Evidence mapPaperPMID 40792148Full record

ReviewTranslational cancer research2025

Impact of smoking on the effectiveness of different non-small-cell lung cancer therapies.

Kairui Yang

Abstract readReview
In one paragraph

Review in Translational cancer research, 2025. 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. Review
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

1 author.

Kairui YangThe Stony Brook School, Stony Brook, NY, USA.ORCID https://orcid.org/0009-0007-4069-5977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Smoking reshapes tumor genetics, host immunity, and drug metabolism in non-small-cell lung cancer (NSCLC), yet its therapy-specific impact is often overlooked. This review sought to clarify how current, former, and never smokers respond to each major NSCLC modality and to outline opportunities for treatment optimization. Methods: A systematic search of PubMed, Web of Science, and Google Scholar up to April 2025 identified 146 high-quality trials, cohorts, and meta-analyses that reported outcomes by smoking status. Hazard ratios, response rates, and complication data, and random-effects meta-analyses were performed. Key Content and Findings: Immune-checkpoint inhibitors improved overall survival across all smoking groups (pooled HR_OS =0.74), although active smokers exhibited shorter response durability because of faster drug clearance and persistent immune dysfunction despite higher tumor-mutational burden and programmed death-ligand 1 (PD-L1) expression. Never-smokers achieved markedly better progression-free survival with EGFR tyrosine-kinase inhibitors [hazard ratio (HR) 0.32 Conclusions: Smoking status is a potent, modifiable determinant of NSCLC outcomes. Embedding structured cessation programs, tailoring dose or schedule, and incorporating smoking-informed molecular profiling into routine care could heighten efficacy and reduce toxicity. Future trials should stratify participants by detailed tobacco history to advance truly personalized, behavior-integrated oncology.

Indexed as

Chemotherapylung cancerradiotherapysmokingsurgery

Identifiers

PMID40792148
PMCPMC12335674

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.