Evidence map›Paper›PMID 38084711›Full record

ArticleJournal of the American Heart Association2023

External Validation of Proposed American Heart Association Algorithm for Cardiovascular Screening Before Kidney Transplantation.

Marie Bodilsen Nielsen, Jonathan Nørtoft Dahl, Bente Jespersen, Per Ivarsen, Henrik Birn, Simon Winther

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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
–field-weighted citation impact
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.

  1. Article
  2. 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

6 authors.

Marie Bodilsen NielsenDepartment of Biomedicine Aarhus University Aarhus Denmark.ORCID 0000-0003-3587-6638
Jonathan Nørtoft DahlDepartment of Cardiology, Gødstrup Hospital Herning Denmark.ORCID 0000-0001-5574-3926
Bente JespersenDepartment of Renal Medicine Aarhus University Hospital Aarhus Denmark.ORCID 0000-0001-7196-2870
Per IvarsenDepartment of Renal Medicine Aarhus University Hospital Aarhus Denmark.
Henrik BirnDepartment of Biomedicine Aarhus University Aarhus Denmark.
Simon WintherDepartment of Cardiology, Gødstrup Hospital Herning Denmark.ORCID 0000-0001-8872-3681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening for cardiovascular disease is currently recommended before kidney transplantation. The present study aimed to validate the proposed algorithm by the American Heart Association (AHA-2022) considering cardiovascular findings and outcomes in kidney transplant candidates, and to compare AHA-2022 with the previous recommendation (AHA-2012). METHODS AND

resultsWe applied the 2 screening algorithms to an observational cohort of kidney transplant candidates (n=529) who were already extensively screened for coronary heart disease by referral to cardiac computed tomography between 2014 and 2019. The cohort was divided into 3 groups as per the AHA-2022 algorithm, or into 2 groups as per AHA-2012. Outcomes were degree of coronary heart disease, revascularization rate following screening, major adverse cardiovascular events, and all-cause death. Using the AHA-2022 algorithm, 69 (13%) patients were recommended for cardiology referral, 315 (60%) for cardiac screening, and 145 (27%) no further screening. More patients were recommended cardiology referral or screening compared with the AHA-2012 (73% versus 53%;

conclusionsThe AHA-2022 algorithm allocates more patients for cardiac referral and screening compared with AHA-2012. Furthermore, the AHA-2022 algorithm effectively discriminates between kidney transplant candidates at high, intermediate, and low risk with respect to major adverse cardiovascular events and all-cause death.

Indexed as

Cardiovascular DiseasesCoronary DiseaseKidney TransplantationAlgorithmsAmerican Heart AssociationHumansRisk FactorsUnited Statescardiovascular diseasecoronary heart diseasekidney transplantationrevascularizationscreening

Identifiers

PMID38084711
PMCPMC10863782

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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.