Evidence map›Paper›PMID 24074822›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2014

Estimation of GFR in South Asians: a study from the general population in Pakistan.

Saleem Jessani, Andrew S Levey, Rasool Bux, Lesley A Inker, Muhammad Islam, Nish Chaturvedi, Christophe Mariat, Christopher H Schmid, Tazeen H Jafar

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 8% 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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Long Term Exposure to Ambient Particulate MatterKidney international reports · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 5 countries.

Saleem JessaniDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Andrew S LeveyDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.
Rasool BuxDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Lesley A InkerDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA.
Muhammad IslamDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Nish ChaturvediClinical Epidemiology, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Christophe MariatService de Néphrologie, Dialyse et Transplantation Rénale, Université de Saint-Etienne, Saint-Etienne, France.
Christopher H SchmidCenter for Evidence Based Medicine and Department of Biostatistics, Brown University, Providence, RI.
Tazeen H JafarDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan; Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA; Section of Nephrology, Department of Medicine, Aga Khan University, Karachi, Pakistan; Health Services & Systems Research, Duke NUS Graduate Medical School, Singapore. Electronic address: tazeen.jafar@duke-nus.edu.sg.
Aga Khan University · PKTufts Medical Center · USBrown University · USCentre Hospitalier Universitaire de Saint-Étienne · FRImperial College London · GB

Funding

Chronic Kidney Disease in the Pakistani PopulationR03TW007588 · FIC · AGA KHAN UNIVERSITY (PAKISTAN) · PI JAFAR, TAZEEN · 2007 to 2009
$102k
FIC NIH HHS 1R03TW007588-01A1FIC NIH HHS R03 TW007588
6 · The paper itself

Abstract

backgroundSouth Asians are at high risk for chronic kidney disease. However, unlike those in the United States and United Kingdom, laboratories in South Asian countries do not routinely report estimated glomerular filtration rate (eGFR) when serum creatinine is measured. The objectives of the study were to: (1) evaluate the performance of existing GFR estimating equations in South Asians, and (2) modify the existing equations or develop a new equation for use in this population. STUDY

designCross-sectional population-based study. SETTING &

participants581 participants 40 years or older were enrolled from 10 randomly selected communities and renal clinics in Karachi. PREDICTORS: eGFR, age, sex, serum creatinine level. OUTCOMES: Bias (the median difference between measured GFR [mGFR] and eGFR), precision (the IQR of the difference), accuracy (P30; percentage of participants with eGFR within 30% of mGFR), and the root mean squared error reported as cross-validated estimates along with bootstrapped 95% CIs based on 1,000 replications.

resultsThe CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine equation performed better than the MDRD (Modification of Diet in Renal Disease) Study equation in terms of greater accuracy at P30 (76.1% [95% CI, 72.7%-79.5%] vs 68.0% [95% CI, 64.3%-71.7%]; P < 0.001) and improved precision (IQR, 22.6 [95% CI, 19.9-25.3] vs 28.6 [95% CI, 25.8-31.5] mL/min/1.73 m(2); P < 0.001). However, both equations overestimated mGFR. Applying modification factors for slope and intercept to the CKD-EPI equation to create a CKD-EPI Pakistan equation (such that eGFRCKD-EPI(PK) = 0.686 × eGFRCKD-EPI(1.059)) in order to eliminate bias improved accuracy (P30, 81.6% [95% CI, 78.4%-84.8%]; P < 0.001) comparably to new estimating equations developed using creatinine level and additional variables. LIMITATIONS: Lack of external validation data set and few participants with low GFR.

conclusionsThe CKD-EPI creatinine equation is more accurate and precise than the MDRD Study equation in estimating GFR in a South Asian population in Karachi. The CKD-EPI Pakistan equation further improves the performance of the CKD-EPI equation in South Asians and could be used for eGFR reporting.

Indexed as

Glomerular Filtration RateRenal Insufficiency, ChronicAdultAge FactorsCreatinineCross-Sectional StudiesData Interpretation, StatisticalFemaleHumansKidneyMalePakistanRandom AllocationRisk AssessmentRisk FactorsSex FactorsCreatinineCKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) Pakistanestimating equationsGlomerular filtration rate (GFR)renal functionSouth Asians

Identifiers

PMID24074822
PMCPMC4428680
OpenAlexW2081810385

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.