Evidence map›Paper›PMID 31555517›Full record

ArticleTranslational lung cancer research2019

The clinicopathological and prognostic significance of PD-L1 expression assessed by immunohistochemistry in lung cancer: a meta-analysis of 50 studies with 11,383 patients.

Huijuan Li, Yangyang Xu, Bing Wan, Yong Song, Ping Zhan, Yangbo Hu, Qun Zhang, Fang Zhang, Hongbing Liu, Tianhong Li and 5 more

Open access · diamondAbstract read
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Article in Translational lung cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 8 pooled it
4.7field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 8 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Correlation between exosomal PD-L1 and prognosis in patients with cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 4 countries.

Huijuan LiDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
Yangyang XuDepartment of Respiratory Medicine, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.
Bing WanDepartment of Respiratory and Critical Care Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210002, China.
Yong SongDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
Ping ZhanDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
Yangbo HuDepartment of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210000, China.
Qun ZhangDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
Fang ZhangDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
Hongbing LiuDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
Tianhong LiDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis School of Medicine, University of California Davis Comprehensive Cancer Center, Sacramento, California, USA.
Haruhiko SugimuraDepartment of Tumor Pathology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Federico CappuzzoAUSL Romagna, Department of Oncology and Hematology, Ravenna, Italy.
Dang LinDepartment of Respiratory and Critical Care Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou 215001, China.
Tangfeng LvDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
written on behalf of AME Lung Cancer Collaborative Group
Nanjing General Hospital of Nanjing Military Command · CNHamamatsu University School of Medicine · JPAzienda Unità Sanitaria Locale Della Romagna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a meta-analysis to systematically evaluate the relationship between programmed death-ligand 1 (PD-L1) expression and survival in patients with lung cancer.

methodsThe electronic databases PubMed, Embase, Cochrane, and Web of Science were searched up to January 2

resultsFifty studies including 11,383 patients published between 2011 and 2017 were enrolled in this meta-analysis. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) suggested that PD-L1 IHC expression was related to poor overall survival (OS) (HR =1.45, 95% CI: 1.24-1.68). In subgroup analysis categorized according to sample type, cut-off value, ethnicity and TNM stage, the pooled results demonstrated inferior survival in the PD-L1 positive group when the PD-L1 expression was detected by resection specimens (P=0.000), 5% was taken as the cutoff value (P=0.000), the patients were in early stage (I-III) (P=0.000), and the geographic setting of the study was in Asia (P=0.000). Besides, patients with high PD-L1 expression had shorter OS in NSCLC (P=0.000), ADC (P=0.000), SCC (P=0.353) and LELC (P=0.810), while no significant difference was observed in SCLC (P=0.000). The pooled odds ratios (ORs) suggested that PD-L1 expression was associated with male (P<0.001), smoker (P<0.001), poor tumor differentiation (P=0.014), large tumor size (P=0.132), positive lymph nodal metastasis (P=0.002),

conclusionsPD-L1 expression that is associated with several clinicopathological feactures may serve as a poor prognostic biomarker for patients with lung cancer.

Indexed as

Lung cancermeta-analysisprognosisprogrammed cell death ligand 1

Identifiers

PMID31555517
PMCPMC6749117
OpenAlexW2971257521

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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.