Evidence map›Paper›PMID 30427947›Full record

ArticlePloS one2018

Creatinine- versus cystatin C-based renal function assessment in the Northern Manhattan Study.

S Ali Husain, Joshua Z Willey, Yeseon Park Moon, Mitchell S V Elkind, Ralph L Sacco, Myles Wolf, Ken Cheung, Clinton B Wright, Sumit Mohan

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. [Clinical implications of the estimated glomerular filtration rate].Zeitschrift fur Gerontologie und Geriatrie · 2021
    Review
  8. Article
  9. Article
  10. Observational
  11. Using race in the estimation of glomerular filtration rates: time for a reversal?Current opinion in nephrology and hypertension · 2020
    Review
  12. Article
  13. Article
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

9 authors at 4 institutions in 1 country.

S Ali HusainDepartment of Medicine, Division of Nephrology, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, United States of America.ORCID 0000-0002-1823-0117
Joshua Z WilleyDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America.ORCID 0000-0001-5180-2044
Yeseon Park MoonDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America.
Mitchell S V ElkindDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America.
Ralph L SaccoDepartments of Neurology and Public Health Sciences, Leonard M. Miller School of Medicine, the McKnight Brain Institute and the Neuroscience Program, University of Miami, Miami, Florida, United States of America.
Myles WolfDepartment of Medicine, Division of Nephrology, Duke University School of Medicine, Durham, North Carolina, United States of America.
Ken CheungDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Clinton B WrightDepartments of Neurology and Public Health Sciences, Leonard M. Miller School of Medicine, the McKnight Brain Institute and the Neuroscience Program, University of Miami, Miami, Florida, United States of America.
Sumit MohanDepartment of Medicine, Division of Nephrology, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, United States of America.ORCID 0000-0002-5305-9685
Columbia University · USColumbia University Irving Medical Center · USUniversity of Miami · USDuke University · US

Funding

STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
Physical Activity Patterns via New Dimension-Informative Cluster Models.R01HL111195 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHEUNG, KEN, ELKIND, MITCHELL S · 2012 to 2015
$1.4M
NHLBI NIH HHS R01 HL111195NINDS NIH HHS R01 NS029993
6 · The paper itself

Abstract

backgroundAccurate glomerular filtration rate estimation informs drug dosing and risk stratification. Body composition heterogeneity influences creatinine production and the precision of creatinine-based estimated glomerular filtration rate (eGFRcr) in the elderly. We compared chronic kidney disease (CKD) categorization using eGFRcr and cystatin C-based estimated GFR (eGFRcys) in an elderly, racially/ethnically diverse cohort to determine their concordance.

methodsThe Northern Manhattan Study (NOMAS) is a predominantly elderly, multi-ethnic cohort with a primary aim to study cardiovascular disease epidemiology. We included participants with concurrently measured creatinine and cystatin C. eGFRcr was calculated using the CKD-EPI 2009 equation. eGFRcys was calculated using the CKD-EPI 2012 equation. Logistic regression was used to estimate odds ratios and 95% confidence intervals of factors associated with reclassification from eGFRcr≥60ml/min/1.73m2 to eGFRcys<60ml/min/1.73m2.

resultsParticipants (n = 2988, mean age 69±10yrs) were predominantly Hispanic, female, and overweight/obese. eGFRcys was lower than eGFRcr by mean 23mL/min/1.73m2. 51% of participants' CKD status was discordant, and only 28% maintained the same CKD stage by both measures. Most participants (78%) had eGFRcr≥60mL/min/1.73m2; among these, 64% had eGFRcys<60mL/min/1.73m2. Among participants with eGFRcr≥60mL/min/1.73m2, eGFRcys-based reclassification was more likely in those with age >65 years, obesity, current smoking, white race, and female sex.

conclusionsIn a large, multiethnic, elderly cohort, we found a highly discrepant prevalence of CKD with eGFRcys versus eGFRcr. Determining the optimal method to estimate GFR in elderly populations needs urgent further study to improve risk stratification and drug dosing.

Indexed as

AgedAge FactorsCreatinineCystatin CFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedNew York CityPrevalenceProspective StudiesRenal Insufficiency, ChronicRisk AssessmentCreatinineCystatin C

Identifiers

PMID30427947
PMCPMC6235352
OpenAlexW2901364366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.