Evidence map›Paper›PMID 27642609›Full record

ReviewJournal of diabetes research2016

Molecular and Electrophysiological Mechanisms Underlying Cardiac Arrhythmogenesis in Diabetes Mellitus.

Gary Tse, Eric Tsz Him Lai, Vivian Tse, Jie Ming Yeo

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
9.9field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The Effects of Supraphysiological Estrogen Levels Observed During In Vitro Fertilization Treatment on Cardiac Electrophysiology.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Observational
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  11. CaPflugers Archiv : European journal of physiology · 2022
    Review
  12. Observational
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  16. Observational
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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

4 authors at 4 institutions in 3 countries.

Gary TseDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0001-5510-1253
Eric Tsz Him LaiSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.ORCID 0000-0002-8712-0042
Vivian TseDepartment of Physiology, McGill University, Montreal, QC, Canada H3G 1Y6.
Jie Ming YeoSchool of Medicine, Imperial College London, London SW7 2AZ, UK.
Chinese University of Hong Kong · HKImperial College London · GBMcGill University · CAUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a common endocrine disorder with an ever increasing prevalence globally, placing significant burdens on our healthcare systems. It is associated with significant cardiovascular morbidities. One of the mechanisms by which it causes death is increasing the risk of cardiac arrhythmias. The aim of this article is to review the cardiac (ion channel abnormalities, electrophysiological and structural remodelling) and extracardiac factors (neural pathway remodelling) responsible for cardiac arrhythmogenesis in diabetes. It is concluded by an outline of molecular targets for future antiarrhythmic therapy for the diabetic population.

Indexed as

Action PotentialsArrhythmias, CardiacCalciumCardiomyopathiesDeath, Sudden, CardiacDiabetes MellitusHumansIon ChannelsMyocardial IschemiaCalciumIon Channels

Identifiers

PMID27642609
PMCPMC5011530
OpenAlexW2511454140

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.