Evidence map›Paper›PMID 42602055›Full record

SynthesisFrontiers in immunology2026

Treatment prioritization of chemotherapy-anchored regimens after EGFR-TKI failure in EGFR-mutant NSCLC: a systematic review, pairwise meta-analysis and Bayesian network meta-analysis with probabilistic multi-criteria decision analysis.

Yaoyao Jing, Donghui Xing, Ao Jia, Shanshan Xu, Yixin Zhai, Xiaofang Wang, Bing Ang, Zhigang Zhao

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 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

8 authors.

Yaoyao Jing *Department of Day ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Donghui Xing *Frontiers Science Center for Cell Responses, State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials, Ministry of Education, and College of Life Sciences, Nankai University, Tianjin, China.
Ao JiaDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Shanshan XuDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Yixin ZhaiDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Xiaofang WangDepartment of Hematology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Bing AngDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Zhigang ZhaoDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In advanced EGFR-mutant non-small cell lung cancer (NSCLC) after EGFR-TKI failure, chemotherapy alone offers limited benefit, while heterogeneous efficacy and safety across combination regimens complicate treatment selection. We systematically compared chemotherapy-anchored regimens in this setting to establish an evidence-informed treatment prioritization framework. Methods: Following PRISMA 2020 guidelines, we searched PubMed, Embase, Cochrane Library, and oncology conference for randomized controlled trials evaluating patients with advanced EGFR-mutant NSCLC progressing after EGFR-TKI therapy, comparing experimental regimens (with or without chemotherapy) against platinum-based doublet chemotherapy (chemotherapy-anchored, chemo-anchored) for efficacy and safety outcomes. Primary outcomes were progression-free survival (PFS) and overall survival (OS), analyzed using hazard ratios (HRs). Fixed-effects pairwise meta-analyses and Bayesian random-effects network meta-analyses were performed to evaluate 8 treatment strategies: chemotherapy alone (Chemo, platinum-based doublet chemotherapy); chemotherapy plus immune checkpoint inhibitors (Chemo_ICI); chemotherapy plus anti-angiogenic therapy (Chemo_Antiangio); chemotherapy plus immune checkpoint inhibitors and anti-angiogenic therapy (Chemo_ICI_Antiangio); chemotherapy plus ivonescimab (Chemo_Ivo); sacTMT (sacituzumab tirumotecan); chemotherapy plus amivantamab (Chemo_Ami); and chemotherapy plus amivantamab and lazertinib (Chemo_Ami_Laz). Probabilistic multi-criteria decision analysis (pMCDA) integrated multi-criteria outcomes under three clinically informed weighting schemes (survival-focused, balanced, and safety-focused). All analyses were conducted using R software. Results: Eleven RCTs (n=3,606) were analyzed. In pairwise analyses versus Chemo, pooled results showed significant PFS benefit for Chemo_Ivo (HR 0.50, 95% CI 0.41-0.60), Chemo_ICI_Antiangio (HR 0.55, 95% CI 0.45-0.68), and Chemo_ICI (HR 0.77, 95% CI 0.67-0.88), while Chemo_Ivo also improved OS (HR 0.76, 95% CI 0.64-0.91). Under random-effects models, HR point estimates remained identical; significance was maintained in overall analyses but lost in several subgroups as confidence intervals encompassed 1. In network meta-analysis, Chemo_Ami_Laz (HR 0.44, 95% CrI 0.32-0.61), Chemo_Ami (HR 0.48, 95% CrI 0.33-0.70), sac-TMT (HR 0.49, 95% CrI 0.35-0.68), and Chemo_Ivo (HR 0.49, 95% CrI 0.38-0.64) showed the greatest PFS benefit versus Chemo. For OS, only sac-TMT (HR 0.60, 95% CrI 0.41-0.90) and Chemo_Ivo (HR 0.76, 95% CrI 0.60-0.98) were associated with a significant survival advantage. Chemo_Ami_Laz (OR 12.06, 95% CrI 3.64-53.50) and Chemo_Ami (OR 3.71, 95% CrI 1.12-12.19) were associated with a higher risk of grade ≥3 TRAEs. In pMCDA integrating efficacy and safety, sac-TMT, Chemo_Ami, and Chemo_Ivo consistently ranked as the top three strategies across all weighting schemes. Conclusion: Integrating efficacy and safety, sac-TMT, Chemo_Ami, and Chemo_Ivo appear to be the most favorable treatment options after EGFR-TKI failure in EGFR-mutant NSCLC. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD420251268510.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungLung NeoplasmsMutationProtein Kinase InhibitorsBayes TheoremDecision Support TechniquesErbB ReceptorsHumansTreatment OutcomeEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsEGFR-mutant NSCLCEGFR-TKI resistancemeta-analysisnetwork meta-analysispMCDA

Identifiers

PMID42602055
PMCPMC13473156

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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.