Evidence map›Paper›PMID 41879422›Full record

ArticleTranslational vision science & technology2026

The Relationship of the Red Cell Distribution Width-to-Albumin Ratio and Other Inflammatory Markers With Cataracts: An Analysis of the NHANES Population.

Yao Kong, Zifeng Xu, Yanxin Xu, Shuoxian Chen, Yingying Liang, Xinrui Zou, Shitong Huang, Yu Jiang, Yunxia Leng, Zongyin Gao

Abstract read
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Article in Translational vision science & technology, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yao KongDepartment of Ophthalmology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Zifeng XuDepartment of Urology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yanxin XuDepartment of Ophthalmology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Shuoxian ChenDepartment of Ophthalmology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yingying LiangDepartment of Ophthalmology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Xinrui ZouDepartment of Ophthalmology, Guangzhou First People's Hospital, Guangdong Medical University, Guangzhou, China.
Shitong HuangDepartment of Ophthalmology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yu JiangDepartment of Ophthalmology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yunxia LengDepartment of Ophthalmology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Zongyin GaoDepartment of Ophthalmology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to explore the relationship between the ratio of red cell distribution width to albumin (RAR) and cataract risk. Methods: We analyzed 13,031 participants from the National Health and Nutrition Examination Survey 1999-2008. The RAR was evaluated as a composite marker of systemic inflammation and nutritional status. Multivariable logistic regression and receiver operating characteristic analysis were used to assess the association and discriminative ability of the RAR compared with other inflammatory markers. Results: The findings indicated a positive link between higher RAR levels and the risk of cataracts, with a nonlinear relationship exhibiting an inverted U shape. Individuals in the higher quartiles of the RAR were observed to have a significantly greater risk of cataracts compared with those in the lower quartiles. The area under the curve for the RAR in predicting cataracts was determined to be 0.601, suggesting a greater predictive capability compared with other inflammatory markers, including the neutrophil-to-lymphocyte ratio and the Systemic Immune Inflammation Index. Conclusions: A higher RAR is significantly associated with moderate-to-severe cataracts. An RAR threshold of >3.025 may serve as a practical metric for identifying high-risk individuals, particularly among those aged ≥50 years. Translational Relevance: As a routine and cost-effective marker of inflammation and nutrition, the red cell distribution width-to-albumin ratio offers a practical tool to support cataract risk stratification and early identification in primary care settings.

Indexed as

AlbuminsBiomarkersCataractErythrocyte IndicesInflammationSerum AlbuminAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsROC CurveAlbuminsBiomarkersSerum Albumin

Identifiers

PMID41879422
PMCPMC13034998

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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.