Evidence map›Paper›PMID 42109065›Full record

ArticleClinical and translational science2026

Impact of EGFR Mutations on Survival and Clinical Response in Non-Small Cell Lung Cancer in a Tertiary Care Hospital.

Gayathri Baburaj, Ananth Pai, Varun Kumar Sudha Gururaj, Satyanarayana Poojari, Mahadev Rao, Karthik S Udupa

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Gayathri BaburajDepartment of Pharmacy Practice, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, India.ORCID 0009-0004-7277-378X
Ananth PaiDepartment of Medical Oncology, Kasturba Medical College & Hospital, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID 0000-0002-3520-4420
Varun Kumar Sudha GururajDepartment of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID 0000-0003-0255-726X
Satyanarayana PoojariDepartment of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID 0000-0001-7174-7388
Mahadev RaoDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID 0000-0003-3322-5399
Karthik S UdupaDepartment of Medical Oncology, Kasturba Medical College & Hospital, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID 0000-0002-4906-3972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer continues to be the leading cause of morbidity and mortality associated with malignancies. Identifying prognostic factors is vital for improving survival outcomes. This study assessed the impact of clinical, demographic, and genetic factors on overall survival (OS) and progression-free survival (PFS) in patients with non-small cell lung cancer (NSCLC). A prospective cohort of 70 NSCLC patients was analyzed. Demographic and clinical data, including epidermal growth factor receptor (EGFR) mutation status and clinical response by RECIST 1.1 criteria, were assessed. Survival outcomes were estimated using the Kaplan-Meier method with log-rank test. The median PFS and OS were 15 and 24 months, respectively. EGFR-positive patients showed significantly longer survival than EGFR-negative patients (PFS: 17 vs. 11 months, OS: not reached [NA] vs. 24 months). Brain metastases indicated poor OS (OS: 15 months vs. NA) but did not affect PFS. Patients with a partial response after one year exhibited improved overall survival (24-month OS probability of 77.8%). EGFR mutation status, brain metastases, and clinical response are key predictors of survival in NSCLC patients. Integrating genetic screening, timely management of brain metastases, and early assessment may enhance personalized treatment and improve prognosis.

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungLung NeoplasmsMutationAdultAgedAged, 80 and overErbB ReceptorsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProgression-Free SurvivalProspective StudiesEGFR protein, humanErbB Receptorslung canceroverall survivalprogression‐free survivaltreatment response

Identifiers

PMID42109065
PMCPMC13158695

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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.