Evidence map›Paper›PMID 30062087›Full record

ArticleFrontiers in oncology2018

Comprehensive Assessment of the Relationship Between MicroRNA-124 and the Prognostic Significance of Cancer.

Yadong Sun, Fujiao Duan, Weigang Liu, Zhen Peng, Liping Dai, Yajing Feng, Zhenxing Yang, Jia Shang, Kaijuan Wang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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.

Yadong SunDepartment of Breast and Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Fujiao DuanDepartment of Breast and Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Weigang LiuMedical Record Statistics Office, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Zhen PengDepartment of Infectious Disease, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Liping DaiCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Yajing FengDepartment of Nosocomial Infection Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhenxing YangDepartment of Breast and Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Jia ShangDepartment of Infectious Disease, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Kaijuan WangCollege of Public Health, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have demonstrated the presence of microRNA-124 abnormalities involving gene expression, methylation, and single nucleotide polymorphism (SNP) in multiple and diverse cancers, but the prognostic value of these abnormalities in cancer remains inconclusive.

objectiveThe aim of this study is to determine the prognostic value of miR-124 in cancer.

methodsWe scrutinized the electronic databases and estimate the association between miR-124 expression, methylation and single nucleotide polymorphisms (SNPs), and prognosis in cancers. The pooled hazard ratios with 95% confidence intervals (CIs) for overall survival (OS), and disease-free survival/recurrence-free survival (RFS)/progression-free survival (PFS) were calculated to estimate the effects of miR-124 expression, methylation, and SNPs on cancer prognosis. The Quality in Prognosis Studies and Newcastle-Ottawa Scale were utilized to assess the quality of included studies.

resultsA total of 20 studies involving 3,574 participants were analyzed in evidence synthesis. Our findings showed that the low expression of miR-124 was significantly associated with poor OS (HR = 2.37, 95% CI: 1.91-2.94,

conclusionThe low expression and hyper-methylation of miR-124 was strongly associated with poor prognosis, and genetic variations of miR-124 rs531564 affected prognosis in cancer patients.

Indexed as

cancercomprehensive assessmentmiR-124prognosisrisk factor

Identifiers

PMID30062087
PMCPMC6055006

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