Observational studyInternational urology and nephrology2024
Predictive power of lipid-related indicators for testosterone deficiency: a comparative analysis, NHANES 2011-2016.
Observational study in International urology and nephrology, 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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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Exploration of acetylation-related biomarkers in osteoarthritis through bioinformatics analysis.PloS one · 2026Article
- Depression mediates the association between lipid accumulation products and overactive bladder.Scientific reports · 2025Article
- Exploring the impact of lipid stress on sperm cytoskeleton: insights and prospects.Nature reviews. Urology · 2025Review
- Association between cardiometabolic index and risk of testosterone deficiency in adult men: a cross-sectional study.BMC public health · 2025Article
- Association between lipid accumulation products and gallstones: an analysis of the National Health and Nutrition Examination Survey 2017-2020.BMC gastroenterology · 2024Article
- Association between cardiometabolic index and testosterone levels in adult men: NHANES 2011-2016.PloS one · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStudies have shown that lipid-related indicators are associated with testosterone deficiency. However, it is difficult to determine which indicator is the most accurate predictor of testosterone deficiency. We aimed to identify the lipid-related indicators most predictive of testosterone deficiency in adults in the United States.
methodsThis observational research was conducted on a population aged ≥ 20 years. By plotting the receiver operating characteristic curve (ROC) and obtaining the corresponding area under the curve (AUC) value, we assessed the predictive capacity of TyG, WTI, LAP, and VAI for testosterone deficiency. We compared the area under the curve (AUC) values of these measures to determine if there were any statistically significant differences. The relationship between lipid-related indices and testosterone hormones was investigated using regression modeling, eXtreme Gradient Boosting (XGBoost) modeling, and sensitivity analysis.
resultsA total of 3,272 eligible participants were included in the study. Testosterone deficiency was found to exist in 20.63% of the participants. Subjects with higher lipid-related markers were more likely to have lower testosterone levels. LAP was the best predictor of testosterone deficiency in ROC analysis over other indicators (AUC = 0.7176, (95% CI: 0.6964-0.7389)).
conclusionLAP is the most straightforward and convenient indicator for identifying testosterone deficiency in clinical practice.
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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.