Evidence map›Paper›PMID 34036426›Full record

Observational studyClinical research in cardiology : official journal of the German Cardiac Society2021

Sex-specific differences and long-term outcome of patients with coronary artery disease and chronic kidney disease: the Coronary Artery Disease and Renal Failure (CAD-REF) Registry.

Christiane Engelbertz, Hans O Pinnschmidt, Eva Freisinger, Holger Reinecke, Boris Schmitz, Manfred Fobker, Roland E Schmieder, Karl Wegscheider, Günter Breithardt, Hermann Pavenstädt and 1 more

Registry-linked trialOpen access · hybridAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Clinical research in cardiology : official journal of the German Cardiac Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00679419 (Coronary Artery Disease and Renal Failure Registry), 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
0.8field-weighted citation impact, top 27% 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.

NCT00679419 unknown statusnot on this map

Coronary Artery Disease and Renal Failure Registry

TypeobservationalSponsorInstitut für Klinisch-Kardiovaskuläre Forschung GmbHRan2007 to 2013Enrolled3,352ConditionsCoronary Artery Disease, Renal Failure
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 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

11 authors at 3 institutions in 2 countries.

Christiane Engelbertz *Department of Cardiology I - Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Cardiol, Muenster, Germany.ORCID http://orcid.org/0000-0002-2685-5117
Hans O Pinnschmidt *Department of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Eva FreisingerDepartment of Cardiology I - Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Cardiol, Muenster, Germany.
Holger ReineckeDepartment of Cardiology I - Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Cardiol, Muenster, Germany.
Boris SchmitzInstitute of Sports Medicine, Molecular Genetics of Cardiovascular Disease, University Hospital Muenster, Muenster, Germany.
Manfred FobkerCenter of Laboratory Medicine, University Hospital Muenster, Muenster, Germany.
Roland E SchmiederDepartment of Nephrology and Hypertension, University of Erlangen-Nuernberg, Erlangen, Germany.
Karl WegscheiderDepartment of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Günter BreithardtDepartment of Cardiology I - Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Cardiol, Muenster, Germany.
Hermann PavenstädtDepartment of Nephrology, Hypertension, and Rheumatology, University Hospital Muenster, Muenster, Germany.
Eva BrandDepartment of Nephrology, Hypertension, and Rheumatology, University Hospital Muenster, Muenster, Germany. eva.brand@ukmuenster.de.
University Hospital Münster · DEUniversität Hamburg · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

Bundesministerium für Bildung und Forschung 01GI0701
6 · The paper itself

Abstract

backgroundCardiovascular morbidity and mortality are closely linked to chronic kidney disease (CKD). Sex-specific long-term outcome data of patients with coronary artery disease (CAD) and CKD are scarce.

methodsIn the prospective observational multicenter Coronary Artery Disease and REnal Failure (CAD-REF) Registry, 773 (23.1%) women and 2,579 (76.9%) men with angiographically documented CAD and different stages of CKD were consecutively enrolled and followed for up to 8 years. Long-term outcome was evaluated using survival analysis and multivariable Cox-regression models.

resultsAt enrollment, women were significantly older than men, and suffered from more comorbidities like CKD, hypertension, diabetes mellitus, and multivessel coronary disease. Regarding long-term mortality, no sex-specific differences were observed (Kaplan-Meier survival estimates: 69% in women vs. 69% in men, p

conclusionsSex differences in CAD patients mainly exist in the cardiovascular risk profile and the extent of CAD. Long-term mortality was not depended on sex or multivessel disease. More attention should be given to treatment of comorbidities such as CKD and peripheral artery disease being independent predictors of death. Clinical Trail Registration ClinicalTrials.gov Identifier: NCT00679419.

Indexed as

AgedCoronary AngiographyCoronary Artery DiseaseFemaleFollow-Up StudiesHeart Disease Risk FactorsHumansMaleMiddle AgedProspective StudiesRegistriesRenal Insufficiency, ChronicSex FactorsChronic kidney diseaseCoronary artery diseaseLong-term mortalitySexTreatment

Identifiers

PMID34036426
PMCPMC8484247
OpenAlexW3164162274

What OpenQuestion holds

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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.