Evidence map›Paper›PMID 35637793›Full record

SynthesisJournal of immunology research2022

Efficacy of PD-1/PD-L1 Inhibitors versus Chemotherapy in Lung Cancer with Brain Metastases: A Systematic Review and Meta-Analysis.

Xiaojun Yang, Yihong Zeng, Qinquan Tan, Zhihua Huang, Jun Jia, Guanming Jiang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 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

6 authors at 1 institution in 1 country.

Xiaojun YangDepartment of Oncology, Dongguan Institute for Clinical Cancer Research, Affiliated Dongguan People's Hospital, Southern Medical University, 3 Wandao Road South, Dongguan, 523059 Guangdong, China.ORCID https://orcid.org/0000-0001-9668-5099
Yihong ZengDepartment of Oncology, Dongguan Institute for Clinical Cancer Research, Affiliated Dongguan People's Hospital, Southern Medical University, 3 Wandao Road South, Dongguan, 523059 Guangdong, China.ORCID https://orcid.org/0000-0002-1540-7706
Qinquan TanDepartment of Oncology, Dongguan Institute for Clinical Cancer Research, Affiliated Dongguan People's Hospital, Southern Medical University, 3 Wandao Road South, Dongguan, 523059 Guangdong, China.ORCID https://orcid.org/0000-0002-6245-4652
Zhihua HuangDepartment of Nephrology and Immunology, Dongguan Marina Bay Central Hospital, Dongguan 523900, China.ORCID https://orcid.org/0000-0003-3553-9324
Jun JiaDepartment of Oncology, Dongguan Institute for Clinical Cancer Research, Affiliated Dongguan People's Hospital, Southern Medical University, 3 Wandao Road South, Dongguan, 523059 Guangdong, China.ORCID https://orcid.org/0000-0002-8691-0501
Guanming JiangDepartment of Oncology, Dongguan Institute for Clinical Cancer Research, Affiliated Dongguan People's Hospital, Southern Medical University, 3 Wandao Road South, Dongguan, 523059 Guangdong, China.ORCID https://orcid.org/0000-0002-1864-4168
Dongguan People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) are widely used to treat local or metastatic lung cancer. However, the efficacy of ICI in patients with brain metastases (BM) from lung cancer is unknown. This study aimed to evaluate the efficacy of PD-1/PD-L1 ICIs compared with chemotherapy for patients with lung cancer with BM. Electronic databases (PubMed, Embase, The Cochrane Library, and Web of Science) were searched. The meta-analysis assessed overall survival (OS) and progression-free survival (PFS) of the PD-1/PD-L1 inhibitors axis and its relationship with pathological type, drug modality, and the treatment line number in patients with BM from lung cancer. We included 694 patients with BM from lung cancer from 11 randomized controlled trials. Statistical analysis showed that compared with chemotherapy, PD-1/PD-L1 inhibitors could significantly prolong OS (hazard ratio (HR) = 0.75, 95%confidence interval (95%CI) = 0.51-0.99) and PFS (HR = 0.65, 95%CI = 0.51-0.80). In the subgroup analysis, ICIs plus chemotherapy improved PFS (HR = 0.60, 95%CI = 0.40-0.80), but not OS (HR = 0.75, 95%CI = 0.30-1.19). The efficacy of ICI monotherapy in patients with BM was significantly different between OS and PFS: OS pooled HR = 0.81 (95%CI = 0.57-1.05) and PFS = 0.78 (95%CI = 0.62-0.94). Among different pathological types, the OS pooled HR was 0.67 (95%CI = 0.39-0.95) for non-small cell lung cancer (NSCLC) and 0.94 (95%CI = 0.56-1.33) for small cell lung cancer (SCLC); the PFS pooled HR was 0.58 (95%CI = 0.39-0.76) for NSCLC and 0.79 (95%CI = 0.65-0.93) for SCLC. Subgroups analysis of treatment line showed that no advantage for OS with ICIs as first-line or subsequent-line therapy, whereas ICIs as first-line (HR = 0.63, 95%CI = 0.53-0.74) and second-line (HR = 0.62, 95%CI = 0.62-0.96) benefitted PFS. This meta-analysis implied that compared with chemotherapy, PD-1/PD-L1 inhibitors significantly improved efficacy treatment of patients with BM from lung cancer. Further studies are needed to confirm the role of ICIs in different pathological types and drug treatment modalities.

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungLung NeoplasmsHumansImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptor

Identifiers

PMID35637793
PMCPMC9146465
OpenAlexW4281254643

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.