Evidence map›Paper›PMID 40182124›Full record

ReviewCancer pathogenesis and therapy2025

A Bayesian network meta-analysis of EGFR-tyrosine kinase inhibitor treatments in patients with

Jianqiong Yin, Jing Huang, Min Ren, Rui Tang, Linshen Xie, Jianxin Xue

Abstract readReview
In one paragraph

Review in Cancer pathogenesis and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Risk factors for short-term survival inTranslational cancer research · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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.

Jianqiong YinDepartment of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Jing HuangDepartment of Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China.
Min RenAbdominal Oncology Ward, Division of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Rui TangDepartment of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Linshen XieWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Jianxin XueDepartment of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To date, no direct comparisons have been performed to compare the effectiveness of all epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) against Methods: We conducted a network meta-analysis of randomized controlled trials comparing osimertinib, lazertinib, aumolertinib, befotertinib, furmonertinib, dacomitinib, afatinib, erlotinib, gefitinib, icotinib, and chemotherapy. Pooled estimations of progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and toxicity (grade ≥ 3 adverse events) were performed within the Bayesian framework. Results: Twenty-three trials involving 11 treatments were included. All EGFR-TKIs improved PFS relative to chemotherapy, except for icotinib (hazard ratio [HR] = 0.61, 95% confidence interval [CI]: 0.26-1.44). All EGFR-TKIs demonstrated significant ORR benefits over chemotherapy. Osimertinib seemed to prolong PFS compared with icotinib (HR = 0.29, 95% CI: 0.1-0.86), gefitinib (HR = 0.39, 95% CI: 0.21-0.74), and erlotinib (HR = 0.53, 95% CI: 0.29-1.0). In addition, osimertinib showed favorable superiority in improving OS compared with chemotherapy (HR = 0.6, 95% CI: 0.43-0.82), gefitinib (HR = 0.61, 95% CI: 0.45-0.83), erlotinib (HR = 0.65, 95% CI: 0.48-0.89), and afatinib (HR = 0.65, 95% CI: 0.44-0.94). Among these regimens, afatinib showed the highest ORR (cumulative probability: 96.96%). Icotinib was associated with minimal toxicity among the EGFR-TKIs, followed by furmonertinib and osimertinib. Moreover, the toxicity spectra differed among the EGFR-TKIs. Subgroup analyses of patients with two common types of Conclusions: Osimertinib is the first choice of treatment with considerable efficacy and safety for

Indexed as

EGFR-TKINetwork meta-analysisNon-small cell lung cancerSurvivalToxicity

Identifiers

PMID40182124
PMCPMC11963207

What OpenQuestion 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 OpenQuestion graph.