Evidence map›Paper›PMID 31871941›Full record

SynthesisBioMed research international2019

The Diagnostic Value of MicroRNAs as a Biomarker for Hepatocellular Carcinoma: A Meta-Analysis.

Yao Jiang, Jimin He, Yiqin Li, Yongcan Guo, Hualin Tao

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 15 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

5 authors at 3 institutions in 1 country.

Yao JiangDepartment of Clinical Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.ORCID https://orcid.org/0000-0002-5254-550X
Jimin HeDepartment of Neurosurgery, Suining Central Hospital, Suining, China.
Yiqin LiDepartment of Clinical Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yongcan GuoClinical Laboratory of Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China.ORCID https://orcid.org/0000-0002-9968-7441
Hualin TaoDepartment of Clinical Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.ORCID https://orcid.org/0000-0001-9828-626X
Affiliated Hospital of Southwest Medical University · CNSouthwest Medical University · CNSuizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the role of microRNAs (miRNAs) in diagnosing cancer has been attracted increasing attention. However, few miRNAs have been applied in clinical practice. The purpose of this study was to evaluate the diagnostic efficacy of miRNAs for hepatocellular carcinoma (HCC) at early stages clinically.

methodsA literature search was carried out using PubMed, Web of Science, and EMBASE databases. We explored the diagnostic value of miRNAs in distinguishing HCC from healthy individuals. The quality assessment was performed in Review Manager 5.3 software. The overall sensitivity and specificity and 95% confidence intervals (CIs) were obtained with random-effects models through Stata 14.0 software. And heterogeneity was assessed using

resultsA total of 34 studies, involving in 2747 HCC patients and 2053 healthy individuals, met the inclusion criteria in the 33 included literature studies. In the summary receiver operating characteristic (sROC) curve, AUC was 0.92 (95% CI, 0.90-0.94), with 0.84 (95% CI, 0.79-0.88) sensitivity and 0.87 (95% CI, 0.83-0.90) specificity. There was no publication bias (

conclusionmiRNAs in vivo can be acted as a potential diagnostic biomarker for HCC, which can facilitate the early diagnosis of HCC in clinical practice.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularDatabases, FactualHumansLiver NeoplasmsMicroRNAsROC CurveSensitivity and SpecificityBiomarkers, TumorMicroRNAs

Identifiers

PMID31871941
PMCPMC6907051
OpenAlexW2990221430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.