Evidence map›Paper›PMID 39145317›Full record

ArticleFrontiers in endocrinology2024

Association between oxidative balance score and diabetic kidney disease, low estimated glomerular filtration rate and albuminuria in type 2 diabetes mellitus patients: a cross-sectional study.

Cong Liu, Jiju Yang, Hongdian Li, Yuanyuan Deng, Pengfei He, Jiao Zhang, Mianzhi Zhang

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Cong Liu *Department of Nephrology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.
Jiju Yang *Graduate School of Beijing University of Chinese Medicine, Beijing, China.
Hongdian LiDepartment of Nephrology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.
Yuanyuan DengDepartment of Nephrology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
Pengfei HeDepartment of Nephrology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.
Jiao ZhangDepartment of Nephrology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.
Mianzhi ZhangDepartment of Nephrology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The oxidative balance score (OBS) is a comprehensive concept that includes 20 oxidative stressors and can be used to assess individual pro-oxidant versus antioxidant exposure, and the aim of the present study was to investigate the association between OBS and the risk of diabetic kidney disease (DKD), low estimated glomerular filtration rate (low-eGFR) and albuminuria in patients with diabetes mellitus (DM). Methods: This cross-sectional study included nationally representative consecutive National Health and Nutrition Examination Survey DM patients aged 18 years and older from 2003-2018. The continuous variable OBS was converted into categorical variables by quartiles, and weighted multiple logistic regression analyses and restricted triple spline models were used to explore the relationships. We also performed subgroup analyses and interaction tests to verify the stability of the results. Results: A total of 5389 participants were included, representing 23.6 million non-institutionalized US residents. The results from both multivariate logistic regression analysis and restricted cubic spline models indicated that OBS and dietary OBS levels were negatively associated with the risk of DKD, low-eGFR, and albuminuria, without finding a significant correlation between lifestyle OBS and these clinical outcomes. Compared to the lowest OBS quartile group, the prevalence risk of DKD (OR = 0.61, 95% CI: 0.46-0.80), low-eGFR (OR = 0.46, 95% CI: 0.33-0.64) and albuminuria (OR = 0.68, 95% CI: 0.51-0.92) decreased by 39%, 54% and 32%, respectively, in the highest OBS quartile group. The results remained stable in subgroup analyses and no interaction between subgroups was found. Conclusion: Higher levels of OBS and dietary OBS were associated with a lower risk of DKD, low-eGFR, and albuminuria. These findings provided preliminary evidence for the importance of adhering to an antioxidant-rich diet and lifestyle among individuals with diabetes.

Indexed as

AlbuminuriaDiabetes Mellitus, Type 2Diabetic NephropathiesGlomerular Filtration RateOxidative StressAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk Factorscross-sectional studydiabetic kidney diseaseNHANESoxidative balance scoretype 2 diabetes mellitus

Identifiers

PMID39145317
PMCPMC11322072

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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.