Evidence map›Paper›PMID 36143060›Full record

ArticleJournal of clinical medicine2022

Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease.

Sejun Park, Yunjin Yum, Jung-Joon Cha, Hyung Joon Joo, Jae Hyoung Park, Soon Jun Hong, Cheol Woong Yu, Do-Sun Lim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05726071 (Electrocardiograph Changes and Holter Abnormalities in Children With Predialytic Chronic Kidney Disease), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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.

NCT05726071 unknown statusnot on this map

Electrocardiograph Changes and Holter Abnormalities in Children With Predialytic Chronic Kidney Disease

TypeobservationalSponsorSohag UniversityRan2022 to 2023Enrolled50ConditionsPredialytic Chronic Kidney DiseaseArmsHolter
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Sejun ParkDepartment of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Korea.ORCID 0000-0001-7060-5919
Yunjin YumDepartment of Biostatistics, Korea University College of Medicine, Seoul 02841, Korea.
Jung-Joon ChaDepartment of Internal Medicine, Division of Cardiology, Korea University Anam Hospital, Seoul 02841, Korea.ORCID 0000-0002-8299-1877
Hyung Joon JooDepartment of Internal Medicine, Division of Cardiology, Korea University Anam Hospital, Seoul 02841, Korea.ORCID 0000-0003-1846-8464
Jae Hyoung ParkDepartment of Internal Medicine, Division of Cardiology, Korea University Anam Hospital, Seoul 02841, Korea.
Soon Jun HongDepartment of Internal Medicine, Division of Cardiology, Korea University Anam Hospital, Seoul 02841, Korea.
Cheol Woong YuDepartment of Internal Medicine, Division of Cardiology, Korea University Anam Hospital, Seoul 02841, Korea.ORCID 0000-0002-5871-4562
Do-Sun LimDepartment of Internal Medicine, Division of Cardiology, Korea University Anam Hospital, Seoul 02841, Korea.
Korea University · KR

Funding

Seokchunnanum Foundation SCY2106P
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients with CKD (stages 3−5) who underwent ECG between 2013 and 2015 were selected from the electronic health record database of the Korea University Anam Hospital. ECG abnormalities were defined using the Minnesota classification. The five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke were analyzed. The five-year incidences for MACCE were 27.7%, 20.8%, and 17.2% in patients with no, minor, and major ECG abnormality (p < 0.01). Kaplan−Meier curves also showed the highest incidence of MI, death, and MACCE in patients with major ECG abnormality. Multivariable Cox regression analysis revealed age, sex, diabetes, CKD stage, hsCRP, antipsychotic use, and major ECG abnormality as independent risk predictors for MACCE (adjusted HR of major ECG abnormality: 1.39, 95% CI: 1.09−1.76, p < 01). Among the detailed ECG diagnoses, sinus tachycardia, myocardial ischemia, atrial premature complex, and right axis deviation were proposed as important ECG diagnoses. The accuracy of cardiovascular risk stratification was improved when the ECG results were added to the conventional SCORE model (net reclassification index 0.07). ECG helps to predict future cerebrocardiovascular events in CKD patients. ECG diagnosis can be useful for cardiovascular risk evaluation in CKD patients when applied in addition to the conventional risk stratification model.

Indexed as

chronic kidney diseaseelectrocardiogrammajor adverse cerebrocardiovascular events

Identifiers

PMID36143060
PMCPMC9506179
OpenAlexW4296281568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.