NHANES Inflammatory Biomarkers and Cataract Surgery Associations, 2005-2008
by Jingjing Ding·Updated 1mo ago
22.4 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
8,194 participants from the 2005–2008 NHANES cycles were analyzed to investigate links between inflammatory biomarkers and cataract surgery history. The study by Jingjing Ding, validated with a clinical cohort, found positive linear associations for log-transformed AISI, NAR, and MAR with cataract surgery prevalence. The dataset, last updated in April 2026, is a 22.4 KB document containing the study's tabular results.
Use Cases
Validate associations between inflammatory indices like MAR and cataract risk based on the NHANES analysis.
Conduct subgroup analyses for age, gender, or health conditions based on the described methodology.
Assess the predictive utility of biomarkers for cataract surgery using ROC curve analysis as described.
Replicate sensitivity analyses to test the robustness of biomarker-cataract associations.
Strengths
Includes data from 8,194 participants from a nationally representative survey (NHANES).
Findings were validated using a separate clinical cohort, as stated in the description.
The study employed multivariate logistic regression, RCS, and subgroup analyses for robustness.
Limitations
The dataset is a 22.4 KB DOCX file; the underlying tabular data's structure and column definitions are not provided.
Row count for the primary analytical dataset is unknown, limiting scale assessment.
The discriminatory ability of the biomarkers (AUC=0.592 for Ln-MAR) was described as modest.
Provenance
Source
National Health and Nutrition Examination Survey (NHANES) database and a clinical cohort.
Collection Method
Cross-sectional analysis of NHANES 2005-2008 cycles with subsequent clinical validation.
Time Range
2005-2008 for the primary NHANES analysis.
Freshness
Last updated 2026-04-28 04:29:19
Geography
United States (NHANES).
The primary file is a DOCX document; the actual analysis tables may require extraction.