Evidence map›Paper›PMID 26544982›Full record

SynthesisThe New England journal of medicine2016

Kidney-Failure Risk Projection for the Living Kidney-Donor Candidate.

Morgan E Grams, Yingying Sang, Andrew S Levey, Kunihiro Matsushita, Shoshana Ballew, Alex R Chang, Eric K H Chow, Bertram L Kasiske, Csaba P Kovesdy, Girish N Nadkarni and 6 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The New England journal of medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 7 pooled it
45.7field-weighted citation impact, top 1% 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

172 citing papers in PubMed, 7 syntheses or guidelines pooled it, 440 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Guideline
  7. Pooled it
  8. Donor medicine: An emerging field in nephrology.World journal of nephrology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Evaluation and Counseling of Living Kidney Donor Candidates.Journal of the American Society of Nephrology : JASN · 2026
    Review
  13. Article
  14. Review
  15. Long-Term Outcomes Across Age and Risk Profiles in a Caucasian Living Kidney Donor Cohort.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 3 countries.

Morgan E GramsFrom the Division of Nephrology, Johns Hopkins University School of Medicine (M.E.G.), the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health (M.E.G., Y.S., K.M., S.B., J.C.), and the Departments of Surgery and Epidemiology, Johns Hopkins University (E.K.H.C., D.L.S.) - all in Baltimore; the Division of Nephrology, Tufts Medical Center, Boston (A.S.L.); the Division of Nephrology, Geisinger Medical Center, Danville, PA (A.R.C.); the Department of Medicine, Hennepin County Medical Center, University of Minnesota, Minneapolis (B.L.K.); Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center - both in Memphis (C.P.K.); the Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York (G.N.N.); Medical Division, Maccabi Healthcare Services and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (V.S.); Centers for Abdominal Transplantation and Outcomes Research, Saint Louis University, St. Louis (K.L.L.); and the Departments of Medicine and Epidemiology and Biostatistics, Western University, and the Institute for Clinical Evaluative Sciences - both in London, ON, Canada (A.X.G.).
Yingying Sang
Andrew S Levey
Kunihiro Matsushita
Shoshana Ballew
Alex R Chang
Eric K H Chow
Bertram L Kasiske
Csaba P Kovesdy
Girish N Nadkarni
Varda Shalev
Dorry L Segev
Josef Coresh
Krista L Lentine
Amit X Garg
Chronic Kidney Disease Prognosis Consortium
Johns Hopkins University · USGeisinger Medical Center · USIcahn School of Medicine at Mount Sinai · USInstitute for Clinical Evaluative Sciences · CASaint Louis University · USTel Aviv University · ILTufts Medical Center · USUniversity of Minnesota · USUniversity of Tennessee Health Science Center · US

Funding

Chronic Kidney Disease Prognosis Consortium (CKD-PC)R01DK100446 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2014 to 2026
$10.7M
Long-Term Health Outcomes After Live Kidney Donation in African AmericansR01DK096008 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SEGEV, DORRY L. · 2013 to 2017
$3.8M
Morbid Obesity, Bariatric Surgery, and Kidney FunctionK23DK106515 · NIDDK · GEISINGER CLINIC · PI CHANG, ALEXANDER R · 2015 to 2019
$890k
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNIDDK NIH HHS K08 DK092287NIDDK NIH HHS K08DK092287NIDDK NIH HHS K23 DK106515NIDDK NIH HHS R01 DK096008NIDDK NIH HHS R01DK096008NIDDK NIH HHS R01 DK100446NIDDK NIH HHS R01DK100446-01
6 · The paper itself

Abstract

backgroundEvaluation of candidates to serve as living kidney donors relies on screening for individual risk factors for end-stage renal disease (ESRD). To support an empirical approach to donor selection, we developed a tool that simultaneously incorporates multiple health characteristics to estimate a person's probable long-term risk of ESRD if that person does not donate a kidney.

methodsWe used risk associations from a meta-analysis of seven general population cohorts, calibrated to the population-level incidence of ESRD and mortality in the United States, to project the estimated long-term incidence of ESRD among persons who do not donate a kidney, according to 10 demographic and health characteristics. We then compared 15-year projections with the observed risk among 52,998 living kidney donors in the United States.

resultsA total of 4,933,314 participants from seven cohorts were followed for a median of 4 to 16 years. For a 40-year-old person with health characteristics that were similar to those of age-matched kidney donors, the 15-year projections of the risk of ESRD in the absence of donation varied according to race and sex; the risk was 0.24% among black men, 0.15% among black women, 0.06% among white men, and 0.04% among white women. Risk projections were higher in the presence of a lower estimated glomerular filtration rate, higher albuminuria, hypertension, current or former smoking, diabetes, and obesity. In the model-based lifetime projections, the risk of ESRD was highest among persons in the youngest age group, particularly among young blacks. The 15-year observed risks after donation among kidney donors in the United States were 3.5 to 5.3 times as high as the projected risks in the absence of donation.

conclusionsMultiple demographic and health characteristics may be used together to estimate the projected long-term risk of ESRD among living kidney-donor candidates and to inform acceptance criteria for kidney donors. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases and others.).

Indexed as

Kidney TransplantationLiving DonorsRisk AssessmentAdultAgedFemaleGlomerular Filtration RateHumansHypertensionIncidenceKidney Failure, ChronicMaleMiddle AgedModels, StatisticalRisk FactorsSex Factors

Identifiers

PMID26544982
PMCPMC4758367
OpenAlexW2275619513

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.