Evidence map›Paper›PMID 20415903›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2010

Predicting coronary heart disease after kidney transplantation: Patient Outcomes in Renal Transplantation (PORT) Study.

A K Israni, J J Snyder, M A Skeans, Y Peng, J R Maclean, E D Weinhandl, B L Kasiske, PORT Investigators

3 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
7.5field-weighted citation impact, top 2% 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.

NCT04608474 phase4completedstarted 2021, after this paper: background citation

Lipid Management in Renal Transplant Recipients: a Pilot Study Evaluating the Use of a Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK-9) Inhibitor Evolocumab.

Ran2021Enrolled81Registered outcomes3Posted comparisons0ConditionsHyperlipidemiasArmsEvolocumab
Open the trial in the graph
NCT02058875 phase4withdrawnnot on this mapstarted 2014, after this paper: background citation

Comparisons Of Inflammatory Biomarkers And Cardiovascular Risk Scores Before And After Conversion To Full Dose Myfortic® Using Two Hour Neoral® Monitoring.

TypeinterventionalSponsorUniversity of SaskatchewanRan2014 to 2015Enrolled0ConditionsCardiovascular Disease, Cardiovascular Outcomes, Kidney Transplant Recipients, Kidney TransplantationArmsMyfortic®, Neoral®, Cellcept®, Prednisone
NCT03612778 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Nutritional Intervention for Management of Cardiovascular Risk Factors in Kidney Transplant Patients

TypeinterventionalSponsorUniversity Medical Centre LjubljanaRan2018 to 2019Enrolled86ConditionsKidney Transplant, ComplicationsArmsPlant-based diet, Mediterranean diet
3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 3 syntheses or guidelines pooled it, 186 citations in OpenAlex.

  1. Prognostic impact of post-transplant diabetes mellitus in kidney allograft recipients: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. The Effect of MarineNutrients · 2019
    Trial
  6. Filtration Markers, Cardiovascular Disease, Mortality, and Kidney Outcomes in Stable Kidney Transplant Recipients: The FAVORIT Trial.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2017
    Trial
  7. Trial
  8. Kidney function and risk of cardiovascular disease and mortality in kidney transplant recipients: the FAVORIT trial.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2012
    Trial
  9. Trial
  10. Article
  11. Article
  12. New kidneys, old risks: cardiovascular challenges after transplantation.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

A K IsraniDepartment of Medicine, Hennepin County Medical Center, University of Minnesota, Minneapolis, MN, USA.
J J Snyder
M A Skeans
Y Peng
J R Maclean
E D Weinhandl
B L Kasiske
PORT Investigators
Orthopaedic Research Foundation · USBristol-Myers Squibb (United States) · USUniversity of Minnesota · US

Funding

Polyomavirus and Mentoring in Renal TransplantationK24DK002886 · NIDDK · WASHINGTON UNIVERSITY · PI BRENNAN, DANIEL CONLON · 2003 to 2012
$1.5M
NIDDK NIH HHS K24 DK002886
6 · The paper itself

Abstract

Traditional risk factors do not adequately explain coronary heart disease (CHD) risk after kidney transplantation. We used a large, multicenter database to compare traditional and nontraditional CHD risk factors, and to develop risk-prediction equations for kidney transplant patients in standard clinical practice. We retrospectively assessed risk factors for CHD (acute myocardial infarction, coronary artery revascularization or sudden death) in 23,575 adult kidney transplant patients from 14 transplant centers worldwide. The CHD cumulative incidence was 3.1%, 5.2% and 7.6%, at 1, 3 and 5 years posttransplant, respectively. In separate Cox proportional hazards analyses of CHD in the first posttransplant year (predicted at time of transplant), and predicted within 3 years after a clinic visit occurring in posttransplant years 1-5, important risk factors included pretransplant diabetes, new onset posttransplant diabetes, prior pre- and posttransplant cardiovascular disease events, estimated glomerular filtration rate, delayed graft function, acute rejection, age, sex, race and duration of pretransplant end-stage kidney disease. The risk-prediction equations performed well, with the time-dependent c-statistic greater than 0.75. Traditional risk factors (e.g. hypertension, dyslipidemia and cigarette smoking) added little additional predictive value. Thus, transplant-related risk factors, particularly those linked to graft function, explain much of the variation in CHD after kidney transplantation.

Indexed as

AdultCardiovascular DiseasesCoronary DiseaseDiabetes MellitusFemaleGlomerular Filtration RateHumansHypertensionIncidenceKidneyKidney Failure, ChronicKidney TransplantationMaleOutcome Assessment, Health CareRisk Factors

Identifiers

PMID20415903
OpenAlexW2039789414

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.