Evidence map›Paper›PMID 32104065›Full record

ArticleCancer management and research2020

The Significance of miRNAs as a Prognostic Biomarker for Survival Outcome in T Cell - Acute Lymphoblastic Leukemia Patients: A Systematic Review and Meta-Analysis.

Shanthi Sabarimurugan, Chellan Kumarasamy, Madurantakam Royam Madhav, Suja Samiappan, Rama Jayaraj

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. 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
1.1field-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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. miRNAs in Lymphocytic Leukaemias-The miRror of Drug Resistance.International journal of molecular sciences · 2022
    Review
  4. Mapping Research on miRNAs in Cancer: A Global Data Analysis and Bibliometric Profiling Analysis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  5. 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

5 authors at 4 institutions in 2 countries.

Shanthi SabarimuruganTheranostics, GenesisCare, Perth, WA, Australia.
Chellan KumarasamyUniversity of Adelaide, North Terrace Campus, Adelaide, SA 5005, Australia.
Madurantakam Royam MadhavSchool of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India 632014.ORCID 0000-0002-7885-460X
Suja SamiappanDepartment of Biochemistry, Bharathiar University, Coimbatore, Tamil Nadu, India.
Rama JayarajClinical Sciences, College of Health and Human Sciences, Charles Darwin University, Darwin, Northern Territory 0909, Australia.ORCID 0000-0002-2179-0510
Bharathiar University · INCharles Darwin University · AUThe University of Adelaide · AUVellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeT-cell acute lymphoblastic leukemia (T-ALL) affects lymphoid cells. Previous studies have reported that miRNAs play a significant role in T-ALL prognosis and have the potential to function as biomarkers in T-ALL. Therefore, this systematic review and meta-analysis study was designed to evaluate the overall prognostic impact of miRNAs in T-ALL patients.

methodsEligible studies published between Jan 2010 and April 2018 were retrieved from online bibliographic databases based on multiple keywords to generate search strings. Meta-analysis was performed using the outcome measure, Hazard Ratio (HR). A survival analysis of all studies was conducted and a subsequent forest plot was generated to evaluate the pooled effect size, across all T-ALL patients. Subgroup analysis was conducted based on demographic characteristics and commonly represented miRNAs among the included studies.

resultsA total of 17 studies were included for systematic review, among which 16 studies were eligible for meta-analysis, which, in total discussed 32 different miRNAs. The mean effect size of HR value was 0.929 (CI 0.878-0984), which indicates a decrease in risk of death by 7.1%. The analysis was based on the random effects model with the heterogeneity measure index (I

conclusionOur systematic review and meta-analysis findings suggest that the overall miRNA expression is potentially associated with a decreased likelihood of death in T-ALL patients. Although our findings are inconclusive, the results point toward miRNA expression allowing for prognostic evaluation of T-ALL patients.

Indexed as

biomarkersmicroRNAsPRISMAprognosissurvival analysis

Identifiers

PMID32104065
PMCPMC7008181
OpenAlexW3004460682

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.