Evidence map›Paper›PMID 31583096›Full record

ArticleClinical kidney journal2019

The assessment of coronary artery disease in patients with end-stage renal disease.

Federica E Poli, Gaurav S Gulsin, Gerry P McCann, James O Burton, Matthew P Graham-Brown

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

Article in Clinical kidney journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Undiagnosed Coronary Artery Disease in Hemodialysis-Initiating Patients.Journal of atherosclerosis and thrombosis · 2025
    Article
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  4. Review
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  18. The reliability and feasibility of non-contrast adenosine stress cardiovascular magnetic resonance T1 mapping in patients on haemodialysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Article
  19. 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

5 authors at 3 institutions in 1 country.

Federica E PoliDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Gaurav S GulsinDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Gerry P McCannDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
James O BurtonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Matthew P Graham-BrownDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
NIHR Leicester Cardiovascular Biomedical Research Unit · GBUniversity of Leicester · GBUniversity Hospitals of Leicester NHS Trust · GB

Funding

Department of Health CS-2013-13-014
6 · The paper itself

Abstract

Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality among patients with end-stage renal disease (ESRD). Clustering of traditional atherosclerotic and non-traditional risk factors drive the excess rates of coronary and non-coronary CVD in patients with ESRD. Coronary artery disease (CAD) is a key disease process, present in ∼50% of the haemodialysis population ≥65 years of age. Patients with ESRD are more likely to be asymptomatic, posing a challenge to the correct identification of CAD, which is essential for appropriate risk stratification and management. Given the lack of randomized clinical trial evidence in this population, current practice is informed by observational data with a significant potential for bias. For this reason, the most appropriate approach to the investigation of CAD is the subject of considerable discussion, with practice patterns largely varying between different centres. Traditional imaging modalities are limited in their diagnostic accuracy and prognostic value for cardiac events and survival in patients with ESRD, demonstrated by the large number of adverse cardiac outcomes among patients with negative test results. This review focuses on the current understanding of CAD screening in the ESRD population, discussing the available evidence for the use of various imaging techniques to refine risk prediction, with an emphasis on their strengths and limitations.

Indexed as

cardiovascularchronic renal failurecoronary artery diseasedialysisESRDischaemia

Identifiers

PMID31583096
PMCPMC6768295
OpenAlexW2967790209

What OpenQuestion holds

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LicenceCC BY-NC
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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.