Evidence map›Paper›PMID 42571038›Full record

ArticleAnnals of Saudi medicine

Clinical characteristics of lung cancer in never-smokers: a multicenter Saudi cohort.

Mohammed Ternati, Abdulmajeed Qashqari, Ihab Alshelli, Sarah Alrasheed, Liju Ahmed, Ala Eddin S Sagar

Abstract readMulticenter Study
In one paragraph

Article in Annals of Saudi medicine. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mohammed TernatiFrom the Department of Medicine, King Faisal Specialist Hospital & Research Centre, Madinah, Saudi Arabia.
Abdulmajeed QashqariFrom the Department of Medicine, King Faisal Specialist Hospital & Research Centre, Madinah, Saudi Arabia.
Ihab AlshelliFrom the Department of Medicine, King Faisal Specialist Hospital & Research Centre, Madinah, Saudi Arabia.
Sarah AlrasheedFrom the Department of Medicine, King Faisal Specialist Hospital & Research Centre, Madinah, Saudi Arabia.
Liju AhmedFrom the Department of Medicine, King Faisal Specialist Hospital & Research Centre, Madinah, Saudi Arabia.
Ala Eddin S SagarFrom the Department of Medicine, King Faisal Specialist Hospital & Research Centre, Madinah, Saudi Arabia.ORCID 0000-0002-1492-8139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer in never-smokers represents a distinct clinical and biologic entity. However, its epidemiologic characteristics remain incompletely described in the Middle East.

objectivesTo characterize lung cancer in never-smokers and compare it with ever-smokers in a multicenter Saudi cohort.

designRetrospective multicenter cohort study.

settingThree tertiary-care centers of King Faisal Specialist Hospital & Research Centre system in Saudi Arabia. PATIENTS AND

methodsAdults with histologically confirmed primary lung cancer diagnosed between January 2020 and December 2024 were classified as never- or ever-smokers. Carcinoid tumors were excluded from the comparative analysis. Demographic, histologic, stage, and molecular characteristics were compared. Multivariable logistic regression identified factors independently associated with never-smoker status.

main outcome measuresClinical, histologic, stage, and molecular differences between never-smokers and ever-smokers expressed as crude and adjusted odds ratios (95% confidence interval). SAMPLE SIZE: 301 patients reviewed; 253 in the primary analytic cohort (92 never-smokers, 161 ever-smokers).

resultsAmong 280 patients with available smoking history, 253 were included after excluding 27 carcinoid tumors (92 never-smokers [36%] and 161 ever-smokers [63.6%]). Never-smokers were mostly females (64/92 (70%) vs 12/161 (7.5%);

conclusionIn this multi-center Saudi cohort, more than one-third of lung cancers occurred in never-smokers, characterized by female predominance, adenocarcinoma histology, and frequent EGFR and ALK alterations. These findings support comprehensive molecular testing regardless of smoking history and underscore the need for strategies to improve early recognition of lung cancer in never-smokers. LIMITATIONS: Retrospective design, incomplete molecular testing, tertiary-referral setting, and potential misclassification of smoking exposure, including unrecorded waterpipe and electronic-cigarette use.

Indexed as

Lung NeoplasmsNon-SmokersSmokersSmokingAdultAgedAnaplastic Lymphoma KinaseCohort StudiesErbB ReceptorsFemaleHumansLogistic ModelsMaleMiddle AgedMutationNeoplasm StagingALK protein, humanAnaplastic Lymphoma KinaseEGFR protein, humanErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins p21(ras)AdenocarcinomaALKEGFRLung cancerNever-smokers

Identifiers

PMID42571038
PMCPMC13452898

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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.