Evidence map›Paper›PMID 31407099›Full record

SynthesisClinical and experimental medicine2019

The clinicopathological and prognostic value of PD-L1 in urothelial carcinoma: a meta-analysis.

Yaoan Wen, Yeda Chen, Xiaolu Duan, Wei Zhu, Chao Cai, Tuo Deng, Guohua Zeng

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Clinical and experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  19. Involvement of FGFR4 Gene Variants on the Clinicopathological Severity in Urothelial Cell Carcinoma.International journal of environmental research and public health · 2019
    Article
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

7 authors at 1 institution in 1 country.

Yaoan WenDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
Yeda ChenDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
Xiaolu DuanDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
Wei ZhuDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
Chao CaiDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
Tuo DengDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China.
Guohua ZengDepartment of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Kangda Road 1#, Haizhu District, Guangzhou, 510230, Guangdong, China. gzgyzgh@vip.tom.com.ORCID http://orcid.org/0000-0002-3790-6434
First Affiliated Hospital of Guangzhou Medical University · CN

Funding

Collaborative Innovation Project of Guangzhou Education Bureau 1201620011the Guangzhou Science Technology and Innovation Commission 201704020193the National Natural Science Foundation of China 81402430
6 · The paper itself

Abstract

The prognostic value of programed death-ligand 1 (PD-L1) in urothelial carcinoma (UC) has been assessed in previous studies, while the results remain controversial and heterogeneous. Therefore, we performed this meta-analysis to explore the prognostic effect of PD-L1 in patients with UC. PubMed, Embase and Web of Science were searched to identify the studies. Hazard ratios (HR) with 95% confidence interval (95% CI) and clinicopathological factors were extracted from included studies. A total of 1819 patients with UC from 11 published studies were incorporated. The results of meta-analysis showed that positive PD-L1 expression was significantly associated with poorer overall survival (OS) (HR 1.59, 95% CI 1.05-2.40) and disease-free survival (DFS) (HR 1.83, 95% CI 1.03-3.25), but not recurrence-free survival. Moreover, in the subgroup analysis, significant associations between PD-L1 expression and OS or DFS were found in bladder UC, the cutoff value of positive expression of PD-L1 ≥ 5% and the expression of PD-L1 on the tumor cell membrane. Interestingly, positive PD-L1 expression was correlated with poorer pathological T stage (OR 2.03, 95% CI 1.46-2.82). Our meta-analysis implies that PD-L1 might be a valuable biomarker of poor prognosis for UC, especially bladder UC, although further large-scale and well-designed studies are warranted to verify the prognostic value of PD-L1 for UC.

Indexed as

Up-RegulationB7-H1 AntigenBiomarkers, TumorCarcinoma, Transitional CellCell MembraneGene Expression Regulation, NeoplasticHumansNeoplasm StagingPrognosisSurvival AnalysisUrinary Bladder NeoplasmsB7-H1 AntigenBiomarkers, TumorCD274 protein, humanBiomarkerMeta-analysisPD-L1PrognosisUrothelial carcinoma

Identifiers

PMID31407099
OpenAlexW2967109313

What OpenQuestion holds

Textmetadata
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.