Evidence map›Paper›PMID 34454455›Full record

ArticleBMC cancer2021

The landscape of immune checkpoint inhibitor therapy in advanced lung cancer.

Chengdi Wang, Jingwei Li, Qiran Zhang, Jiayang Wu, Yuxuan Xiao, Lujia Song, Hanlin Gong, Yalun Li

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Chengdi WangDepartment of Respiratory and Critical Care Medicine, West China Medical School/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.ORCID http://orcid.org/0000-0002-5284-2889
Jingwei LiDepartment of Respiratory and Critical Care Medicine, West China Medical School/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
Qiran ZhangWest China Medical School/West China Hospital, Sichuan University, Chengdu, China.
Jiayang WuWest China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, China.
Yuxuan XiaoWest China School/Hospital of Stomatology, Sichuan University, Chengdu, China.
Lujia SongDepartment of Respiratory and Critical Care Medicine, West China Medical School/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
Hanlin GongDepartment of integrated Traditional Chinese and Western Medicine, West China Medical School/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China. 9463382@qq.com.
Yalun LiDepartment of Respiratory and Critical Care Medicine, West China Medical School/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China. liyalun@wchscu.cn.
Sichuan University · CNWest China Medical Center of Sichuan University · CN

Funding

Department of Science and Technology of Sichuan Province (CN) 2020YFS0572national guided science and technology development project of sichuan province 2020ZYD009Science and Technology Project of Chengdu 2017-CY02-00030-GXSichuan University 2021SCU12018Sichuan University C2021116604West China Hospital, Sichuan University 2020HXBH084
6 · The paper itself

Abstract

backgroundThe advent of immune checkpoint inhibitors (ICIs) therapy has resulted in significant survival benefits in patients with non-small-cell lung cancer (NSCLC) without increasing toxicity. However, the utilisation of immunotherapy for small-cell lung cancer (SCLC) remains unclear, with a scarcity of systematic comparisons of therapeutic effects and safety of immunotherapy in these two major lung cancer subtypes. Herein, we aimed to provide a comprehensive landscape of immunotherapy and systematically review its specific efficacy and safety in advanced lung cancer, accounting for histological types.

methodsWe identified studies assessing immunotherapy for lung cancer with predefined endpoints, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and treatment-related adverse events (TRAE), from PubMed, Embase, Medline, and Cochrane library. A random-effects or fixed-effect model was adopted according to different settings.

resultsOverall, 38 trials with 20,173 patients with lung cancer were included in this study. ICI therapy resulted in a significantly prolonged survival in both patients with NSCLC and SCLC when compared with chemotherapy (hazard ratio [HR] = 0.74; 95% confidence interval [CI], 0.70-0.79] and [HR = 0.82; 95% CI, 0.75-0.90], respectively). The magnitude of disease control and survival benefits appeared superior with ICI plus standard of care (SOC) when compared with SOC alone. OS and PFS advantages were observed only when immunotherapy was employed as the first-line treatment in patients with SCLC.

conclusionICI therapy is a promising therapeutic option in patients with NSCLC and SCLC. ICI plus SOC can be recommended as the optimal first-line treatment for patients with SCLC, and double-target ICIs combined with SOC are recommended in patients with NSCLC as both the first and subsequent lines of treatment. Additionally, non-first-line immunotherapy is not recommended in patients with SCLC.

Indexed as

AgedCarcinoma, Non-Small-Cell LungFemaleHumansImmune Checkpoint InhibitorsLung NeoplasmsMalePrognosisSmall Cell Lung CarcinomaStandard of CareSurvival RateSystematic Reviews as TopicImmune Checkpoint InhibitorsEfficacyImmune checkpoint inhibitorNon-small-cell lung cancerSmall-cell lung cancer

Identifiers

PMID34454455
PMCPMC8403352
OpenAlexW3197753741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.