Evidence map›Paper›PMID 26657867›Full record

SynthesisJournal of the American Society of Nephrology : JASN2016

Past Decline Versus Current eGFR and Subsequent ESRD Risk.

Csaba P Kovesdy, Josef Coresh, Shoshana H Ballew, Mark Woodward, Adeera Levin, David M J Naimark, Joseph Nally, Dietrich Rothenbacher, Benedicte Stengel, Kunitoshi Iseki and 3 more

Open access · bronzeAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in Journal of the American Society of Nephrology : JASN, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 4 pooled it
3.5field-weighted citation impact, top 7% 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

71 citing papers in PubMed, 4 syntheses or guidelines pooled it, 123 citations in OpenAlex.

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  6. Time in target range of systolic blood pressure and eGFR slope in patients with type 2 diabetes.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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11 more citing papers are in PubMed but not listed here.

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

13 authors at 9 institutions in 7 countries.

Csaba P KovesdyDepartment of Medicine, Nephrology Section, Memphis Veterans Affairs Medical Center, Memphis, Tennessee; Department of Medicine, Division of Nephrology, University of Tennessee Health Science Center, Memphis, Tennessee;
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; ckdpc@jhmi.edu.
Shoshana H BallewDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;
Mark WoodwardDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; The George Institute for Global Health, University of Sydney, Sydney, New South Wales, Australia;
Adeera LevinDivision of Nephrology, University of British Columbia, Vancouver, British Columbia, Canada;
David M J NaimarkInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada;
Joseph NallyDepartment of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio;
Dietrich RothenbacherInstitute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany;
Benedicte StengelInstitut National de la Santé et de la Recherche Médicale (Inserm) Unité mixte de recherche 1018 - UMR1018) Center for Research in Epidemiology and Population Health, Villejuif, France; UMRS 1018, Paris-Sud University and Versailles Saint Quentin University, Villejuif, France;
Kunitoshi IsekiDialysis Unit, University Hospital of The Ryukyus, Nishihara, Okinawa, Japan; and.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;
Andrew S Levey
CKD Prognosis Consortium
Johns Hopkins University · USCleveland Clinic · USInserm · FRMemphis VA Medical Center · USTufts Medical Center · USUniversität Ulm · DEUniversity of British Columbia · CAUniversity of the Ryukyus · JPUniversity of Toronto · CA

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
NIDDK NIH HHS R01 DK100446
6 · The paper itself

Abstract

eGFR is a robust predictor of ESRD risk. However, the prognostic information gained from the past trajectory (slope) beyond that of the current eGFR is unclear. We examined 22 cohorts to determine the association of past slopes and current eGFR level with subsequent ESRD. We modeled hazard ratios as a spline function of slopes, adjusting for demographic variables, eGFR, and comorbidities. We used random effects meta-analyses to combine results across studies stratified by cohort type. We calculated the absolute risk of ESRD at 5 years after the last eGFR using the weighted average baseline risk. Overall, 1,080,223 participants experienced 5163 ESRD events during a mean follow-up of 2.0 years. In CKD cohorts, a slope of -6 versus 0 ml/min per 1.73 m(2) per year over the previous 3 years (a decline of 18 ml/min per 1.73 m(2) versus no decline) associated with an adjusted hazard ratio of ESRD of 2.28 (95% confidence interval, 1.88 to 2.76). In contrast, a current eGFR of 30 versus 50 ml/min per 1.73 m(2) (a difference of 20 ml/min per 1.73 m(2)) associated with an adjusted hazard ratio of 19.9 (95% confidence interval, 13.6 to 29.1). Past decline contributed more to the absolute risk of ESRD at lower than higher levels of current eGFR. In conclusion, during a follow-up of 2 years, current eGFR associates more strongly with future ESRD risk than the magnitude of past eGFR decline, but both contribute substantially to the risk of ESRD, especially at eGFR<30 ml/min per 1.73 m(2).

Indexed as

Glomerular Filtration RateDisease ProgressionHumansKidney Failure, ChronicProportional Hazards ModelsRisk FactorsTime Factorsend-stage renal diseaseepidemiology and outcomesglomerular filtration rateprogression of chronic renal failure

Identifiers

PMID26657867
PMCPMC4978053
OpenAlexW2241805785

What OpenQuestion holds

Textmetadata
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.