Evidence map›Paper›PMID 24522492›Full record

ArticleKidney international2014

Relative risks of chronic kidney disease for mortality and end-stage renal disease across races are similar.

Chi Pang Wen, Kunihiro Matsushita, Josef Coresh, Kunitoshi Iseki, Muhammad Islam, Ronit Katz, William McClellan, Carmen A Peralta, HaiYan Wang, Dick de Zeeuw and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Kidney international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Kidney Function and Cardiovascular Events in Postmenopausal Women: The Impact of Race and Ethnicity in the Women's Health Initiative.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2016
    Trial
  5. Ethnic Disparities in CKD Progression: A Comparative Study of CRIC and KNOW-CKD Cohorts.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Consequences of low estimated glomerular filtration rate either before or early after kidney donation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Observational
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

15 authors at 13 institutions in 7 countries.

Chi Pang Wen1] Institute of Population Science, National Health Research Institutes, Zhunan, Taiwan [2] China Medical University Hospital, Taichung, Taiwan.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kunitoshi IsekiDialysis Unit, University Hospital of The Ryukyus, Nishihara, Japan.
Muhammad IslamDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Ronit KatzKidney Research Institute, University of Washington, Seattle, Washington, USA.
William McClellanDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Carmen A PeraltaDivision of Nephrology, University of California, San Francisco, California, USA.
HaiYan WangRenal Division, Department of Medicine, Peking University First Hospital, Institute of Nephrology, Peking University, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China.
Dick de ZeeuwDepartment of Clinical Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Brad C Astor1] Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA [2] Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Ron T GansevoortDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
Adeera LevinDivision of Nephrology UBC, St Pauls Hospital, Vancouver, British Columbia, Canada.
Chronic Kidney Disease Prognosis Consortium
Johns Hopkins University · USAga Khan University · PKChina Medical University Hospital · TWEmory University · USPeking University First Hospital · CNSt. Paul's Hospital · CATufts Medical Center · USUniversity Medical Center Groningen · NLUniversity of California, San Francisco · USUniversity of Groningen · NLUniversity of the Ryukyus · JPUniversity of Washington · USUniversity of Wisconsin–Madison · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
THE EPIDEMIOLOGY OF AGE-RELATED OCULAR DISEASEU10EY006594 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI KLEIN, RONALD · 1987 to 2018
$17.3M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
MORTALITY FOLLOW-UP AND ANALYSES OF MEN IN THE MRFITR01HL068140 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI NEATON, JAMES DENNIS · 2001 to 2005
$2.6M
GENDER DIFFERENCES IN OSTEOPOROSISR01AG007181 · NIA · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 1999 to 2002
$1.6M
CVD Predictors of Cognitive Function Trajectory over 20 YearsR01AG028507 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 2007 to 2010
$1.2M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
Novel Risk Factors for Chronic Kidney DiseaseR01DK073217 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI KLEIN, RONALD · 2006 to 2008
$800k
Novel Cardiac Risk Factors &Endothelial Function in CKDK23DK067303 · NIDDK · TUFTS MEDICAL CENTER · PI MENON, VANDANA · 2004 to 2008
$781k
British Heart Foundation PG/02/153/14616Chief Scientist Office CZH/4/656NCATS NIH HHS UL1 TR001079NEI NIH HHS U10 EY006594NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL043232NHLBI NIH HHS R01 HL068140NHLBI NIH HHS R01 HL080295NIA NIH HHS R01 AG007181NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG028507NIDDK NIH HHS K23 DK002904NIDDK NIH HHS K23 DK067303NIDDK NIH HHS R01 DK031801NIDDK NIH HHS R01 DK073217NIDDK NIH HHS U01 DK035073NINDS NIH HHS U01 NS041588Wellcome Trust 070854
6 · The paper itself

Abstract

Some suggest race-specific cutpoints for kidney measures to define and stage chronic kidney disease (CKD), but evidence for race-specific clinical impact is limited. To address this issue, we compared hazard ratios of estimated glomerular filtration rates (eGFR) and albuminuria across races using meta-regression in 1.1 million adults (75% Asians, 21% Whites, and 4% Blacks) from 45 cohorts. Results came mainly from 25 general population cohorts comprising 0.9 million individuals. The associations of lower eGFR and higher albuminuria with mortality and end-stage renal disease (ESRD) were largely similar across races. For example, in Asians, Whites, and Blacks, the adjusted hazard ratios (95% confidence interval) for eGFR 45-59 versus 90-104 ml/min per 1.73 m(2) were 1.3 (1.2-1.3), 1.1 (1.0-1.2), and 1.3 (1.1-1.7) for all-cause mortality, 1.6 (1.5-1.7), 1.4 (1.2-1.7), and 1.4 (0.7-2.9) for cardiovascular mortality, and 27.6 (11.1-68.7), 11.2 (6.0-20.9), and 4.1 (2.2-7.5) for ESRD, respectively. The corresponding hazard ratios for urine albumin-to-creatinine ratio 30-299 mg/g or dipstick 1+ versus an albumin-to-creatinine ratio under 10 or dipstick negative were 1.6 (1.4-1.8), 1.7 (1.5-1.9), and 1.8 (1.7-2.1) for all-cause mortality, 1.7 (1.4-2.0), 1.8 (1.5-2.1), and 2.8 (2.2-3.6) for cardiovascular mortality, and 7.4 (2.0-27.6), 4.0 (2.8-5.9), and 5.6 (3.4-9.2) for ESRD, respectively. Thus, the relative mortality or ESRD risks of lower eGFR and higher albuminuria were largely similar among three major races, supporting similar clinical approach to CKD definition and staging, across races.

Indexed as

AdultAgedAged, 80 and overAlbuminuriaAsian PeopleBlack PeopleCardiovascular DiseasesCohort StudiesCreatinineFemaleGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedOdds RatioCreatinine

Identifiers

PMID24522492
PMCPMC4048178
OpenAlexW2023022779

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.