Evidence map›Paper›PMID 41132969›Full record

ArticleTranslational lung cancer research2025

Efficacy and safety of perioperative, adjuvant and neoadjuvant chemoimmunotherapy stratified by clinical stage and PD-L1 expression in resectable non-small cell lung cancer: a systematic review and network meta-analysis.

Yuanyuan Wang, Lin Zhang, Xinyuan Zhao, Dongchen Sun, Huaqiang Zhou, Yaxiong Zhang, Gang Chen, Tingting Liu, Jiaqing Liu, Yuanyuan Zhao and 4 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Yuanyuan Wang *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Lin Zhang *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinyuan Zhao *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Dongchen Sun *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Huaqiang Zhou *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yaxiong ZhangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Gang ChenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Tingting LiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jiaqing LiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuanyuan ZhaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yan HuangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wenfeng FangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Li ZhangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yunpeng YangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perioperative, adjuvant, and neoadjuvant chemoimmunotherapy have all demonstrated significant clinical benefit in resectable non-small cell lung cancer (NSCLC). To better inform personalized treatment decision-making, we conducted a systematic review and network meta-analysis to compare the efficacy and safety of these three chemoimmunotherapy strategies, according to different disease stage (IB-II Methods: A systematic literature search was conducted through PubMed, Embase, ClinicalTrials.gov, and the Cochrane Central Register of Controlled Trials up to April 1, 2025. Relevant conference proceedings were also included. Randomized controlled trials (RCTs) comparing two or more treatment options for patients with resectable NSCLC were included. Eligible trials were selected by two researchers independently according to predefined criteria. The Cochrane Collaboration's tool was used to evaluate the risk of bias. Data were extracted following PRISMA guidelines, either a fixed-effect or random-effect model was applied depending on heterogeneity. The primary outcome was event-free survival (EFS). Secondary outcomes included overall survival (OS) and the incidence of grade ≥3 treatment-related adverse events (TRAEs). Subgroup analyses were performed by disease stage, PD-L1 expression and Eastern Cooperative Oncology Group (ECOG) performance status (PS). Results: Twenty-one RCTs involving 12,258 patients with resectable NSCLC were included in this network meta-analysis. The outcomes were evaluated by a Bayesian fixed-effect model. For patients with stage IB-II NSCLC, perioperative chemoimmunotherapy was comparable with adjuvant chemoimmunotherapy [hazard ratio (HR) 1.06, 95% confidence interval (CI): 0.64 to 1.77; P=0.82] and neoadjuvant chemoimmunotherapy (HR 0.78, 95% CI: 0.37 to 1.62; P=0.51) in terms of EFS. In contrast, for patients with stage IIIA-IIIB NSCLC, both perioperative chemoimmunotherapy (HR 0.32, 95% CI: 0.16-0.64; P=0.001) and neoadjuvant chemoimmunotherapy (HR 0.31, 95% CI: 0.14 to 0.69; P=0.004) were associated with significantly improved EFS compared to adjuvant chemoimmunotherapy. All three chemoimmunotherapy strategies showed benefit in PD-L1-positive patients, but only perioperative chemoimmunotherapy significantly improved EFS versus neoadjuvant chemotherapy in PD-L1-negative (tumor proportion score <1%) patients (HR 0.74, 95% CI: 0.60 to 0.91; P=0.005). Additionally, perioperative chemoimmunotherapy was also the only approach that led to significant improvement in EFS for patients with ECOG PS ≥1 (HR 0.55, 95% CI: 0.43 to 0.72; P<0.001). Notably, perioperative chemoimmunotherapy was associated with a higher incidence of grade ≥3 TRAEs compared to neoadjuvant chemoimmunotherapy (OR 1.63, 95% CI: 1.02 to 2.59; P=0.041). Conclusions: Perioperative, adjuvant and neoadjuvant chemoimmunotherapy were all suitable for patients with stage IB-II NSCLC, while perioperative and neoadjuvant chemoimmunotherapy may represent more favorable options for stage III disease. In patients with PD-L1-negative expression or ECOG PS ≥1, only perioperative chemoimmunotherapy was associated with improved EFS versus chemotherapy. Our findings might benefit future individualized immunochemotherapy for resectable NSCLC.

Indexed as

immune-checkpoint inhibitor (ICI)network meta-analysisNon-small cell lung cancer (NSCLC)

Identifiers

PMID41132969
PMCPMC12541841

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