Evidence map›Paper›PMID 32716472›Full record

ArticleJornal brasileiro de nefrologia

Prevalence of abnormalities in electrocardiogram conduction in dialysis patients: a comparative study.

Firas Ajam, Arda Akoluk, Anas Alrefaee, Natasha Campbell, Avais Masud, Sushil Mehandru, Mayukumar Patel, Arif Asif, Michael P Carson

Open access · diamondAbstract read
In one paragraph

Article in Jornal brasileiro de nefrologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Firas AjamJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Arda AkolukJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Anas AlrefaeeJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.ORCID http://orcid.org/0000-0002-1930-9759
Natasha CampbellJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Avais MasudJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Sushil MehandruJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Mayukumar PatelJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Arif AsifJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Michael P CarsonJersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.ORCID http://orcid.org/0000-0001-5239-8944
Jersey Shore University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe electrocardiogram (ECG) can aid in identification of chronic kidney disease (CKD) patients at high risk for cardiovascular diseases. Cohort studies describe ECG abnormalities in patients on hemodialysis (HD), but we did not find data comparing ECG abnormalities among patients with normal kidney function or peritoneal dialysis (PD) to those on hemodialysis. We hypothesized that ECG conduction abnormalities would be more common, and cardiac conduction interval times longer, among patients on hemodialysis vs. those on peritoneal dialysis and CKD 1 or 2.

methodsRetrospective review of adult inpatients' charts, comparing those with billing codes for "Hemodialysis" vs. inpatients without those charges, and an outpatient peritoneal dialysis cohort. Patients with CKD 3 or 4 were excluded.

resultsOne hundred and sixty-seven charts were reviewed. ECG conduction intervals were consistently and statistically longer among hemodialysis patients (n=88) vs. peritoneal dialysis (n=22) and CKD stage 1 and 2 (n=57): PR (175±35 vs 160±44 vs 157±22 msec) (p=0.009), QRS (115±32 vs. 111±31 vs 91±18 msec) (p=0.001), QT (411±71 vs. 403±46 vs 374±55 msec) (p=0.006), QTc (487±49 vs. 464±38 vs 452±52 msec) (p=0.0001). The only significantly different conduction abnormality was prevalence of left bundle branch block: 13.6% among HD patients, 5% in PD, and 2% in CKD 1 and 2 (p=0.03).

conclusionTo our knowledge, this is the first study to report that ECG conduction intervals are significantly longer as one progresses from CKD Stage 1 and 2, to PD, to HD. These and other data support the need for future research to utilize ECG conduction times to identify dialysis patients who could potentially benefit from proactive cardiac evaluations and risk reduction.

Indexed as

Kidney Failure, ChronicRenal DialysisElectrocardiographyHumansPrevalenceRetrospective Studies

Identifiers

PMID32716472
PMCPMC7860647
OpenAlexW3044833107

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.