Evidence map›Paper›PMID 32661630›Full record

Observational studyInternational urology and nephrology2020

Myocardial ischemia by radionuclide imaging and long-term outcomes after kidney transplantation.

Sanmay Low, Horng-Ruey Chua, Raymond Wong, Angeline Goh, Yue-Harn Ng, Boon-Wee Teo, Anantharaman Vathsala

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International urology and nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Sanmay LowDepartment of Medicine, Level 10 Medicine Office, National University Centre for Organ Transplantation, National University Hospital, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Republic of Singapore.
Horng-Ruey ChuaDepartment of Medicine, Level 10 Medicine Office, National University Centre for Organ Transplantation, National University Hospital, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Republic of Singapore. horng_ruey_chua@nuhs.edu.sg.ORCID http://orcid.org/0000-0003-1379-0585
Raymond WongDepartment of Cardiology, National University Heart Centre, National University Hospital, Singapore, Singapore.
Angeline GohDepartment of Medicine, Level 10 Medicine Office, National University Centre for Organ Transplantation, National University Hospital, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Republic of Singapore.
Yue-Harn NgDepartment of Medicine, Level 10 Medicine Office, National University Centre for Organ Transplantation, National University Hospital, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Republic of Singapore.
Boon-Wee TeoDepartment of Medicine, Level 10 Medicine Office, National University Centre for Organ Transplantation, National University Hospital, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Republic of Singapore.
Anantharaman VathsalaDepartment of Medicine, Level 10 Medicine Office, National University Centre for Organ Transplantation, National University Hospital, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Republic of Singapore.
National University of Singapore · SGNational University Hospital · SGNg Teng Fong General Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe examined the incidence of myocardial ischemia (MI) in kidney transplant recipients (KTR) using myocardial perfusion imaging (MPI), and its association with long-term outcomes after transplantation.

methodsA retrospective observational study was conducted of asymptomatic KTRs who underwent post-transplant MPI screening for MI, as defined by moderate to severe myocardial perfusion defects, post-stress myocardial stunning or balanced ischemia. A composite outcome of all-cause mortality, graft loss, and major adverse cardiovascular events (MACE) was examined over minimum 5 years.

resultsWe studied 135 KTRs who underwent 226 MPIs, with follow-up duration of 10 (7-13) years. 110 (81%) patients had normal MPIs, 11 (8%) had mild perfusion defects, and 14 (10%) had MI. Correspondingly, composite outcome developed in 6%, 27%, and 43% (p = 0.04), and MACE occurred in 7%, 0%, and 21% (p = 0.11), of the respective subgroups. Twenty-six patients developed the composite outcome after 5 (3-7) years post-transplantation, including 11 patients with MACE. On multivariate analysis, MI, higher low-density lipoprotein levels, and proteinuria > 0.3 g/day independently predicted the composite outcome; only MI predicted MACE (all p < 0.05). Ninety-one patients had two serial MPIs, which increased the positive predictive value for MACE from 17 to 25%. Absence of MI had negative predictive value of 83% for MACE and 93% for the composite outcome.

conclusionMI that is detected early post-kidney transplantation predicts long-term mortality, graft loss, and MACE in KTRs, with excellent negative but poor positive predictive values.

Indexed as

Kidney TransplantationMyocardial Perfusion ImagingAdultFemaleHumansIncidenceMaleMiddle AgedMyocardial IschemiaPostoperative ComplicationsRetrospective StudiesTime FactorsTreatment OutcomeFollow-up studiesHeartKidney transplantationMyocardial ischemiaMyocardial perfusion imagingRisk assessment

Identifiers

PMID32661630
OpenAlexW3042664485

What OpenQuestion holds

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Registered trials

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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.