Evidence map›Paper›PMID 32863271›Full record

ArticleJournal for immunotherapy of cancer2020

Immune-related pneumonitis associated with immune checkpoint inhibitors in lung cancer: a network meta-analysis.

Xinru Chen, Zhonghan Zhang, Xue Hou, Yaxiong Zhang, Ting Zhou, Jiaqing Liu, Zhihuan Lin, Wenfeng Fang, Yunpeng Yang, Yuxiang Ma and 3 more

Open access · goldAbstract readNetwork Meta-Analysis
In one paragraph

Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 7 pooled it
2.4field-weighted citation impact, top 9% of its field
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

29 citing papers in PubMed, 7 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  12. Clinical and histopathological features of immune checkpoint inhibitor-induced lung toxicity.Virchows Archiv : an international journal of pathology · 2025
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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

13 authors at 1 institution in 1 country.

Xinru Chen *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.ORCID 0000-0002-9093-1911
Zhonghan Zhang *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Xue Hou *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Yaxiong ZhangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Ting ZhouDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Jiaqing LiuDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Zhihuan LinDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Wenfeng FangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Yunpeng YangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Yuxiang MaDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yan HuangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Hongyun ZhaoDepartment of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China zhangli6@mail.sysu.edu.cn zhaohy@sysucc.org.cn.
Li ZhangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China zhangli6@mail.sysu.edu.cn zhaohy@sysucc.org.cn.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have dramatically revolutionized lung cancer treatment, providing unprecedented clinical benefits. However, immune-related pneumonitis (IRP) caused by ICIs has aroused widespread concern due to its high rate of discontinuation and mortality. This network meta-analysis (NMA) aims to compare the risks of IRP among different regimens for advanced lung cancer.

methodsPhase II and III randomized clinical trials (RCTs) were searched from electronic databases. The rates of grade 1-5 IRP and grade 3-5 IRP were systematically extracted. An NMA was conducted among chemotherapy, ICIs monotherapy, dual ICIs combination, and ICIs+chemotherapy. Subgroup analysis was also compared based on specific types of ICIs.

resultsTwenty-five RCTs involving 17,310 patients were eligible for inclusion. Compared with chemotherapy, ICI-based regimens were associated with an increased risk of grade 1-5 IRP and grade 3-5 IRP. Compared with ICIs+chemotherapy, ICIs monotherapy (grade 1-5: OR 2.14, 95% credible interval 1.12 to 4.80; grade 3-5: 3.03, 1.491 to 6.69) and dual ICIs combination (grade 1-5: 3.86, 1.69 to 9.89; grade 3-5: 5.12, 2.01 to 13.68) were associated with a higher risk of grade 1-5 IRP and grade 3-5 IRP. No significant difference was found between dual ICIs combination and ICIs monotherapy in grade 1-5 IRP (1.85, 0.91 to 3.37) or in grade 3-5 IRP (1.65, 0.81 to 3.37). Besides, compared with programmed cell death protein 1 (PD-1) inhibitors (2.56, 1.12 to 6.60), a lower risk of grade 1-5 IRP was observed in programmed cell death ligand 1 (PD-L1) inhibitors.

conclusionCompared with chemotherapy, using ICIs is associated with an increased risk of IRP. ICIs+chemotherapy is associated with a lower risk of IRP compared with dual ICIs combination and ICIs monotherapy. PD-1 inhibitors are associated with a higher risk of 1-5 grade IRP compared with PD-L1 inhibitors.

Indexed as

AdolescentAdultAgedAged, 80 and overHumansImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsMiddle AgedPneumoniaYoung AdultImmune Checkpoint Inhibitorsimmunotherapylung neoplasms

Identifiers

PMID32863271
PMCPMC7462235
OpenAlexW3081755429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.