Evidence map›Paper›PMID 33962973›Full record

ArticleBMJ open diabetes research & care2021

Long-term mortality among kidney transplant recipients with and without diabetes: a nationwide cohort study in the USA.

Jessica L Harding, Meda Pavkov, Zhensheng Wang, Stephen Benoit, Nilka Ríos Burrows, Giuseppina Imperatore, Ann L Albright, Rachel Patzer

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Better kidney allograft survival despite higher-risk donor and recipient characteristics between 1995 and 2014.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jessica L HardingDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA jessica.harding@emory.edu.ORCID 0000-0002-6664-8630
Meda PavkovDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Zhensheng WangDepartment of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA.
Stephen BenoitDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Nilka Ríos BurrowsDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Giuseppina ImperatoreDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Ann L AlbrightDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Rachel PatzerDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · USEmory University · US

Funding

Reducing Racial Disparities in Access to Kidney Transplantation: the RaDIANT Regional StudyU01MD010611 · NIMHD · EMORY UNIVERSITY · PI PATZER, RACHEL E · 2016 to 2020
$2.8M
NIMHD NIH HHS U01 MD010611
6 · The paper itself

Abstract

introductionLittle is known about the role diabetes (type 1 (T1D) and type 2 (T2D)) plays in modifying prognosis among kidney transplant recipients. Here, we compare mortality among transplant recipients with T1D, T2D and non-diabetes-related end-stage kidney disease (ESKD). RESEARCH DESIGN AND

methodsWe included 254 188 first-time single kidney transplant recipients aged ≥18 years from the US Renal Data System (2000-2018). Diabetes status, as primary cause of ESKD, was defined using International Classification of Disease 9th and 10th Clinical Modification codes. Multivariable-adjusted Cox regression models (right-censored) computed risk of death associated with T1D and T2D relative to non-diabetes. Trends in standardized mortality ratios (SMRs) (2000-2017), relative to the general US population, were assessed using Joinpoint regression.

resultsA total of 72 175 (28.4%) deaths occurred over a median survival time of 14.6 years. 5-year survival probabilities were 88%, 85% and 77% for non-diabetes, T1D and T2D, respectively. In adjusted models, mortality was highest for T1D (HR=1.95, (95% CI: 1.88 to 2.03)) and then T2D (1.65 (1.62 to 1.69)), as compared with non-diabetes. SMRs declined for non-diabetes, T1D, and T2D. However, in 2017, SMRs were 2.38 (2.31 to 2.45), 6.55 (6.07 to 7.06), and 3.82 (3.68 to 3.98), for non-diabetes, T1D and T2D, respectively.

conclusionsIn the USA, diabetes type is an important modifier in mortality risk among kidney transplant recipients with highest rates among people with T1D-related ESKD. Development of effective interventions that reduce excess mortality in transplant recipients with diabetes is needed, especially for T1D.

Indexed as

Diabetes MellitusKidney Failure, ChronicKidney TransplantationAdolescentAdultCohort StudiesHumansTransplant RecipientsUnited Statesdiabetes mellitus type 1diabetes mellitus type 2epidemiologykidney transplantation

Identifiers

PMID33962973
PMCPMC8108684
OpenAlexW3157669491

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.