Evidence map›Paper›PMID 34747149›Full record

ArticleCancer medicine2021

First-line immune-based combination therapies for advanced non-small cell lung cancer: A Bayesian network meta-analysis.

Ziyang Mao, Panpan Jiang, Yajuan Zhang, Yanlin Li, Xiaohui Jia, Qinyang Wang, Min Jiao, Lili Jiang, Yuan Shen, Hui Guo

Abstract readNetwork Meta-Analysis
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

10 authors.

Ziyang MaoDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Panpan JiangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Yajuan ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Yanlin LiDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Xiaohui JiaDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Qinyang WangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Min JiaoDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Lili JiangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Yuan ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, P.R. China.
Hui GuoDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.ORCID 0000-0003-4412-3953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune-based combination therapies have revolutionized the first-line treatment for advanced non-small cell lung cancer (NSCLC). However, for the efficacy and safety, the best treatment option is still uncertain.

methodsWe conducted a Bayesian network meta-analysis of randomized controlled trials (RCTs) to evaluate first-line immune-based combination therapies for advanced NSCLC.

resultsFourteen trials involving 8467 patients were included. For the programmed cell death-ligand 1 (PD-L1) expression non-selective patients, there were no significant differences among all the treatment modes for overall survival (OS), but the ranking profiles indicated that Immunotherapy + Immunotherapy + Chemotherapy (IO + IO + Chemo) was most likely to be the best mode (probability = 68%). Immunotherapy + Immunotherapy + Anti-angiogenic therapy + Chemotherapy (IO + Anti-angio + Chemo) was significantly better than most other treatment modes for progression-free survival (PFS) with better objective response rate (ORR) and more obvious grade ≥3 treatment-related adverse events (TRAEs). In PD-L1-high cohort, IO + Anti-angio + Chemo seemed to be the best mode for OS, PFS, and ORR according to the ranking profiles. In PD-L1-intermediate and PD-L1-negative cohort, IO + IO + Chemo was inclined to be ranked first for prolonging OS (probability = 78%; 37%) and IO + Anti-angio + Chemo was most likely to provide best PFS (probability = 96%; 100%).

conclusionIO + IO + Chemo has great potential to improve the OS regardless of histology type, especially in PD-L1-intermediate and PD-L1-negative cohort. IO + Anti-angio + Chemo shows great superiority in improving the short-term survival accompanied by increasing grade ≥3 TRAEs.

Indexed as

Bayes TheoremCarcinoma, Non-Small-Cell LungHumansImmunotherapyLung Neoplasmsefficacyimmune-based combination therapiesnetwork meta-analysisnon-small cell lung cancersafety

Identifiers

PMID34747149
PMCPMC8683544

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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.