Evidence map›Paper›PMID 29952976›Full record

SynthesisMedicine2018

The prognostic value of microRNA-183 in human cancers: A meta-analysis.

Xiao-Long Zhang, Shou-Hua Pan, Jia-Jun Yan, Gang Xu

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. NGF/TRKA Decrease miR-145-5p Levels in Epithelial Ovarian Cancer Cells.International journal of molecular sciences · 2020
    Article
  6. Circulating RNAs as Potential Biomarkers in Amyotrophic Lateral Sclerosis.International journal of molecular sciences · 2020
    Review
  7. Review
  8. Review
  9. Review
  10. Article
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

4 authors at 1 institution in 1 country.

Xiao-Long ZhangDepartment of Urology, Shaoxing People's hospital (Shaoxing Hospital, Zhejiang University School of Medicine) Shaoxing, Zhejiang, China.
Shou-Hua Pan
Jia-Jun Yan
Gang Xu
Shaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have been conducted to explore the prognostic value of miR-183 in different types of cancer; however, their results were controversial. Therefore, the present meta-analysis was conducted to comprehensively evaluate the prognostic value of miR-183 expression level in cancer.

methodsA comprehensive literature search was carried out by searching PubMed and EMBASE database between January 1966 and April 2017. Fixed effect and random effect models were used to evaluate the pooled hazard risk (HR) and the relevant 95% confidence intervals (CIs). Subgroup analyses and sensitivity analysis were also carried out.

resultsA total of 12 studies published between 2011 and 2017 were included in the present meta-analysis. The meta-analysis result indicated that there was a significant association between miR-183 expression level and overall survival (HR = 2.642; 95%CI: 2.152-3.245), and there was a significant association between miR-183 expression level and tumor progression (HR = 2.403; 95%CI: 1.267-4.559). In subgroup analysis, we found that high expression level was significantly associated with poor prognosis in most cancers (HR = 2.824, 95%CI: 2.092-3.813); however, low miR-183 level was significantly associated with poor prognosis in melanoma and pancreatic ductal adenocarcinoma (HR = 2.322, 95%CI: 1.337-4.031).

conclusionsThe results of our meta-analysis indicated that the highly expressed miR-183 might predict poor survival of patients with most cancer types, whereas the downregulated miR-183 level might be associated with poor prognosis in patients with melanoma and pancreatic ductal adenocarcinoma.

Indexed as

Biomarkers, TumorDisease ProgressionHumansMicroRNAsNeoplasmsPrognosisSurvival RateBiomarkers, TumorMicroRNAsMIRN183 microRNA, human

Identifiers

PMID29952976
PMCPMC6039630
OpenAlexW2809917905

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.