Evidence map›Paper›PMID 39937212›Full record

ArticleIndian journal of nephrology2024

Development and Validation of an Accurate Creatinine-Based Equation to Estimate Glomerular Filtration Rate for the Adult Indian Population: Design and Methods.

Ashok Kumar Yadav, Arpita Ghosh, Vivek Kumar, Sreejith Parameswaran, Sitanshu Sekhar Kar, Jarnail Singh Thakur, Harbir Singh Kohli, Neil R Dalton, Tazeen H Jafar, Andrew S Levey and 1 more

Abstract read
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Article in Indian journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ashok Kumar YadavDepartment of Experimental Medicine and Biotechnology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Arpita GhoshGeorge Institute for Global Health India, New Delhi, India.
Vivek KumarDepartment of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Sreejith ParameswaranDepartments of Nephrology, Jawaharlal Institute of Postgraduate Medical Education & Research, Pondicherry, India.
Sitanshu Sekhar KarDepartment of Preventive & Social Medicine, Jawaharlal Institute of Postgraduate Medical Education & Research, Pondicherry, India.
Jarnail Singh ThakurDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Harbir Singh KohliDepartment of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Neil R DaltonWellChild Laboratory, Evelina London Children's Hospital, Guy's and St Thomas NHS Foundation Trust, UK.
Tazeen H JafarProgram in Health Services & Systems Research, Duke-NUS Medical School, Singapore.
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
Vivekanand JhaGeorge Institute for Global Health India, New Delhi, India.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Existing creatinine-based equations to estimate glomerular filtration rate (GFR), developed primarily in populations of European and African American ancestry, do not accurately reflect the GFR in the Indian population due to differences in body composition, diet, and other factors. This manuscript describes the rationale and methodology for developing a creatinine-based equation for more accurate GFR estimation in Indian subjects. Materials and Methods: This cross-sectional study will be conducted in India's two geographically and demographically diverse locations: Chandigarh (north) and Puducherry (south). Participants will include a representative sample from the general population and subjects with chronic kidney disease (CKD), with the latter being recruited from outpatient clinics. A total of 1558 subjects will be enrolled in the discovery and cross-validation cohort and 620 subjects in the external validation cohort. The reference standard for measured GFR (mGFR) will be the plasma clearance of iohexol. Stepwise multiple regression on log-transformed data will determine a set of variables that jointly predict mGFR and identify factors influencing mGFR and estimated (eGFR) in the study population. This study will also explore the performance of mGFR by iohexol measurement from dried blood spots against mGFR from plasma clearance of iohexol. Conclusion: Developing a more reliable and accurate creatinine-based GFR estimating equation will improve CKD diagnosis, classification, and management. The findings will have substantial implications for CKD research in India and other regions with similar populations.

Indexed as

Chronic kidney diseaseCKD-EPIeGFRLohexol

Identifiers

PMID39937212
PMCPMC7616642

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