Evidence map›Paper›PMID 30197971›Full record

ArticleKidney international reports2018

Mortality in Living Kidney Donors With ESRD: A Propensity Score Analysis Using the United States Renal Data System.

Amarpali Brar, Dimitre G Stefanov, Rahul M Jindal, Moro O Salifu, Madhu Joshi, Bair Cadet, Robert Nee

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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 2 institutions in 1 country.

Amarpali BrarDepartment of Medicine, Division of Nephrology, SUNY-Downstate Medical Center, Brooklyn, New York, USA.
Dimitre G StefanovStatistical Design and Analysis, Research Division, SUNY-Downstate Medical Center, Brooklyn, New York, USA.
Rahul M JindalUSU-Walter Reed Department of Surgery, Uniformed Services University, Bethesda, Maryland, USA.
Moro O SalifuDepartment of Medicine, Division of Nephrology, SUNY-Downstate Medical Center, Brooklyn, New York, USA.
Madhu JoshiDepartment of Medicine, Division of Nephrology, SUNY-Downstate Medical Center, Brooklyn, New York, USA.
Bair CadetDepartment of Medicine, Division of Nephrology, SUNY-Downstate Medical Center, Brooklyn, New York, USA.
Robert NeeDepartment of Medicine, Division of Nephrology, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
SUNY Downstate Health Sciences University · USWalter Reed National Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years, data have emerged on the outcomes of living kidney donors who develop end-stage renal disease (ESRD). We aimed to evaluate mortality rates in kidney donors who had initiated dialysis compared with a propensity-matched cohort of dialysis patients without previous kidney donation.

methodsWe used the United States Renal Data System (USRDS) and abstracted 274 previous living kidney donors between 1995 and 2009. There were 609,398 individuals on dialysis without kidney donation. We used propensity score matching to identify 258 donors and 258 nondonors. The time-dependent Cox proportional hazards model was used to compare survival between the 2 matched cohorts.

resultsIn the propensity score-matched cohort, mortality was lower in donors compared with nondonors (19% vs. 49%;

conclusionWe observed a lower mortality rate in living kidney donors with ESRD compared with matched nondonors. This data should guide clinicians in the informed consent process with prospective donors.

Indexed as

kidney donorsmortality rate in living kidney donorspropensity score–matched cohortUnited States Renal Data System

Identifiers

PMID30197971
PMCPMC6127411
OpenAlexW2800272729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.