Evidence map›Paper›PMID 30320349›Full record

SynthesisOncology reports2019

The diagnostic value of circulating microRNAs as a biomarker for gastric cancer: A meta‑analysis.

Hui Wei, Ke Pu, Xiao-Guang Liu, Bo-Xuan Li, Heng-Shuo Zhang, Huan Wang, Hao Wang, Wei-Ming Sun, Yu-Ping Wang

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
1.4field-weighted citation impact, top 22% 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, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  7. MicroRNA-Mediated Regulatory Networks inBiochemistry research international · 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

9 authors at 2 institutions in 1 country.

Hui WeiDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Ke PuDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Xiao-Guang LiuDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Bo-Xuan LiSchool of Pharmacy, Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Heng-Shuo ZhangThe First Clinical Medical School of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Huan WangThe First Clinical Medical School of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Hao WangThe Second Clinical Medical School of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Wei-Ming SunDepartment of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Yu-Ping WangDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China.
Lanzhou University · CNFirst Hospital of Lanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, cancer research microRNA studies have drawn great attention. However, the results of these studies have been inconsistent and variable regarding the availability of circulating miRNAs in gastric cancer (GC) diagnosis. Thus, results should be interpreted cautiously. The purpose of the present study was to assess the diagnostic performance of circulating miRNAs in GC diagnosis. We conducted a systematic and comprehensive approach for the inclusion of studies. The sensitivity, specificity, and diagnostic odds ratio were pooled with random effects models, and a summary of receiver operator characteristic (SROC) curves were plotted. The potential heterogeneity was assessed with Q test and I2 statistics. Subgroup analyses and meta‑regressions further investigated the sources of heterogeneity. A total of 77 studies from 48 articles were eligible for the meta‑analysis. The results revealed a sensitivity of 0.76, a specificity of 0.81, and an AUC of 0.86 for gastric cancer diagnosis with circulating miRNAs. In addition, subgroup analyses indicated that multiple miRNAs assays, non‑microarray screening approaches, and serum‑based miRNA assays exhibited good diagnostic performance in contrast to a single miRNA assay, microarray expression profiling screening, and plasma‑based miRNA group analysis. The diagnostic ability of miRNAs in early stage I‑II groups and the high expression group were approximately similar to that in the stage I‑IV groups and the low expression group. For the circulating miRNAs, our meta‑analysis identified a combination of multiple miRNAs, non‑microarray chip screening, and serum‑based miRNA assays were associated with the most effective GC diagnostic performance. However, many unclear molecular mechanisms limited the accuracy of the diagnostic results, and should be interpreted with caution. Further large‑scale prospective studies are required for validating the diagnostic applicability of circulating miRNAs in gastric cancer patients.

Indexed as

Biomarkers, TumorCirculating MicroRNAHumansNeoplasm StagingOdds RatioProspective StudiesSensitivity and SpecificityStomach NeoplasmsBiomarkers, TumorCirculating MicroRNA

Identifiers

PMID30320349
PMCPMC6278421
OpenAlexW2897479728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.