Evidence map›Paper›PMID 41501563›Full record

ArticleDiscover oncology2026

Efficacy and safety of Osimertinib and other third-generation EGFR TKIs in advanced NSCLC: a systematic review and meta-analysis.

Juan Lin, Chunxia Zhang, Jinshan Weng, Shanzuan Wang

Abstract read
In one paragraph

Article in Discover oncology, 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
–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

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

4 authors.

Juan LinRespiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China.
Chunxia ZhangRespiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China.
Jinshan WengRespiratory and Critical Care Medicine, The Affiliated Hospital of Putian University, 999 Dongzhen East Road, Licheng District, Putian, 351100, China.
Shanzuan WangDepartments of Clinical Medicine, Fujian Medical University, Fuzhou, P.R. China. 94461393@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically evaluate the clinical efficacy, safety, and prognostic impact of third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs), particularly osimertinib, in patients with advanced non-small cell lung cancer (NSCLC).

methodA comprehensive search of international and Chinese databases was conducted from inception to April 2025 to identify randomized controlled trials (RCTs) assessing osimertinib in advanced NSCLC. Data extraction and quality assessment were performed independently by two reviewers using the Cochrane Handbook (version 5.3). Meta-analysis was conducted using RevMan 5.4.

resultNine RCTs involving 1,880 patients were included. Osimertinib significantly improved objective response rate (ORR) [OR = 2.99, 95% CI: 1.87–4.77] and disease control rate (DCR) [OR = 2.80, 95% CI: 1.38–5.67] compared to control therapies. The incidence of grade ≥ 3 adverse events was significantly lower in the osimertinib group [OR = 0.26, 95% CI: 0.14–0.47]. Osimertinib increased the risk of dermatologic events such as paronychia and rash but decreased gastrointestinal symptoms including nausea and vomiting.

conclusionOsimertinib is an effective and generally well-tolerated treatment option for patients with advanced NSCLC. While efficacy and safety are favorable, further research is needed to assess long-term outcomes and monitor serious adverse events.

Indexed as

Clinical efficacyEpidermal growth factor receptor inhibitorNon-small cell lung cancerOsimertinibSafety analysis

Identifiers

PMID41501563
PMCPMC12873059

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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.