Evidence map›Paper›PMID 32489980›Full record

ArticleObstetrics & gynecology science2020

Prognostic value of programmed cell death ligand-1 expression in ovarian cancer: an updated meta-analysis.

Jinlan Piao, Hyun Ji Lim, Maria Lee

Open access · diamondAbstract read
In one paragraph

Article in Obstetrics & gynecology science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Correlation of PD-L1 expression with different clinico-pathological and immunohistochemical features of ovarian surface epithelial tumors.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

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

3 authors at 2 institutions in 1 country.

Jinlan PiaoDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Hyun Ji LimDepartment of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, Korea.
Maria LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8017-3176
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the prognostic significance of programmed cell death ligand-1 (PD-L1) in ovarian cancer.

methodsPubMed, Embase, and Cochrane Library databases were searched to identify studies that examined the prognostic significance of immunohistochemically assessed PD-L1 expression in histologically confirmed ovarian cancer. Eleven studies on PD-L1 expression involving 1,296 patients with ovarian cancer were included in this meta-analysis. Pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were analyzed. Relationship between PD-L1 expression, and overall survival (OS) or progression-free survival (PFS) among patients with ovarian cancer was assessed. Subgroup analysis was performed based on the race, histologic type, and tumor International Federation of Gynecology and Obstetrics stage to evaluate the source of heterogeneity. Begg's Funnel plot and Egger's linear test were used to evaluate publication bias. Random-effects model was implemented when significant between-study heterogeneity (I

resultsWe found no correlation between PD-L1 expression, and OS (HR, 1.13; 95% CI, 0.95-1.36; I

conclusionOur meta-analysis suggests that PD-L1 expression is not associated with patient risk for ovarian cancer.

Indexed as

Ovarian cancerPD-L1PrognosisProgression-free survivalSurvival rate

Identifiers

PMID32489980
PMCPMC7231937
OpenAlexW3014832026

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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.