Evidence map›Paper›PMID 41680673›Full record

ArticleBMC cancer2026

Pretreatment clinical and hematological predictors of efficacy and immune-related adverse events in patients with advanced non-small cell lung cancer receiving first-line chemotherapy combined with immune checkpoint inhibitors.

Shun Matsuura, Kensuke Kita, Kyohei Matsushita, Takumi Nagasaki, Ryo Suzuki, Yuya Yamamoto, Kotaro Yamada, Ryuuichi Nakamura, Norimichi Akiyama, Kazuki Tanaka and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 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. Review
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

11 authors.

Shun MatsuuraDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan. s_shun_shun@yahoo.co.jp.
Kensuke KitaDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Kyohei MatsushitaDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Takumi NagasakiDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Ryo SuzukiDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Yuya YamamotoDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Kotaro YamadaDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Ryuuichi NakamuraDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Norimichi AkiyamaDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Kazuki TanakaDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.
Naoki KoshimizuDivision of Respiratory Internal Medicine, Fujieda Municipal General Hospital, 4-1-11, Surugadai, Fujieda, Shizuoka, 426-8677, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combination of immune checkpoint inhibitors (ICI) and platinum-based chemotherapy has rapidly become the standard first-line treatment for advanced or metastatic non-small cell lung cancer (NSCLC). However, identifying reliable predictive factors of treatment response remains a significant clinical challenge. This study comprehensively analyzed pretreatment predictive factors in patients with advanced lung cancer who received first-line ICI–chemotherapy combination therapy.

methodsWe retrospectively analyzed clinical data from 100 patients with advanced NSCLC who received first-line ICI–chemotherapy. Univariate and multivariate Cox proportional hazards regression analyses were used to identify prognostic factors for progression-free survival (PFS) and overall survival (OS). Univariate logistic regression analysis was used to identify factors affecting the incidence of immune-related adverse events (irAEs).

resultsMultivariate analysis for PFS identified Eastern Cooperative Oncology Group performance status (ECOG-PS), number of metastases, lactate dehydrogenase level, cytokeratin 19 fragment antigen level, and programmed death-ligand 1 expression as independent predictors of PFS. Multivariate analysis for OS identified ECOG-PS, number of metastases, and neutrophil-to-lymphocyte ratio as significant independent predictors of OS. Patients with liver metastases showed a significantly lower incidence of irAEs than patients without liver metastases (8.3% vs. 29.7%, P = 0.013). The occurrence of irAEs was associated with longer PFS and OS.

conclusionThis study identified pretreatment clinical and hematological factors that could predict the efficacy of ICI–chemotherapy. Furthermore, the absence of liver metastases was associated with a higher incidence of irAEs. These results underscore the critical need for individualized treatments and potential adjustment of strategies for high-risk groups to achieve a long-term durable response and better survival.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesTreatment OutcomeImmune Checkpoint InhibitorsAdvanced non-small cell lung carcinomaECOG-PSImmune-related adverse eventsNumber of metastases

Identifiers

PMID41680673
PMCPMC13014870

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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.