Evidence map›Paper›PMID 37868906›Full record

ArticleJournal of thoracic disease2023

Black race and lower age at surgery are associated with smoking relapse in a safety-net setting after surgery for stage I non-small cell lung cancer.

Aniket Vazirani, Adriana Rodriguez, Flaminio Pavesi, Shannon McDermott, Howard Cabral, Ehab Billatos, Kei Suzuki

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Aniket VaziraniDepartment of Surgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Adriana RodriguezDepartment of Clinical Research, Boston University, Boston, MA, USA.
Flaminio PavesiDepartment of Surgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Shannon McDermottDepartment of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Howard CabralDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Ehab BillatosDepartment of Pulmonary Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Kei SuzukiDepartment of Surgery, Thoracic Surgery, Inova, Fairfax, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smoking relapse after surgical resection for lung cancer (LC) remains a health concern. This study aims to determine various factors associated with postoperative smoking relapse in patients undergoing surgical resection for stage I non-small cell lung cancer (NSCLC) at an urban safety net hospital. Methods: We analyzed the demographic and clinical variables of all patients who underwent surgical resection for stage I NSCLC from 2002 to 2016 at our institution. Based on the post-operative smoking history, we segregated the cohort into two groups: relapse and abstinent. Chi-squared and analysis of variance tests were used to identify the variables that registered a significant difference between the two groups. Further, we used univariable and multivariable logistic regression to determine association between variables and smoking relapse. Results: We analyzed data from 168 patients, excluding those with inadequate smoking history and never smokers. In total, 64 (38.1%) patients experienced smoking relapse, and 104 (61.9%) remained abstinent. The age, annual income, and race showed significant differences between the two groups. Multivariable logistic regression reflected that black patients had higher odds of relapse than white patients [odds ratio (OR) =3.26, confidence interval (CI): 1.54-6.89, P=0.002] and the chances of relapse decreased as the age increased (5-year age gap, OR =0.70, CI: 0.58-0.85, P<0.001). Conclusions: Black race and younger age at the time of surgery are associated with smoking relapse after surgery for stage I NSCLC. Targeted smoking cessation programs catered towards these patient groups may help reduce the prevalence of post-operative smoking.

Indexed as

diverse patient populationNon-small cell lung cancer (NSCLC)smoking cessationsmoking relapsesocio-demographic factors affecting smoking relapse

Identifiers

PMID37868906
PMCPMC10586932

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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.