Evidence map›Paper›PMID 35092353›Full record

ArticleJournal of diabetes investigation2022

Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes.

Kunimasa Yagi, Teruhiko Imamura, Hayato Tada, Jianhui Liu, Yukiko Miyamoto, Azusa Ohbatake, Naoko Ito, Masataka Shikata, Asako Enkaku, Akiko Takikawa and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 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

16 authors at 2 institutions in 1 country.

Kunimasa Yagi1st Department of Internal Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0002-6805-6428
Teruhiko Imamura2nd Department of Internal Medicine, University of Toyama, Toyama, Japan.
Hayato Tada2nd Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Jianhui Liu1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Yukiko Miyamoto2nd Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Azusa Ohbatake2nd Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Naoko Ito2nd Department of Internal Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan.
Masataka Shikata1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Asako Enkaku1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Akiko Takikawa1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Hisae Honoki1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Shiho Fujisaka1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Daisuke Chujo1st Department of Internal Medicine, University of Toyama, Toyama, Japan.
Hideki OrigasaBiostatistics and Clinical Epidemiology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan.
Koichiro Kinugawa2nd Department of Internal Medicine, University of Toyama, Toyama, Japan.
Kazuyuki Tobe1st Department of Internal Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0003-0015-0255
University of Toyama · JPKanazawa University · JP

Funding

JSPS KAKENHI JP18K08505JSPS KAKENHI JP21K10300
6 · The paper itself

Abstract

AIMS/

introductionDiastolic cardiac dysfunction in type 2 diabetes (DD2D) is a critical risk of heart failure with preserved ejection fraction. However, there is no established biomarker to detect DD2D. We aimed to investigate the predictive impact of fragmented QRS (fQRS) on electrocardiography on the existence of DD2D. MATERIALS AND

methodsWe included in-hospital patients with type 2 diabetes without heart failure symptoms who were admitted to our institution for glycemic management between November 2017 and April 2021. An fQRS was defined as an additional R' wave or notching/splitting of the S wave in two contiguous electrocardiography leads. DD2D was diagnosed according to the latest guidelines of the American Society of Echocardiography.

resultsOf 320 participants, 122 patients (38.1%) had fQRS. DD2D was diagnosed in 82 (25.6%). An fQRS was significantly associated with the existence of DD2D (odds ratio 4.37, 95% confidence interval 2.33-8.20; p < 0.0001) adjusted for seven potential confounders. The correlation between DD2D and diabetic microvascular disease was significant only among those with fQRS. Classification and regression tree analysis showed that fQRS was the most relevant optimum split for DD2D.

conclusionsAn fQRS might be a simple and promising predictor of the existence of DD2D. The findings should be validated in a larger-scale cohort.

Indexed as

Diabetes Mellitus, Type 2Heart DiseasesHeart FailureElectrocardiographyHeartHumansDiabetic microvascular diseasesDiastolic cardiac dysfunctionFragmented QRS

Identifiers

PMID35092353
PMCPMC9153843
OpenAlexW4210587583

What OpenQuestion holds

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LicenceCC BY-NC
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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.