Evidence map›Paper›PMID 38050604›Full record

ArticleClinical epidemiology2023

Absence of Coronary Artery Disease is a Strong Negative Predictor of Major Adverse Cardiovascular Events in Patients with Chronic Kidney Disease.

Pernille Tilma Tonnesen, Kevin Kris Warnakula Olesen, Pernille Gro Thrane, Christine Gyldenkerne, Christian Daugaard Peters, Niels Henrik Buus, Michael Maeng

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Observational
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

7 authors at 1 institution in 1 country.

Pernille Tilma TonnesenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Kevin Kris Warnakula OlesenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-0560-3615
Pernille Gro ThraneDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-4692-4252
Christine GyldenkerneDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-5904-7063
Christian Daugaard PetersDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-4917-1535
Niels Henrik BuusDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-7972-8181
Michael MaengDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the interplay between chronic kidney disease (CKD) and coronary artery disease (CAD) on the incidence of cardiovascular events in patients with suspected chronic coronary syndrome (CCS). Patients and Methods: Patients with suspected CCS who underwent first-time coronary angiography in Western Denmark between 2003 and 2016 were included in this cohort study. Moreover, an age- and sex-matched general population cohort was established. Patients were stratified according to estimated glomerular filtration rate (eGFR). Presence of CAD was defined as ≥1 obstructive stenosis or non-obstructive diffuse disease. Major adverse cardiovascular events (MACE) were defined as a composite of myocardial infarction, ischemic stroke, and cardiac death. Results: A total of 42,611 patients were included with a median follow-up of 7.3 years. Patients without and with CAD had MACE rates per 100 person-years that were 0.52 and 1.67 for eGFR ≥90 mL/min/1.73 m Conclusion: Absence of CAD is a strong negative predictor of major adverse cardiovascular events in patients with CKD.

Indexed as

chronic coronary syndromechronic kidney diseasecoronary angiographycoronary artery diseasekidney functionrenal insufficiency

Identifiers

PMID38050604
PMCPMC10693773
OpenAlexW4389149026

What OpenQuestion holds

Textmetadata
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.