Evidence map›Paper›PMID 25918453›Full record

SynthesisDisease markers2015

MicroRNA-155 hallmarks promising accuracy for the diagnosis of various carcinomas: results from a meta-analysis.

Chuancheng Wu, Qiuyan Liu, Baoying Liu

Abstract readEvaluation StudyMeta-Analysis
In one paragraph

Synthesis in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
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.

Chuancheng WuDepartment of Preventive Medicine, Fujian Province Key Lab of Environment and Health, Institution of Environment and Health, Major Subject of Environment and Health of Fujian Key Universities, School of Public Health, Fujian Medical University, No. 1 Xue Yuan Road, University Town, Fuzhou, Fujian 350108, China.
Qiuyan LiuSchool of Postgraduate Education, Fujian Medical University, No. 1 Xue Yuan Road, University Town, Fuzhou, Fujian 350108, China.
Baoying LiuDepartment of Preventive Medicine, Fujian Province Key Lab of Environment and Health, Institution of Environment and Health, Major Subject of Environment and Health of Fujian Key Universities, School of Public Health, Fujian Medical University, No. 1 Xue Yuan Road, University Town, Fuzhou, Fujian 350108, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have shown that microRNAs (miRNAs) have diagnostic values in various cancers. This meta-analysis seeks to summarize the global diagnostic role of miR-155 in patients with a variety of carcinomas.

methodsEligible studies were retrieved by searching the online databases, and the bivariate meta-analysis model was employed to generate the summary receiver operator characteristic (SROC) curve.

resultsA total of 17 studies dealing with various carcinomas were finally included. The results showed that single miR-155 testing allowed for the discrimination between cancer patients and healthy donors with a sensitivity of 0.82 (95% CI: 0.73-0.88) and specificity of 0.77 (95% CI: 0.70-0.83), corresponding to an area under curve (AUC) of 0.85, while a panel comprising expressions of miR-155 yielded a sensitivity of 0.76 (95% CI: 0.68-0.82) and specificity of 0.82 (95% CI: 0.77-0.86) in diagnosing cancers. The subgroup analysis displayed that serum miR-155 test harvested higher accuracy than plasma-based assay (the AUC, sensitivity, and specificity were, resp., 0.87 versus 0.73, 0.78 versus 0.74, and 0.77 versus 0.70).

conclusionsOur data suggest that single miR-155 profiling has a potential to be used as a screening test for various carcinomas, and parallel testing of miR-155 confers an improved specificity compared to single miR-155 analysis.

Indexed as

CarcinomaCase-Control StudiesHumansMicroRNAsPredictive Value of TestsROC CurveMicroRNAsMIRN155 microRNA, human

Identifiers

PMID25918453
PMCPMC4397007

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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.