Evidence map›Paper›PMID 33094277›Full record

ReviewKidney medicine

Cardiac Imaging in Dialysis Patients.

Jeff Kott, Nathaniel Reichek, Javed Butler, Leonard Arbeit, Sandeep K Mallipattu

Open access · goldAbstract readReview
In one paragraph

Review in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Randomized trial comparing standard versus thermocontrolled haemodialysis using intradialytic cardiac, brain and renal magnetic resonance imaging.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Trial
  2. Observational
  3. Article
  4. Review
  5. 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

5 authors at 3 institutions in 1 country.

Jeff KottDivision of Nephrology, Department of Medicine, Stony Brook University, Stony Brook, NY.
Nathaniel ReichekCardiac Imaging Program and Research Department, St. Francis Hospital-The Heart Center, Roslyn, NY.
Javed ButlerDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS.
Leonard ArbeitDivision of Nephrology, Department of Medicine, Stony Brook University, Stony Brook, NY.
Sandeep K MallipattuDivision of Nephrology, Department of Medicine, Stony Brook University, Stony Brook, NY.
Stony Brook University · USSt. Francis Hospital · USUniversity of Mississippi Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a well-established yet unexplained high prevalence of cardiovascular morbidity and mortality in individuals with end-stage kidney disease receiving dialysis. Potential causes include changes in cardiac structure and function, with increased left ventricular mass index as the best established cardiac structural change associated with this increase in mortality. However, in recent years, new echocardiographic and cardiac magnetic resonance imaging techniques have emerged that may provide novel markers that may better explain the mechanisms underlying the cardiovascular morbidity and mortality observed in end-stage kidney disease. This review outlines advances in cardiac imaging and the current status of imaging modalities, including echocardiography, cardiac magnetic resonance imaging, and cardiac positron emission tomography, to identify dialysis patients at high risk for cardiovascular mortality.

Indexed as

EchocardiographyESKDimagingkidney diseaseMRI

Identifiers

PMID33094277
PMCPMC7568079
OpenAlexW3046899919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.