Evidence map›Paper›PMID 30085289›Full record

ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2019

The potential of electrocardiography for cardiac risk prediction in chronic and end-stage kidney disease.

Sofia Skampardoni, Dimitrios Poulikakos, Marek Malik, Darren Green, Philip A Kalra

Erratum issuedOpen access · greenAbstract readReview
In one paragraph

Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Association of circulating cardiac biomarkers with electrocardiographic abnormalities in chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  10. Article
  11. Review
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Sofia SkampardoniFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Dimitrios PoulikakosFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Marek MalikNational Heart and Lung Institute, Imperial College, London, UK.
Darren GreenFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Philip A KalraFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
University of Manchester · GBImperial College London · GB

Funding

British Heart Foundation NH/16/2/32499
6 · The paper itself

Abstract

Cardiovascular mortality is very high in chronic and end-stage kidney disease (ESKD). However, risk stratification data are lacking. Sudden cardiac deaths are among the most common cardiovascular causes of death in these populations. As a result, many studies have assessed the prognostic potential of various electrocardiographic parameters in the renal population. Recent data from studies of implantable loop recordings in haemodialysis patients from five different countries have shed light on a pre-eminent bradyarrhythmic risk of mortality. Importantly, heart block addressed by permanent pacing system was detected in a proportion of patients during the prolonged recording periods. Standard electrocardiogram is inexpensive, non-invasive and easily accessible. Hence, risk prediction models using this simple investigation tool could easily translate into clinical practice. We believe that electrocardiographic assessment is currently under-valued in renal populations. For this review, we identified studies from the preceding 10 years that assessed the use of conventional and novel electrocardiographic biomarkers as risk predictors in chronic and ESKD. The review indicates that conventional electrocardiographic markers are not reliable for risk stratification in the renal populations. Novel parameters have shown promising results in smaller studies, but further validation in larger populations is required.

Indexed as

Cardiovascular DiseasesElectrocardiographyGlobal HealthHumansKidney Failure, ChronicMorbidityPredictive Value of TestsRisk FactorscardiovascularCKDECGESRD

Identifiers

PMID30085289
PMCPMC6603366
OpenAlexW2885050374

What OpenQuestion holds

Textmetadata
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.