Evidence map›Paper›PMID 25441435›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2015

Estimating time to ESRD using kidney failure risk equations: results from the African American Study of Kidney Disease and Hypertension (AASK).

Morgan E Grams, Liang Li, Tom H Greene, Adrienne Tin, Yingying Sang, W H Linda Kao, Michael S Lipkowitz, Jackson T Wright, Alex R Chang, Brad C Astor and 1 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Towards the best kidney failure prediction tool: a systematic review and selection aid.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Pooled it
  2. Pooled it
  3. Trial
  4. Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates.Journal of the American Statistical Association · 2026
    Article
  5. Article
  6. Article
  7. Cardiovascular and Kidney Outcomes of Non-Diabetic CKD by Albuminuria Severity: Findings From the CRIC Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  8. Article
  9. Proteinuria, measured or estimated albuminuria for risk prediction in patients with chronic kidney disease?Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  10. Utility of the Kidney Failure Risk Equation and Estimated GFR for Estimating Time to Kidney Failure in Advanced CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. CKD Progression From the Time of Estimated GFR-Based Waitlist Eligibility and Racial Disparities in Transplant Access.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Article
  16. Article
  17. Nephrology Referral Based on Laboratory Values, Kidney Failure Risk, or Both: A Study Using Veterans Affairs Health System Data.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Observational
  18. Observational
  19. Article
  20. Estimation of Albumin-Creatinine Ratio From Protein-Creatinine Ratio in Urine of Children and Adolescents With CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 1 country.

Morgan E GramsDivision of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD. Electronic address: mgrams2@jhmi.edu.
Liang LiUniversity of Texas MD Anderson Cancer Center, Houston, TX.
Tom H GreeneDivision of Clinical Epidemiology, University of Utah School of Medicine, Salt Lake City, UT.
Adrienne TinDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD.
Yingying SangDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD.
W H Linda KaoDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD.
Michael S LipkowitzDivision of Nephrology, Georgetown University School of Medicine, Washington, DC.
Jackson T WrightDepartment of Medicine, Case Western Reserve University, Cleveland, OH.
Alex R ChangDivision of Nephrology, Geisinger Health System, Danville, PA.
Brad C AstorDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI; Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Lawrence J AppelDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD; University of Texas MD Anderson Cancer Center, Houston, TX; Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · USCase Western Reserve University · USGeisinger Health System · USGeorgetown University · USThe University of Texas MD Anderson Cancer Center · USUniversity of Utah · USUniversity of Wisconsin–Madison · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
RENAL DISEASE EPIDEMIOLOGY TRAINING GRANTT32DK007732 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 1995 to 2024
$7.7M
Joint Analysis of Longitudinal Outcomes and Clinical Events in Kidney DiseaseR01DK090046 · NIDDK · UNIVERSITY OF UTAH · PI GREENE, TOM, JOFFE, MARSHALL M · 2011 to 2014
$1.8M
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
NIDDK NIH HHS K08 DK092287NIDDK NIH HHS K08DK092287NIDDK NIH HHS R01 DK090046NIDDK NIH HHS R01DK090046NIDDK NIH HHS T32 DK007732NIDDK NIH HHS T32DK007732
6 · The paper itself

Abstract

backgroundPlanning for renal replacement therapy, such as referral for arteriovenous fistula placement and transplantation, often is guided by level of estimated glomerular filtration rate (eGFR). The use of risk equations might enable more accurate estimation of time to end-stage renal disease (ESRD), thus improving patient care. STUDY

designProspective observational study. SETTING &

participants1,094 participants in the African American Study of Kidney Disease and Hypertension (AASK) cohort. PREDICTOR: Age, sex, urine protein-creatinine ratio ≥ 1g/g, APOL1 high-risk status, and 3-year antecedent eGFR decline. OUTCOME: Cumulative incidence of ESRD from 5 different starting points: eGFR of 30 and 15mL/min/1.73m(2) and 1-year ESRD risk of 5%, 10%, and 20%, estimated by a published 4-variable kidney failure risk equation.

results566 participants developed eGFR of 30mL/min/1.73m(2), 244 developed eGFR of 15mL/min/1.73m(2), and 437, 336, and 259 developed 1-year ESRD risks of 5%, 10%, and 20%, respectively. The 1-year cumulative incidence of ESRD was 4.3% from eGFR of 30mL/min/1.73m(2), 49.0% from eGFR of 15mL/min/1.73m(2), 6.7% from 5% ESRD risk, 15.0% from 10% ESRD risk, and 29% from 20% ESRD risk. From eGFR of 30mL/min/1.73m(2), there were several risk factors that predicted ESRD risk. From eGFR of 15mL/min/1.73m(2), only level of proteinuria did; median time to ESRD was 9 and 19 months in those with higher and lower proteinuria, respectively. Median times were less variable from corresponding ESRD risk thresholds. For example, median times to ESRD from 20% ESRD risk were 22 and 25 months among those with higher and lower proteinuria, respectively. LIMITATIONS: Relatively homogeneous population of African Americans with hypertensive kidney disease.

conclusionsResults of the present study suggest the potential benefit of incorporating kidney failure risk equations into clinical care, with selection of a specific threshold guided by its intended use.

Indexed as

Black or African AmericanDisease ProgressionHypertensionKidney Failure, ChronicAdultAgedFemaleFollow-Up StudiesGlomerular Filtration RateHumansMaleMiddle AgedProspective StudiesRenal InsufficiencyRisk FactorsAfrican American Study of Kidney Disease and Hypertension (AASK)clinical decision makingdisease progressiondisease trajectoryEnd-stage renal disease (ESRD)estimated glomerular filtration rate (eGFR)hypertensive kidney diseasekidney failure risk equationsprognosisproteinuriarisk

Identifiers

PMID25441435
PMCPMC4339439
OpenAlexW2029697998

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.