Evidence map›Paper›PMID 41367554›Full record

ArticleTranslational lung cancer research2025

Comparative effectiveness and safety of systemic therapies for treatment-naïve, PD-L1 expression <1% advanced NSCLC: a systematic review and network meta-analysis.

Mengyun Zhou, Junfang Huang, Zhou Jin, Qingqing Hao, Xueying Li, Kunyao Yu, Kunyan Sun, Xiang Zhao, Meng Zhang, Guangfa Wang and 1 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 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

11 authors.

Mengyun Zhou *Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0009-0009-4975-3867
Junfang Huang *Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Zhou JinDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Qingqing HaoDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Xueying LiDepartment of Medical Statistics, Peking University First Hospital, Beijing, China.
Kunyao YuDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Kunyan SunDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Xiang ZhaoDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Meng ZhangDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Guangfa WangDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
Yuan ChengDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9763-7424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For advanced non-small cell lung cancer (NSCLC) with programmed cell death ligand 1 (PD-L1) expression <1% and no actionable oncogenic alterations, pembrolizumab plus chemotherapy (Pembro-chemo) is widely regarded as the current standard of care. However, emerging therapeutic combinations and preliminary results from ongoing trials challenge its superiority, particularly across different histologic types. Therefore, this study aimed to appraise the effectiveness and safety of first-line treatment for PD-L1 <1% advanced, non-squamous and squamous NSCLC. Methods: PubMed, Ovid Medline, the Cochrane Library, and Embase were searched from database inception to August 15, 2025, to identify phase III randomized controlled trials (RCTs) that explored first-line treatments in treatment-naïve advanced NSCLC, PD-L1 <1%, no epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) alterations; and reported any efficacy outcome were eligible for inclusion. Treatment effectiveness was quantified using overall survival (OS), progression-free survival (PFS) and objective response rate (ORR). Surface under the cumulative ranking value (SUCRA) was used to rank the therapies. Risk of bias for included RCTs was assessed using the Cochrane Risk of Bias 2 tool. Results: Twenty-five phase III RCTs involving 5,815 participants were eligible. Overall, 21 first-line treatments were identified. In terms of OS, pembrolizumab + chemotherapy + canakinumab (Pembro-chemo-canakinumab) (SUCRA =0.90) showed great potential in improving outcomes, although its long-term efficacy still needed to be validated. Nivolumab + ipilimumab (Nivo-ipi) (SUCRA =0.78) closely followed. Both top regimens showed non-significant superiority over Pembro-chemo. Regarding PFS, nivolumab + chemotherapy + bevacizumab (SUCRA =0.88), and serplulimab + chemotherapy (SUCRA =0.87) were the optimal regimens. Specifically for non-squamous patients, Pembro-chemo was optimal for OS (SUCRA =0.90), followed by Nivolumab + chemotherapy + bevacizumab (SUCRA =0.82). Nivolumab + chemotherapy + bevacizumab optimized PFS, with an hazard ratio (HR) of 0.52 [95% confidence interval (CI): 0.30-0.92 Conclusions: First-line personalized treatment for PD-L1 <1%, advanced NSCLC should be histology-based, balancing efficacy and toxicity. Pembro-chemo and nivolumab + chemotherapy + bevacizumab combinations are recommended as the optimal first-line options for non-squamous patients, and Nivo-ipi-chemo for squamous patients.

Indexed as

Advanced non-small cell lung cancer (advanced NSCLC)first-line treatmentprogrammed cell death ligand 1 negative (PD-L1 negative)

Identifiers

PMID41367554
PMCPMC12683440

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.