Evidence map›Paper›PMID 42529281›Full record

SynthesisFrontiers in immunology2026

Efficacy of first-line treatment in driver gene-negative non-small cell lung cancer with liver metastases: a Bayesian network meta-analysis.

Weiqian Wu, Xiaoyu Guo, Xueqi Dong, Hongyuan Liang, Lingyun Zhang

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Weiqian WuOncology Department, The First Hospital of China Medical University, Shenyang, China.
Xiaoyu GuoOncology Department, The First Hospital of China Medical University, Shenyang, China.
Xueqi DongOncology Department, The First Hospital of China Medical University, Shenyang, China.
Hongyuan LiangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Lingyun ZhangOncology Department, The First Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the first-line treatment patterns and prognostic factors associated with survival in patients with driver gene-negative non-small cell lung cancer (NSCLC) and liver metastases, in order to identify the optimal treatment strategy. Methods: A Bayesian network meta-analysis was performed using R software (version 4.2.3) and RevMan (version 5.4) to systematically compare the efficacy of various first-line treatment regimens, including chemotherapy, immunotherapy, and combination therapy, in patients with driver gene-negative NSCLC with liver metastases. Results: A total of 20 randomized controlled trials were included. Among patients with driver gene-negative NSCLC and liver metastases: (1) PD-1 inhibitor plus chemotherapy significantly improved progression-free survival (PFS) (HR = 0.572, 95% CI: 0.435-0.754) and overall survival (OS) (HR = 0.681, 95% CI: 0.559-0.830) compared with chemotherapy alone. (2) In the patients with non-squamous NSCLC, PD-1/PD-L1 inhibitor plus chemotherapy resulted in a greater PFS benefit than chemotherapy alone. (3) A similar PFS advantage was observed in patients with squamous NSCLC receiving PD-1 inhibitor plus chemotherapy versus chemotherapy alone (HR = 0.583, 95% CI: 0.386-0.882). (4) Camrelizumab plus chemotherapy (CAM+CT) ranked highest in the network meta-analysis, with the top SUCRA values for both PFS (84.18%) and OS (96.38%). Conclusion: In treatment-naive driver gene-negative NSCLC with liver metastases: PD-1 inhibitor plus chemotherapy conferred more significant PFS and OS benefits than chemotherapy alone. CAM+CT appeared to rank favorably among the evaluated regimens, particularly in patients with squamous NSCLC and liver metastases, suggesting it may represent a candidate treatment strategy. However, given that these findings were derived from a network meta-analysis based on indirect comparisons, they should be interpreted with caution. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42025632364, identifier CRD42025632364.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungLiver NeoplasmsLung NeoplasmsBayes TheoremHumansImmune Checkpoint InhibitorsRandomized Controlled Trials as TopicTreatment OutcomeImmune Checkpoint Inhibitorsfirst-line therapyimmune checkpoint inhibitorsliver metastasesnetwork meta-analysisnon-small cell lung cancer

Identifiers

PMID42529281
PMCPMC13416637

What OpenQuestion holds

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Registered trials

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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.