Evidence map›Paper›PMID 28549536›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2017

Non-GFR Determinants of Low-Molecular-Weight Serum Protein Filtration Markers in the Elderly: AGES-Kidney and MESA-Kidney.

Meredith C Foster, Andrew S Levey, Lesley A Inker, Tariq Shafi, Li Fan, Vilmundur Gudnason, Ronit Katz, Gary F Mitchell, Aghogho Okparavero, Runolfur Palsson and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
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  5. Medications Influencing Serum Cystatin C Independent of Measured GFR.Journal of the American Society of Nephrology : JASN · 2026
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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

12 authors at 7 institutions in 4 countries.

Meredith C FosterDivision of Nephrology, Tufts Medical Center, Boston, MA; Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore, Singapore.
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, MA. Electronic address: alevey@tuftsmedicalcenter.org.
Lesley A InkerDivision of Nephrology, Tufts Medical Center, Boston, MA.
Tariq ShafiJohns Hopkins University, Baltimore, MD.
Li FanDivision of Nephrology, Tufts Medical Center, Boston, MA; Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University; Key Laboratory of Nephrology, Ministry of Health of China; Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China.
Vilmundur GudnasonIcelandic Heart Association, Kopavogur, Iceland; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Ronit KatzKidney Research Institute, Department of Medicine, University of Washington, Seattle, WA.
Gary F MitchellCardiovascular Engineering, Inc, Norwood, MA.
Aghogho OkparaveroDivision of Nephrology, Tufts Medical Center, Boston, MA.
Runolfur PalssonFaculty of Medicine, University of Iceland, Reykjavik, Iceland; Division of Nephrology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland.
Wendy S PostJohns Hopkins University, Baltimore, MD.
Michael G ShlipakDivision of Nephrology, University of California, San Francisco, CA.
Tufts Medical Center · USJohns Hopkins University · USUniversity of Iceland · ISNorwood Hospital · USThe First Affiliated Hospital, Sun Yat-sen University · CNUniversity of California, San Francisco · USUniversity of Washington · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Kidney Function, Aortic Stiffness and AgingR01DK082447 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2010 to 2014
$2.4M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Estimating GFR from a Panel of Endogenous Filtration Markers (Panel eGFR)R01DK097020 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2012 to 2014
$1.9M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
Effects of Age and Race on GFR Estimation in a Population-based CohortR01DK087961 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S, SHLIPAK, MICHAEL G · 2011 to 2015
$1.2M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NIDDK NIH HHS R01 DK082447NIDDK NIH HHS R01 DK087961NIDDK NIH HHS R01 DK097020
6 · The paper itself

Abstract

backgroundStudies in chronic kidney disease populations suggest that the non-glomerular filtration rate (GFR) determinants of serum levels of the low-molecular-weight protein filtration markers cystatin C, β STUDY

designCross-sectional study. SETTING &

participantsPredominantly elderly participants selected from the Age, Gene/Environment Susceptibility Kidney Study (AGES-Kidney; N=683; mean [SD] age, 79 [4] years; GFR, 62 [17]mL/min/1.73 m PREDICTORS: Demographic and clinical factors hypothesized to be associated with conditions affecting non-GFR determinants of the filtration markers. OUTCOMES: Measured GFRs and estimated GFRs (eGFRs) based on creatinine, cystatin C, B2M, and BTP levels (eGFR

resultseGFR LIMITATIONS: Small sample size may limit power to detect associations. Participants may be healthier than the general population.

conclusionsSimilar to previous studies in chronic kidney disease, in community-dwelling elders, cystatin C, B2M, and BTP levels are less affected than creatinine level by age and sex and are not affected by ethnicity. Both cystatin C and B2M levels may be affected by inflammation. These findings are important for the development and use of GFR estimating equations based on low-molecular-weight serum proteins throughout the range in GFRs.

Indexed as

Renal Insufficiency, ChronicAgedAged, 80 and overAge FactorsAgingbeta 2-MicroglobulinBiomarkersCreatinineCross-Sectional StudiesCystatin CFemaleGlomerular Filtration RateHumansIntramolecular OxidoreductasesLipocalinsMalebeta 2-MicroglobulinBiomarkersCreatinineCystatin CIntramolecular OxidoreductasesLipocalinsprostaglandin R2 D-isomerasebeta-trace protein (BTP)biomarkercreatininecystatin CelderlyFiltration markersGFR estimationglomerular filtration rate (GFR)kidney functionβ(2)-microglobulin (B2M)

Identifiers

PMID28549536
PMCPMC5572311
OpenAlexW2617693595

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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.