Evidence map›Paper›PMID 25135426›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Identification of microRNAs as novel biomarkers for detecting esophageal squamous cell carcinoma in Asians: a meta-analysis.

Yanying Wang, Qingxiu Wang, Na Zhang, Hong Ma, Yuchun Gu, Hongming Tang, Zengguang Xu, Yong Gao

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  12. Non-coding RNAs in saliva: emerging biomarkers for molecular diagnostics.International journal of molecular sciences · 2015
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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

8 authors at 3 institutions in 1 country.

Yanying WangDepartment of Gastroenterology, East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Qingxiu Wang
Na Zhang
Hong Ma
Yuchun Gu
Hongming Tang
Zengguang Xu
Yong Gao
Shanghai East Hospital · CNHarbin University of Commerce · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has suggested that microRNAs (miRNAs) may play potential role as ideal diagnostic indicators of esophageal squamous cell carcinoma (ESCC). However, previous studies have met discrepant results. Thus, we conducted this meta-analysis to assess the potential diagnostic value of miRNAs for ESCC. A systematic literature search was conducted in PubMed and other databases. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated to evaluate the overall test performance. The Q statistic and the I(2) test were used to assess between-study heterogeneity. The potential sources of heterogeneity were further analyzed by subgroup analyses and meta-regression. Seventeen studies from eight articles, including 995 ESCC patients and 733 healthy controls, were included in this meta-analysis. The pooled SEN and SPE were 0.81 (95% confidence interval (CI) 0.76-0.85) and 0.83 (95 % CI 0.76-0.88), respectively. The pooled PLR was 4.6 (95% CI 3.3-6.5), NLR was 0.23 (95% CI 0.19-0.29), and DOR was 20 (95% CI 13-31). The pooled AUC was 0.91 (95% CI 0.88-0.93). Subgroup analyses indicated that blood-based miRNA assay displays better diagnostic accuracy than saliva-based miRNA assay. In summary, miRNA analysis may serve as novel noninvasive biomarkers for ESCC with excellent diagnostic characteristic. In addition, subgroup analysis suggested that blood-based assay yields better diagnostic characteristics than saliva-based assay. However, many issues should be managed before these findings can be translated into a clinically useful detection method for ESCC.

Indexed as

Asian PeopleBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesEsophageal NeoplasmsHumansMicroRNAsPrognosisRisk FactorsBiomarkers, TumorMicroRNAs

Identifiers

PMID25135426
OpenAlexW2027808411

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.