Evidence map›Paper›PMID 40853972›Full record

ArticlePloS one2025

Disparities in chronic kidney disease burden estimates: From different sources, definitions, and equations.

Yao Ma, Xiang Wang, Weihong Zhao

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

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

3 authors.

Yao MaDivision of Nephrology, Department of Geriatrics, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, China.
Xiang WangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Weihong ZhaoDivision of Nephrology, Department of Geriatrics, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, China.ORCID https://orcid.org/0000-0001-8211-2900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Global Burden of Disease (GBD) study provides updated epidemiological descriptions of chronic kidney disease (CKD), yet the discrepancies between its estimates and those from other sources remain unclear. Furthermore, attention is required due to the specificity of standard and computational tool for glomerular filtration rate (GFR). We aimed to evaluate CKD burden from various sources, definitions, and equations.

methodsThis study analyzed CKD prevalence among US adults from 1999 to 2018, using data from the GBD study 2021 and the National Health and Nutrition Examination Survey (NHANES). We calculated average prevalence and estimated annual percentage change (EAPC) for the total population and by sex. The analysis was repeated using different definitions and equations. Additionally, a literature review was conducted to extend the comparison to a global scale.

resultsAmong US adults, the annual average estimates from the GBD and NHANES were similar, while long-term trends diverged, with disparities becoming more evident in sex-specific subgroups. Removal of racial coefficients led to an increase in the estimated CKD prevalence in Black individuals, while a decrease was observed in White individuals. The EKFC equation yielded the highest average and single-cycle CKD prevalence. Applying age-adapted thresholds reduced the prevalence of low estimated GFR (eGFR<threshold(s)) by approximately 50%, with numbers of older women reclassified into non-CKD categories.

conclusionsThis study highlights the differences in estimated CKD prevalence across various sources. Age-adjusted thresholds and the flexible EKFC equation hold promise for future applications in both epidemiological research and clinical practice.

Indexed as

Renal Insufficiency, ChronicAdultAgedFemaleGlobal Burden of DiseaseGlomerular Filtration RateHumansMaleMiddle AgedNutrition SurveysPrevalenceUnited StatesYoung Adult

Identifiers

PMID40853972
PMCPMC12377590

What Socratic holds

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