Evidence mapPaperPMID 41584313Full record

ArticleClinical Medicine Insights. Oncology2026

Bevacizumab Plus EGFR-TKIs vs EGFR-TKIs Alone for Advanced EGFR-Mutant NSCLC: A Meta-Analysis.

Zexian Wang, Yaru Guo, Xiaohan Qin, Zhiling Wan, Xiaojin Wu, Chen Liu

Abstract read
In one paragraph

Article in Clinical Medicine Insights. 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

6 authors.

Zexian WangDepartment of Radiation, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.ORCID https://orcid.org/0009-0002-5890-4275
Yaru GuoDepartment of Radiation, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.ORCID https://orcid.org/0000-0001-5335-0758
Xiaohan QinDepartment of Radiation, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.ORCID https://orcid.org/0009-0001-8896-4503
Zhiling WanDepartment of Radiation, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.ORCID https://orcid.org/0009-0008-7880-0012
Xiaojin WuDepartment of Radiation, Xuzhou Central Hospital, Xuzhou, China.ORCID https://orcid.org/0000-0001-5324-3557
Chen LiuDepartment of Radiation, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The goal of this comprehensive meta-analysis was to evaluate the efficacy and safety of combining Epidermal Growth Factor Receptor (EGFR)-tyrosine kinase inhibitors (TKIs) with bevacizumab vs EGFR-TKI monotherapy in advanced non-small-cell lung cancer (NSCLC) patients harboring EGFR-sensitizing mutations. Methods: From inception until October 2023, we retrieved eligible studies comparing EGFR-TKIs combined with bevacizumab to EGFR-TKI monotherapy for the treatment of NSCLC with EGFR-sensitizing mutations. These studies were obtained from databases including CNKI, Wanfang, CBM, VIP, PubMed, Embase, Cochrane Library, and Web of Science. The International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY) registration number is 2023120059. Results: This meta-analysis of 14 randomized controlled trials demonstrated that the combination significantly improved key efficacy outcomes compared to monotherapy. Superior partial response (odds ratio [OR] = 1.33, Conclusions: The combination of bevacizumab and EGFR-TKIs provides substantial short-to-medium-term survival benefits with an acceptable safety profile for patients with advanced EGFR-mutant NSCLC. These findings support its use as a valuable first-line treatment option for this population.

Indexed as

bevacizumabEGFRNSCLCtyrosine kinase inhibitor

Identifiers

PMID41584313
PMCPMC12824130

What Socratic holds

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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.