Evidence map›Paper›PMID 34449486›Full record

SynthesisMedicine2021

The predictive and prognostic effects of PD-L1 expression on TKI treatment and survival of EGFR-mutant NSCLC: A meta-analysis.

Bo Lan, Yongfang Wang, Jingni Wu, Kai Wang, Pingli Wang

Abstract readMeta-Analysis
In one paragraph

Synthesis in 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.

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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

5 authors.

Bo LanDepartment of Respiratory Medicine, The Third People's Hospital of Hangzhou, Hangzhou, China.ORCID 0000-0003-1289-9327
Yongfang WangDepartment of Allergy, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jingni WuDepartment of Respiratory Medicine, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Kai WangDepartment of Respiratory Medicine, Forth Affiliated Hospital, Z School of Medicine, Zhejiang University, Jinhua, China.
Pingli WangDepartment of Respiratory Medicine, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractWhether programmed death-ligand 1 (PD-L1) expression could predict the outcome of tyrosine kinase inhibitor (TKI) treatment and prognosis of epidermal growth factor receptor (EGFR)-mutant nonsmall cell lung cancer (NSCLC) is remaining controversial.Potential studies were search from PubMed, Embase, and Web of Science databases. Pooled odds ratio of objective response rate was used to describe the relationship between PD-L1 expression and primary resistance to EGFR-TKIs. Pooled hazard ratios (HRs) of progression-free survival (PFS) and overall survival (OS) were included to assess the effects of PD-L1 status on the outcome of EGFR-TKI treatment and survival of EGFR-mutant NSCLCs.Eighteen eligible studies (1986 EGFR-mutant NSCLCs) were included in this meta-analysis. Positive PD-L1 expression correlated with lower objective response rate of EGFR-TKI treatment (odds ratio [95% confidence interval {CI}] = 0.52 [0.28-0.98], P = .043), while PFS (adjusted HR [95% CI] = 1.49 [0.96-1.89], P = .332) and OS (HR [95% CI] = 1.24 [0.70-2.20], P = .456) of EGFR-TKI treatment did not correlated with PD-L1 status. Furthermore, PD-L1 expression was not a predictive biomarker for the OS (HR [95% CI] = 1.43 [0.98-2.08], P = .062) in overall EGFR-mutant cohort.Positive PD-L1 expression indicated a higher incidence of primary resistance, but did not correlate with the PFS or OS of EGFR-TKI therapy. In addition, PD-L1 expression was unlikely a predictive biomarker for prognosis of EGFR-mutant NSCLCs.

Indexed as

B7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungErbB ReceptorsHumansLung NeoplasmsObservational Studies as TopicProgression-Free SurvivalProtein Kinase InhibitorsSurvival AnalysisB7-H1 AntigenBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID34449486
PMCPMC8389972

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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.