Evidence map›Paper›PMID 29055603›Full record

ArticleThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2017

End-stage renal disease after pediatric heart transplantation: A 25-year national cohort study.

Swati Choudhry, Vikas R Dharnidharka, Chesney D Castleberry, Charles W Goss, Kathleen E Simpson, Kenneth B Schechtman, Charles E Canter

Abstract read
In one paragraph

Article in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Cardiorenal syndrome: evolving concepts and pediatric knowledge gaps.Pediatric nephrology (Berlin, Germany) · 2025
    Review
  3. Article
  4. Subsequent kidney transplant after pediatric heart transplant: Prevalence and risk factors.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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 1 institution in 1 country.

Swati ChoudhryDepartment of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Vikas R DharnidharkaDepartment of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Chesney D CastleberryDepartment of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Charles W GossDepartment of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Kathleen E SimpsonDepartment of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Kenneth B SchechtmanDepartment of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, Missouri.
Charles E CanterDepartment of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, Missouri. Electronic address: canter@wustl.edu.
Washington University in St. Louis · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Choosing Immune Suppression in Renal Transplantation by Efficacy and MorbidityR01DK102981 · NIDDK · WASHINGTON UNIVERSITY · PI DHARNIDHARKA, VIKAS R. · 2014 to 2018
$1.9M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIDDK NIH HHS R01 DK102981
6 · The paper itself

Abstract

backgroundEnd-stage renal disease (ESRD), defined as the need for chronic dialysis and/or kidney transplantation (KTx), is a known complication after heart transplant (HTx). However, factors associated with ESRD are not well elucidated. The objectives of this study were to determine the prevalence, risk factors, and outcomes associated with ESRD after pediatric HTx.

methodsScientific Registry of Transplant Recipients data were linked, using direct identifiers, to the United States Renal Data System to identify patients (aged ≤ 18 years) who underwent primary HTx between 1989 and 2013. Risk factors for ESRD and death were analyzed using Cox regression analysis.

resultsCombining the above 2 databases identified ~25% additional HTx patients who developed ESRD that were not captured by either database alone. During a median follow-up of 11.8 years, ESRD developed in 276 of 6,901 patients (4%). The actuarial risk of developing ESRD after HTx was 3% at 10 years and 16% at 20 years. Age at HTx > 1 year, African-American race, year of HTx before 2000, hypertension, diabetes mellitus, re-HTx, acute dialysis, graft failure, and hospitalized infection were significant risk factors for ESRD development. Those who remained on chronic dialysis had higher risk of death than those who received KTx (hazard ratio, 31.4; 95% confidence interval, 20.8-48.4; p < 0.0001).

conclusionsESRD after pediatric HTx is more prevalent in HTx survivors than documented by a transplant database alone. A number of factors develop at or after HTx that increase the risk for developing ESRD. Use of KTx in post-HTx ESRD is associated with improved survival.

Indexed as

dialysisend-stage renal diseasekidney transplantpediatric heart transplantrisk factors

Identifiers

PMID29055603
PMCPMC5880747
OpenAlexW2762620533

What OpenQuestion holds

Textmetadata
LicenceTDM
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.