Evidence map›Paper›PMID 33567117›Full record

ReviewJournal of diabetes investigation2021

High prevalence of fragmented QRS on electrocardiography in Japanese patients with diabetes irrespective of metabolic syndrome.

Kunimasa Yagi, Yoshiki Nagata, Takashi Yamagami, Daisuke Chujo, Miki Kamigishi, Maki Yokoyama-Nakagawa, Masataka Shikata, Asako Enkaku, Akiko Takikawa-Nishida, Hisae Honoki and 3 more

Abstract readReview
In one paragraph

Review in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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  5. Review
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.

Kunimasa Yagi1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.ORCID https://orcid.org/0000-0002-6805-6428
Yoshiki NagataLaboratory of Preventive Medicine, Hokuriku Health Service Association, Toyama, Japan.
Takashi YamagamiLaboratory of Preventive Medicine, Hokuriku Health Service Association, Toyama, Japan.
Daisuke Chujo1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Miki Kamigishi1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Maki Yokoyama-Nakagawa1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Masataka Shikata1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Asako Enkaku1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Akiko Takikawa-Nishida1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Hisae Honoki1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Shiho Fujisaka1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Hideki OrigasaBiostatistics and Clinical Epidemiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Kazuyuki Tobe1st Department of Internal Medicine, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.ORCID https://orcid.org/0000-0003-0015-0255

Funding

Japan Society for the Promotion of Science JP18K08505
6 · The paper itself

Abstract

AIMS/

introductionFragmented QRS (fQRS) on electrocardiography is a marker of myocardial fibrosis and myocardial scar formation. This study aimed to clarify the relationship of fQRS with diabetes mellitus and metabolic syndrome (MetS) in Japanese patients. MATERIALS AND

methodsApproximately 702 individuals who had a routine health checkup at the Hokuriku Health Service Association (Toyama, Japan) in October 2014 were enrolled and categorized into one of the following four groups based on MetS and diabetes mellitus status: with diabetes mellitus (+) MetS+ (164 participants); diabetes mellitus+ without MetS (Mets-; 103 participants); diabetes mellitus- MetS+ (133 participants); and diabetes mellitus- MetS- (302 participants). fQRS was assessed using the results of electrocardiography.

resultsThe prevalence of fQRS was statistically higher in patients with diabetes mellitus+ MetS+ (37%) and diabetes mellitus+ MetS- (35%), than those with diabetes mellitus- MetS+ (14%) or diabetes mellitus- MetS- (10%; P < 0.0001). Significant differences were observed between the fQRS(+) and fQRS(-) groups for age, sex, waist circumference, heart rate, hypertension, hemoglobin A1c, total cholesterol, MetS and diabetes mellitus. The area under the receiver operating characteristic curve for traditional risk factors and diabetes mellitus was 0.72 (P = 0.0007, 95% confidence interval 0.67-0.76), and for traditional risk factors and MetS it was 0.67 (P = 0.28, 95% confidence interval 0.62-0.72). Patients with diabetes mellitus had more than threefold higher likelihood of showing fQRS (odds ratio 3.41; 95% confidence interval 2.25-5.22; P < 0.0001) compared with the reference group without diabetes mellitus, after adjusting for age, sex, dyslipidemia, hypertension and waist circumference.

conclusionsfQRS was observed more frequently in diabetes mellitus patients than in MetS and control individuals. Diabetes mellitus was the most significant determinant for fQRS among MetS and other traditional metabolic risk factors.

Indexed as

Diabetes MellitusDiabetic CardiomyopathiesElectrocardiographyHumansMetabolic SyndromePrognosisDiabetic cardiomyopathyElectrocardiographyFragmented QRS

Identifiers

PMID33567117
PMCPMC8409839

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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.