Evidence map›Paper›PMID 42661717›Full record

ArticleFrontiers in oncology2026

Efficacy and safety of immune checkpoint inhibitors combined with chemotherapy versus bevacizumab combined with chemotherapy in first-line treatment of driver gene-negative advanced non-squamous non-small cell lung cancer: a single-center retrospective study.

Wenqiang Mo, Yinzhen Li, Luna Zhao, Yuan Liu, Qi Shu, Jing Fei

Abstract read
In one paragraph

Article in Frontiers in 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.

Wenqiang Mo *The First Affiliated Hospital of Shihezi University, Shihezi, China.
Yinzhen Li *The First Affiliated Hospital of Shihezi University, Shihezi, China.
Luna Zhao *The First Affiliated Hospital of Shihezi University, Shihezi, China.
Yuan LiuThe First Affiliated Hospital of Shihezi University, Shihezi, China.
Qi ShuThe First Affiliated Hospital of Shihezi University, Shihezi, China.
Jing FeiThe First Affiliated Hospital of Shihezi University, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To compare the efficacy and safety of immune checkpoint inhibitors (ICIs) versus bevacizumab (both combined with chemotherapy) for first-line treatment of driver gene-negative advanced non-squamous non-small cell lung cancer (NSCLC). Methods: This single-center retrospective study enrolled 194 patients with driver gene-negative advanced non-squamous NSCLC treated at our hospital from May 1, 2019, to May 1, 2025: 79 received ICIs plus chemotherapy, and 115 received bevacizumab plus chemotherapy. Both groups received 4-6 cycles of combination therapy followed by maintenance therapy until disease progression or the end of the study. The primary endpoint was progression-free survival (PFS), and secondary endpoints included objective response rate (ORR), disease control rate (DCR), and adverse events (AEs). Results: Short-term efficacy: ORR was significantly higher in the ICIs plus chemotherapy group than in the bevacizumab plus chemotherapy group (41.77% vs 26.09%, Conclusions: For patients with driver gene-negative advanced non-squamous NSCLC, ICIs combined with chemotherapy are superior to bevacizumab combined with chemotherapy in terms of short-term efficacy and progression-free survival, with manageable but distinct adverse event profiles.

Indexed as

bevacizumabefficacyimmune checkpoint inhibitorsnon-squamous non-small cell lung cancersafety

Identifiers

PMID42661717
PMCPMC13518166

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.