Evidence map›Paper›PMID 33912746›Full record

ArticleKidney international reports2021

Performance and Determinants of Serum Creatinine and Cystatin C-Based GFR Estimating Equations in South Asians.

Yeli Wang, Andrew S Levey, Lesley A Inker, Saleem Jessani, Rasool Bux, Zainab Samad, Ali Raza Khan, Amy B Karger, John C Allen, Tazeen H Jafar

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

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  8. Kidney function estimation equations: a narrative review.Irish journal of medical science · 2025
    Review
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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

10 authors at 5 institutions in 3 countries.

Yeli WangProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore.
Andrew S LeveyDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA.
Lesley A InkerDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA.
Saleem JessaniDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Rasool BuxDepartment of Pediatrics (Division of Women and Child Health), Aga Khan University, Karachi, Pakistan.
Zainab SamadDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Ali Raza KhanDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Amy B KargerDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
John C AllenCenter for Quantitative Medicine, Office of Clinical Sciences, Duke-NUS Medical School, Singapore.
Tazeen H JafarProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore.
Aga Khan University · PKDuke-NUS Medical School · SGTufts Medical Center · USSingapore General Hospital · SGUniversity of Minnesota Medical Center · US

Funding

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
Chronic Kidney Disease in the Pakistani PopulationR03TW007588 · FIC · AGA KHAN UNIVERSITY (PAKISTAN) · PI JAFAR, TAZEEN · 2007 to 2009
$102k
FIC NIH HHS R03 TW007588NIDDK NIH HHS R01 DK097020
6 · The paper itself

Abstract

introductionThe creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimated glomerular filtration rate (eGFR) equation was calibrated for the general Pakistan population (eGFRcr-PK) to eliminate bias and improve accuracy. Cystatin C-based CKD-EPI equations (eGFRcys and eGFRcr-cys) have not been assessed in this population, and non-GFR determinants of cystatin C are unknown.

methodsWe assessed eGFRcys, eGFRcr-cys, and non-GFR determinants of cystatin C in a cross-sectional study of 557 participants (≥40 years of age) from Pakistan. We compared bias (median difference in measured GFR [mGFR] and eGFR), precision (interquartile range [IQR] of differences), accuracy (percentage of eGFR within 30% of mGFR), root mean square error (RMSE), and classification of mGFR <60 ml/min/1.73 m

resultsWe found that eGFRcys underestimated mGFR (bias, 12.7 ml/min/1.73 m

conclusioneGFRcys underestimated mGFR in South Asians and eGFRcr-cys did not offer substantial advantage compared with eGFRcr-PK. Future studies are warranted to better understand the large bias in eGFRcys and non-GFR determinants of cystatin C in South Asians.

Indexed as

Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)cystatin Cestimating equationsglomerular filtration rate (GFR)kidney functionSouth Asian

Identifiers

PMID33912746
PMCPMC8071622
OpenAlexW3121302497

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.