Evidence map›Paper›PMID 25943717›Full record

SynthesisAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2015

A Meta-analysis of the Association of Estimated GFR, Albuminuria, Age, Race, and Sex With Acute Kidney Injury.

Morgan E Grams, Yingying Sang, Shoshana H Ballew, Ron T Gansevoort, Heejin Kimm, Csaba P Kovesdy, David Naimark, Cecilia Oien, David H Smith, Josef Coresh and 4 more

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis 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 110 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 9 pooled it
9.6field-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

110 citing papers in PubMed, 9 syntheses or guidelines pooled it, 221 citations in OpenAlex.

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  10. Impact of a Primary Care CKD Registry in a US Public Safety-Net Health Care Delivery System: A Pragmatic Randomized Trial.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018
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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 13 institutions in 6 countries.

Morgan E GramsDepartment of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Yingying SangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Shoshana H BallewDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ron T GansevoortDepartment of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Heejin KimmDepartment of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.
Csaba P KovesdyMemphis Veterans Affairs Medical Center, Memphis, TN.
David NaimarkInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Cecilia OienNorwegian University of Science and Technology and St Olavs University Hospital, Trondheim, Norway.
David H SmithCenter for Health Research, Kaiser Permanente Northwest, Portland, OR.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Mark J SarnakDivision of Nephrology, Tufts Medical Center, Boston, MA.
Benedicte StengelInserm U1018, CESP Centre for Research in Epidemiology and Population Health and UMRS 1018, Paris-Sud University, Villejuif, France.
Marcello TonelliDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
CKD Prognosis Consortium
Johns Hopkins University · USTufts Medical Center · USKaiser Permanente Center for Health Research · USInserm · FRJohns Hopkins Medicine · USMemphis VA Medical Center · USUniversity Medical Center Groningen · NLUniversity of Calgary · CAUniversity of Toronto · CAYonsei University · KRNorwegian University of Science and Technology · NOSt Olav's University Hospital · NOUniversity of Groningen · NL

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
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
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
Role of EIIIA fibronectin in pulmonary fibrosisR01HL085083 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2007 to 2011
$1.9M
Racial and Cardiovascular Risk Factor Anomalies in CKDR01DK096920 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI KALANTAR-ZADEH, KAMYAR, KOVESDY, CSABA PAL · 2013 to 2015
$909k
The comparative effectiveness of kidney transplantation in advanced CKDK08DK092287 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GRAMS, MORGAN ERIKA · 2012 to 2016
$793k
CENTRAL BLOOD ANALYSIS LABORATORY FOR CHSN01HC085086 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1988 to 2000
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CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085083 · HC · UNIVERSITY OF CALIFORNIA DAVIS · PI ROBBINS, JOHN A · 1988 to 1999
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CORONARY HEART DISEASE AND STROKE IN PEOPLE AGED 65-84N01HC085082 · HC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KULLER, LEWIS H · 1988 to 2000
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CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085081 · HC · JOHNS HOPKINS UNIVERSITY · PI FRIED, LINDA P · 1988 to 2000
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CORONARY HEART DISEASE &STROKE IN THE ELDERLYN01HC085080 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1988 to 2000
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NCATS NIH HHS UL1 TR001079NHLBI NIH HHS HHSN268200800007CNHLBI 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 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL080295NIA NIH HHS R01 AG023629NIDDK NIH HHS K08 DK092287NIDDK NIH HHS R01 DK096920NIDDK NIH HHS R01 DK100446NIDDK NIH HHS R01DK100446-01
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white). STUDY

designCollaborative meta-analysis. SETTING & POPULATION: 8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants). SELECTION CRITERIA FOR STUDIES: Available eGFR, ACR, and 50 or more AKI events. PREDICTORS: Age, sex, race, eGFR, urine ACR, and interactions. OUTCOME: Hospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.

results16,480 (1.3%) general-population cohort participants had AKI over a mean follow-up of 4 years; 2,087 (2.6%) CKD participants had AKI over a mean follow-up of 1 year. Lower eGFR and higher ACR were strongly associated with AKI. Compared with eGFR of 80mL/min/1.73m(2), the adjusted HR of AKI at eGFR of 45mL/min/1.73m(2) was 3.35 (95% CI, 2.75-4.07). Compared with ACR of 5mg/g, the risk of AKI at ACR of 300mg/g was 2.73 (95% CI, 2.18-3.43). Older age was associated with higher risk of AKI, but this effect was attenuated with lower eGFR or higher ACR. Male sex was associated with higher risk of AKI, with a slight attenuation in lower eGFR but not in higher ACR. African Americans had higher AKI risk at higher levels of eGFR and most levels of ACR. LIMITATIONS: Only 2 general-population cohorts could contribute to analyses by race; AKI identified by diagnostic code.

conclusionsReduced eGFR and increased ACR are consistent strong risk factors for AKI, whereas associations of AKI with age, sex, and race may be weaker in more advanced stages of CKD.

Indexed as

Acute Kidney InjuryAdolescentAdultAgedAge DistributionAlbuminuriaBlack or African AmericanFemaleGlomerular Filtration RateHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisRacial Groupsacute kidney injury (AKI)acute renal failure (ARF)agealbumin-creatinine ratio (ACR)albuminuriaChronic Kidney Disease Prognosis ConsortiumEstimated glomerular filtration rate (eGFR)meta-analysisproteinuriarace/ethnicityrenal functionsex

Identifiers

PMID25943717
PMCPMC4584180
OpenAlexW2135179234

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Registered trials

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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.