Evidence map›Paper›PMID 31032345›Full record

SynthesisBioMed research international2019

Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis.

Yanming Zhang, Jigang Chen, Qiang Xue, Junyu Wang, Liang Zhao, Kaiwei Han, Danfeng Zhang, Lijun Hou

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Prognostic and Predictive Biomarkers in Gliomas.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
  14. Under-expression of microRNA-146a and 21 and their association with Crohn's disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. miR-454-3p promotes of human glioma cell growth by targeting EGR3.Experimental and therapeutic medicine · 2019
    Article
  20. 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

8 authors.

Yanming ZhangSecond Sub-Team, Fourth Team, Undergraduate Management Team, Second Military Medical University, Shanghai, China.
Jigang ChenDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0003-0963-1194
Qiang XueDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0001-7220-4975
Junyu WangDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0001-5096-9598
Liang ZhaoDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0002-0610-974X
Kaiwei HanDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0001-9538-514X
Danfeng ZhangDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0003-2444-9227
Lijun HouDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.ORCID 0000-0001-9877-1599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDifferent microRNAs (miRs) have been demonstrated to relate with the outcome of glioma patients, while the conclusions are inconsistent. We perform a meta-analysis to clarify the relationship between different miRs and prognosis of glioma.

methodsRelated studies were retrieved from PubMed, Embase, and Cochrane Library. Pooled hazard ratios (HRs) of different miRs expression for survival and 95% confidence intervals (CIs) were calculated using random-effects model.

resultsA total of 15 miRs with 4708 glioma patients were ultimately included. Increased expression of miR-15b (HR, 1.584; 95% CI, 1.199-2.092), 21 (HR, 1.591; 95% CI, 1.278-1.981), 148a (HR, 1.122; 95% CI, 1.023-1.231), 196 (HR, 1.877; 95% CI, 1.033-3.411), 210 (HR, 1.251; 95% CI, 1.010-1.550), and 221 (HR, 1.269; 95% CI, 1.054-1.527) or decreased expression of miR-106a (HR, 0.809; 95% CI, 0.655-0.998) and 124 (HR, 0.833; 95% CI, 0.729-0.952) was correlated with poor outcome of glioma patients.

conclusionsmiR-15b, 21, 148a, 196, 210, 221, 106a, and 124 are valuable biomarkers for the prognosis of glioma which might be used in clinical settings.

Indexed as

PrognosisBiomarkers, TumorDisease-Free SurvivalGene Expression Regulation, NeoplasticGliomaHumansMicroRNAsSurvival AnalysisBiomarkers, TumorMicroRNAs

Identifiers

PMID31032345
PMCPMC6457304

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Registered trials

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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.