Evidence map›Paper›PMID 30635225›Full record

SynthesisThe lancet. Diabetes & endocrinology2019

Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies.

Josef Coresh, Hiddo J L Heerspink, Yingying Sang, Kunihiro Matsushita, Johan Arnlov, Brad C Astor, Corri Black, Nigel J Brunskill, Juan-Jesus Carrero, Harold I Feldman and 22 more

Registry-linked trialOpen access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in The lancet. Diabetes & endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05189418 (Sleep-time Blood Pressure Determined by Home and Ambulatory Monitoring as Potential Prognostic Factor for Chronic Kidney Disease), which is not on this map. Cited by 183 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 10 pooled it
22.3field-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.

NCT05189418 completednot on this mapstarted 2022, after this paper: background citation

Sleep-time Blood Pressure Determined by Home and Ambulatory Monitoring as Potential Prognostic Factor for Chronic Kidney Disease (CKD) Progression, Mortality, and Cardiovascular Morbidity in Patients With Advanced CKD

Typeobservational_patient_registrySponsorUniversity of VigoRan2022 to 2024Enrolled210ConditionsChronic Kidney DiseasesArmsAmbulatory blood pressure monitoring (ABPM), Home blood pressure monitoring (HBPM)
3 · Its place in the literature

Who cites it

183 citing papers in PubMed, 10 syntheses or guidelines pooled it, 310 citations in OpenAlex.

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  14. Finerenone in People with CKD, Type 2 Diabetes, and History of Nephrectomy.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Trial
  15. Simultaneous initiation of finerenone and empagliflozin across the spectrum of kidney risk in the CONFIDENCE trial.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Trial
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  18. The renoprotective effect of esaxerenone independent of blood pressure lowering: a post hoc mediation analysis of the ESAX-DN trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Trial
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  20. The FimAsartaN proTeinuriA SusTaIned reduCtion in comparison with losartan in diabetic chronic kidney disease (FANTASTIC) trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Trial

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 20 institutions in 10 countries.

Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: ckdpc@jhmi.edu.
Hiddo J L HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Yingying SangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johan ArnlovSchool of Health and Social Studies, Dalarna University, Falun, Sweden; Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.
Brad C AstorDepartment of Medicine and Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Corri BlackInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK; Public Health, NHS Grampian, Summerfield House, Aberdeen, UK.
Nigel J BrunskillDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK; John Walls Renal Unit, University Hospitals of Leicester, Leicester, UK.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Huddinge, Sweden.
Harold I FeldmanDepartment of Biostatistics, Epidemiology and Informatics and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Caroline S FoxNational Heart, Lung, and Blood Institute's Framingham Heart Study, Center for Population Studies, Framingham, MA, USA; Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lesley A InkerDivision of Nephrology, Tufts Medical Center, Boston, MA, USA.
Areef IshaniVeterans Administration Health Care System, Minneapolis, MN, USA; Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
Sadayoshi ItoDivision of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Simerjot JassalDivision of General Internal Medicine, Department of Medicine, VA San Diego Healthcare System, University of California San Diego, San Diego, CA, USA.
Tsuneo KontaDepartment of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan.
Kevan PolkinghorneDepartment of Nephrology, Monash Medical Centre, Melbourne, VIC, Australia; Department of Medicine and School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Solfrid RomundstadDepartment of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Internal Medicine, Levanger Hospital, Health Trust Nord-Trøndelag, Levanger, Norway.
Marit D SolbuSection of Nephrology, Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway; Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Nikita StempniewiczAmerican Medical Group Association, Alexandria, VA, USA.
Benedicte StengelInserm UMR1018, Center for Research in Epidemiology and Population Health, Villejuif, Paris, France; Versailles Saint-Quentin-en-Yvelines University, Versailles, France; Paris-Sud University, Orsay, France.
Marcello TonelliDivision of Nephrology, Department of Medicine, University of Calgary, Calgary, AB, Canada.
Mitsumasa UmesawaDepartment of Public Health, Dokkyo Medical University, Tochigi, Japan; Ibaraki Health Plaza, Ibaraki Health Service Association, Mito, Japan.
Sushrut S WaikarRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Chi-Pang WenChina Medical University Hospital, Taichung, Taiwan; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
Jack F M WetzelsDepartment of Nephrology, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands.
Mark WoodwardDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; The George Institute for Global Health, University of Oxford, Oxford, UK; The George Institute for Global Health, UNSW Sydney, Sydney, NSW, Australia.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Csaba P KovesdyUniversity of Tennessee Health Science Center, Memphis, TN, USA; Memphis Veterans Affairs Medical Center, Memphis, TN, USA.
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, MA, USA.
Ron T GansevoortDepartment of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Chronic Kidney Disease Prognosis Consortium and Chronic Kidney Disease Epidemiology Collaboration
Johns Hopkins University · USTohoku University · JPAmerican Medical Group Association · USKarolinska Institutet · SETufts Medical Center · USUniversity of Calgary · CABrigham and Women's Hospital · USCentre de recherche en Epidémiologie et Santé des Populations · FRChina Medical University Hospital · TWDokkyo Medical University · JPGeorge Institute for Global Health · GBMinneapolis VA Health Care System · USMonash Medical Centre · AUMonash University · AUNational Heart Lung and Blood Institute · USNorwegian University of Science and Technology · NORadboud University Nijmegen · NLUiT The Arctic University of Norway · NOUniversity Medical Center Groningen · NLUniversity of Aberdeen · GB

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
Epidemiology, Pathophysiology and Treatment of Diabetic NephropathyZIADK069062 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI NELSON, ROBERT G · 2009 to 2023
$10.1M
Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Morbid Obesity, Bariatric Surgery, and Kidney FunctionK23DK106515 · NIDDK · GEISINGER CLINIC · PI CHANG, ALEXANDER R · 2015 to 2019
$890k
Medical Research Council MR/K007017/1NIDDK NIH HHS K23 DK106515NIDDK NIH HHS R01 DK100446NIDDK NIH HHS R01 DK108803
6 · The paper itself

Abstract

backgroundChange in albuminuria as a surrogate endpoint for progression of chronic kidney disease is strongly supported by biological plausibility, but empirical evidence to support its validity in epidemiological studies is lacking. We aimed to assess the consistency of the association between change in albuminuria and risk of end-stage kidney disease in a large individual participant-level meta-analysis of observational studies.

methodsIn this meta-analysis, we collected individual-level data from eligible cohorts in the Chronic Kidney Disease Prognosis Consortium (CKD-PC) with data on serum creatinine and change in albuminuria and more than 50 events on outcomes of interest. Cohort data were eligible if participants were aged 18 years or older, they had a repeated measure of albuminuria during an elapsed period of 8 months to 4 years, subsequent end-stage kidney disease or mortality follow-up data, and the cohort was active during this consortium phase. We extracted participant-level data and quantified percentage change in albuminuria, measured as change in urine albumin-to-creatinine ratio (ACR) or urine protein-to-creatinine ratio (PCR), during baseline periods of 1, 2, and 3 years. Our primary outcome of interest was development of end-stage kidney disease after a baseline period of 2 years. We defined an end-stage kidney disease event as initiation of kidney replacement therapy. We quantified associations of percentage change in albuminuria with subsequent end-stage kidney disease using Cox regression in each cohort, followed by random-effects meta-analysis. We further adjusted for regression dilution to account for imprecision in the estimation of albuminuria at the participant level. We did multiple subgroup analyses, and also repeated our analyses using participant-level data from 14 clinical trials, including nine clinical trials not in CKD-PC.

findingsBetween July, 2015, and June, 2018, we transferred and analysed data from 28 cohorts in the CKD-PC, which included 693 816 individuals (557 583 [80%] with diabetes). Data for 675 904 individuals and 7461 end-stage kidney disease events were available for our primary outcome analysis. Change in ACR was consistently associated with subsequent risk of end-stage kidney disease. The adjusted hazard ratio (HR) for end-stage kidney disease after a 30% decrease in ACR during a baseline period of 2 years was 0·83 (95% CI 0·74-0·94), decreasing to 0·78 (0·66-0·92) after further adjustment for regression dilution. Adjusted HRs were fairly consistent across cohorts and subgroups (ie, estimated glomerular filtration rate, diabetes, and sex), but the association was somewhat stronger among participants with higher baseline ACR than among those with lower baseline ACR (p

interpretationChange in albuminuria was consistently associated with subsequent risk of end-stage kidney disease across a range of cohorts, lending support to the use of change in albuminuria as a surrogate endpoint for end-stage kidney disease in clinical trials of progression of chronic kidney disease in the setting of increased albuminuria.

fundingUS National Kidney Foundation and US National Institute of Diabetes and Digestive and Kidney Diseases.

Indexed as

AlbuminuriaDisease ProgressionGlomerular Filtration RateHumansKidney Failure, ChronicKidney Function TestsObservational Studies as TopicPrognosisRisk Factors

Identifiers

PMID30635225
PMCPMC6379893
OpenAlexW2909182150

What OpenQuestion holds

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Registered trials

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.