Evidence map›Paper›PMID 34071189›Full record

ArticleJournal of clinical medicine2021

MiR-126 Is an Independent Predictor of Long-Term All-Cause Mortality in Patients with Type 2 Diabetes Mellitus.

Justyna Pordzik, Ceren Eyileten-Postuła, Daniel Jakubik, Pamela Czajka, Anna Nowak, Salvatore De Rosa, Aleksandra Gąsecka, Agnieszka Cieślicka-Kapłon, Piotr Sulikowski, Krzysztof J Filipiak and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

13 authors at 3 institutions in 3 countries.

Justyna PordzikDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.ORCID 0000-0002-3513-141X
Ceren Eyileten-PostułaDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.
Daniel JakubikDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.
Pamela CzajkaDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.ORCID 0000-0002-0193-0192
Anna NowakDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.ORCID 0000-0001-9158-1055
Salvatore De RosaDivision of Cardiology, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.ORCID 0000-0001-5388-942X
Aleksandra GąseckaDepartment of Cardiology, Medical University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0001-5083-7587
Agnieszka Cieślicka-KapłonDepartment of Cardiology, Medical University of Warsaw, 02-097 Warsaw, Poland.
Piotr SulikowskiDepartment of Computer Science and Information Technology, West Pomeranian University of Technology, 71-210 Szczecin, Poland.ORCID 0000-0002-8704-8925
Krzysztof J FilipiakDepartment of Cardiology, Medical University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0002-6563-0877
Dagmara Mirowska-GuzelDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.
Jolanta M Siller-MatulaDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.ORCID 0000-0001-6041-1635
Marek PostułaDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, 02-097 Warsaw, Poland.ORCID 0000-0002-7826-4458
Medical University of Warsaw · PLMagna Graecia University · ITWest Pomeranian University of Technology in Szczecin · PL

Funding

Polish Ministry of Science and Higher Education 0072/DIA/2017/46
6 · The paper itself

Abstract

MicroRNAs are endogenous non-coding RNAs that are involved in numerous biological processes through regulation of gene expression. The aim of our study was to determine the ability of several miRNAs to predict mortality and response to antiplatelet treatment among T2DM patients. Two hundred fifty-two patients with diabetes were enrolled in the study. Among the patients included, 26 (10.3%) patients died within a median observation time of 5.9 years. The patients were receiving either acetylsalicylic acid (ASA) 75 mg (65%), ASA 150 mg (15%) or clopidogrel (19%). Plasma miR-126, miR-223, miR-125a-3p and Let-7e expressions were assessed by quantitative real time PCR and compared between the patients who survived and those who died. Adjusted Cox-regression analysis was used for prediction of mortality. Differential miRNA expression due to different antiplatelet treatment was analyzed. After including all miRNAs into one multivariate Cox regression model, only miR-126 was predictive of future occurrence of long-term all-cause death (HR = 5.82, 95% CI: 1.3-24.9;

Indexed as

antiplatelet therapycardiovascular diseasediabetesLet-7emicroRNAmiR-125a-3pmiR-126miR-223mortalityplatelet reactivity

Identifiers

PMID34071189
PMCPMC8198825
OpenAlexW3165693653

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.