Evidence map›Paper›PMID 37402836›Full record

ArticleWorld journal of surgery2023

Impact of Environmental Exposures on Lung Cancer in Patients Who Never Smoked.

Rahul Chandwani, Cole Brokamp, Hai Salfity, Sandra L Starnes, Robert M Van Haren

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Article in World journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rahul ChandwaniDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati College of Medicine, 231 Albert Sabin Way ML-0558, Cincinnati, OH, 45267-0558, USA.
Cole BrokampDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Hai SalfityDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati College of Medicine, 231 Albert Sabin Way ML-0558, Cincinnati, OH, 45267-0558, USA.
Sandra L StarnesDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati College of Medicine, 231 Albert Sabin Way ML-0558, Cincinnati, OH, 45267-0558, USA.
Robert M Van HarenDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati College of Medicine, 231 Albert Sabin Way ML-0558, Cincinnati, OH, 45267-0558, USA. vanharrm@ucmail.uc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the rising incidence of lung cancer in patients who never smoked, environmental risk factors such as ambient air pollution in this group are poorly described. Our objective was to identify the relationship of environmental exposures with lung cancer in patients who never smoked.

methodsA prospectively collected database was reviewed for all patients with non-small cell lung carcinoma (NSCLC) who underwent resection from 2006 to 2021. Environmental exposures were estimated using the geocoded home address of patients. Logistic regression was used to determine the association of clinical and environmental variables with smoking status. Kaplan-Meier and Cox proportional hazards analyses were used to assess survival.

resultsA total of 665 patients underwent resection for NSCLC, of which 67 (10.1%) were patients who never smoked and 598 (89.9%) were current/former smokers. Patients who never smoked were more likely of white race (p = 0.001) and had well-differentiated tumors with carcinoid or adenocarcinoma histology (p < 0.001). Environmental exposures were similar between groups, but patients who never smoked had less community material deprivation (p = 0.002) measured by household income, education, health insurance, and vacancies. They had improved overall survival (p = 0.012) but equivalent cancer recurrence (p = 0.818) as those who smoked. In univariable Cox analyses, fine particulate matter (HR: 1.447 [95% CI 1.197-1.750], p < 0.001), distance to nearest major roadway (HR: 1.067 [1.024-1.111], p = 0.002), and greenspace (HR: 0.253 [0.087-0.737], p = 0.012) were associated with overall survival in patients who never smoked.

conclusionsLung cancer patients who never smoked have unique clinical and pathologic characteristics, including higher socioeconomic status. Interventions to reduce environmental exposures may improve lung cancer survival in this population.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsEnvironmental ExposureHumansNeoplasm Recurrence, LocalSmokeSmokingSmoke

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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.