Evidence map›Paper›PMID 33666870›Full record

ReviewJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Cardiac imaging for the assessment of patients being evaluated for kidney transplantation.

Kameel Kassab, Rami Doukky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impact of change of ischemic burden on the outcomes of ESRD patients awaiting kidney transplantation.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Article
  6. The prognostic and diagnostic implications of surveillance serial myocardial perfusion imaging in asymptomatic renal transplant candidates.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  7. 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

2 authors.

Kameel KassabDivision of Cardiology, Cook County Health, 1901 W. Harrison St., Suite 3620, Chicago, IL, 60612, USA.
Rami DoukkyDivision of Cardiology, Cook County Health, 1901 W. Harrison St., Suite 3620, Chicago, IL, 60612, USA. rami_doukkt@rush.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac risk assessment before kidney transplantation has become widely accepted. However, the optimal patient selection and screening tool for cardiac assessment remain controversial. Clinicians face several challenges in this process, including the ever-growing pre-transplant population, aging transplant candidates, increasing prevalence of coronary artery disease, and scarcity of donor organs. Optimizing the cardiovascular risk profile in kidney transplant candidates is necessary to better appropriate limited donor organs and improve patient outcomes. Increasing waiting times from the initial evaluation for transplant candidacy to the actual transplant raises questions regarding re-testing and re-stratification of risk. In this review, we summarize and discuss the current literature on cardiac evaluation prior to kidney transplantation. We also propose simple evidence-based evaluation algorithms for initial and follow-up CAD surveillance in patients being wait-listed for kidney transplantation.

Indexed as

Coronary Artery DiseaseKidney Failure, ChronicKidney TransplantationHeartHumansPatient SelectionRisk AssessmentCADDiagnostic and prognostic applicationMultimodality

Identifiers

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.