Unit University of Padova, 35100 Padova, Italy.
Manuel ZorziVeneto Tumor Registry (RTV), Azienda Zero, Passaggio Luigi Gaudenzio, Padova 1, 35131 Padova, Italy.ORCID 0000-0001-6025-5214
Federico ReaDepartment of Cardiologic, Vascular and Thoracic Sciences, and Public Health, University of Padova, 35128 Padova, Italy.
Ilaria PantaleoDepartment of Cardiologic, Vascular and Thoracic Sciences, and Public Health, University of Padova, 35128 Padova, Italy.ORCID 0009-0006-6425-8838
Giovanna ScroccaroCoordinamento Regionale per le Attività Oncologiche (CRAO), Regione Veneto, 30100 Venezia, Italy.
Pierfranco ConteIstituto di Ricovero e Cura a Carattere Scientifico, San Camillo Hospital, Via Alberoni, Lido, Venezia 70, 30126 Venice, Italy.ORCID 0000-0002-5210-5344
Leonardo RigonIstituto di Ricovero e Cura a Carattere Scientifico, San Camillo Hospital, Via Alberoni, Lido, Venezia 70, 30126 Venice, Italy.ORCID 0000-0002-1986-3389
Giorgio ArcaraIstituto di Ricovero e Cura a Carattere Scientifico, San Camillo Hospital, Via Alberoni, Lido, Venezia 70, 30126 Venice, Italy.ORCID 0000-0001-6270-6883
Giulia PaselloOncologia Medica 2, Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, 35121 Padova, Italy.
Valentina GuarneriOncologia Medica 2, Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, 35121 Padova, Italy.
Rete Oncologica Veneta and Periplo Foundation

Funding

Coordinamento Regionale per le Attività Oncologiche (CRAO); XXXFondazione Periplo YYY
6 · The paper itself

Abstract

introductionComorbidities affect diagnosis and treatments in cancer patients. This study explores the prevalence and patterns of comorbidities in non-small cell lung cancer (NSCLC) patients and their association with survival. MATERIALS AND

methodsThis retrospective population-based cohort study included 1674 incident NSCLC patients. Comorbidities were classified based on the ICD-9-CM system, with 13 disease categories analyzed. Patients with more than two comorbidities were classified into three mutually exclusive and exhaustive latent classes (Latent Class Analysis [LCA]). The optimal number of latent classes was determined by applying the Akaike Information Criterion. Cox regression models were run to assess overall and cancer-specific mortality, adjusting for the comorbidity groups, sex, age, and stage at diagnosis.

resultsIn 1674 NSCLC patients, the most prevalent medical conditions were respiratory (35.8%) and cardiovascular (33.5%). The Cox regression showed that even one comorbidity is associated with an increased hazard of overall mortality (HR = 1.33, 95%CI: 1.11-1.59,

conclusionsThe adverse impact of comorbidities on NSCLC-specific mortality requires their inclusion as risk factors in cancer treatment and prognosis.

Indexed as

comorbidityepidemiologylung cancerprognosissurvival

Identifiers

PMID40361503
PMCPMC12071664

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.