Evidence map›Paper›PMID 26588010›Full record

ArticleTransplantation2016

Racial Differences in Survival of Incident Home Hemodialysis and Kidney Transplant Patients.

Miklos Z Molnar, Vanessa Ravel, Elani Streja, Csaba P Kovesdy, Rajnish Mehrotra, Kamyar Kalantar-Zadeh

Abstract read
In one paragraph

Article in Transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Transition of care from pre-dialysis prelude to renal replacement therapy: the blueprints of emerging research in advanced chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    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

6 authors.

Miklos Z Molnar1 Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN. 2 Division of Nephrology, University of California, Irvine, CA. 3 Nephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN. 4 Department of Medicine, Division of Nephrology, Harborview Medical Center and Kidney Research Institute, University of Washington, Seattle, WA. 5 Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA.
Vanessa Ravel
Elani Streja
Csaba P Kovesdy
Rajnish Mehrotra
Kamyar Kalantar-Zadeh

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Comparative Effectiveness of Dialysis ModalitiesR01DK095668 · NIDDK · UNIVERSITY OF WASHINGTON · PI KALANTAR-ZADEH, KAMYAR, MEHROTRA, RAJNISH · 2012 to 2014
$1.0M
Comparative Effectiveness of Home Hemodialysis versus Kidney Transplantation in tR21AG047036 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR, MOLNAR, MIKLOS ZSOLT · 2013 to 2014
$424k
Utility of Early Phase PIB as a Surrogate for Cerebral Blood Flow MeasuresR03AG047306 · NIA · UNIVERSITY OF IOWA · PI PONTO, LAURA LYNN BOLES, SCHULTZ, SUSAN K. · 2014 to 2015
$149k
NCATS NIH HHS UL1 TR001414NIA NIH HHS R03 AG047306NIA NIH HHS R21 AG047036NIDDK NIH HHS R01 DK095668
6 · The paper itself

Abstract

backgroundPrevious studies have indicated that patients on maintenance hemodialysis have worse survival compared with kidney transplant (KTx) recipients. However, none of these studies have compared mortality of the US patients using alternative dialysis modalities such as home hemodialysis (HHD) with KTx recipients.

methodsComparing patients who started HHD with those who received kidney transplantation in the United States between 2007 and 2011, we created a 1:1 propensity score-matched cohort of 4000 patients and examined the association between treatment modality and all-cause mortality using Cox proportional hazard models.

resultsThe mean ± SD age of the propensity score-matched HHD and KTx patients at baseline were 54 ± 15 years and 54 ± 14 years, 65% were men (both groups), 70% and 72% of patients were whites, and 19% were African American (both groups), respectively. Over 5 years of follow-up, HHD patients had 4 times higher mortality risk compared with KTx recipients in the entire patient population (hazard ratio [HR], 4.06; 95% confidence interval [95% CI], 3.27-5.04); total event number, 411), and similar difference was found across each race stratum. However, during the first year of therapy, although the white HHD patients had higher mortality risk (HR, 4.21; 95% CI, 3.10-5.73; total event number, 332) compared with their KTx counterparts, there was no significant difference in mortality risk between African American HHD and KTx patients (HR, 1.62; 95% CI, 0.77-3.39; total event number, 55). This result was consistent across different types of kidney donors.

conclusionsThe HHD patients appear to have 4 times higher mortality compared with KTx recipients regardless of the type of kidney donor. Further studies are needed to understand the reasons underlying racial differenes during the first year of therapy.

Indexed as

AdultAgedBlack or African AmericanFemaleHemodialysis, HomeHumansKidney TransplantationMaleMiddle AgedPropensity ScoreProportional Hazards ModelsWhite People

Identifiers

PMID26588010
PMCPMC4873468

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.