{"title":"Analysis of the detection rate and related factors of thyroid nodules in the healthy population.","authors":"Dandan Han, Yu Zhang, Yanyan Zhang, Yongbin Pei, Xiaojing Huang, Lijie Qin, Yayu Zhuo","doi":"10.1515/biol-2025-1079","DOIUrl":null,"url":null,"abstract":"<p><p>In a cross-sectional analysis of 14,973 adults from North China, thyroid nodules (TNs) were detected via high-resolution ultrasonography in 8,104 participants (54.1%), with a higher prevalence among women. The mean age of those with TNs was significantly higher (51.39 ± 15.41 vs 41.83 ± 12.43 years, <i>p</i> < 0.001). Univariate analyses indicated that female sex (OR ≈ 2.0), older age (OR ≈ 1.03 per year), elevated low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol, and higher BMI were significantly linked to TNs. In contrast, total cholesterol and uric acid did not reach significance in the final model. A nomogram incorporating these risk factors demonstrated moderate predictive performance (AUC = 0.84 in the training set; 0.78 in the validation set). While the study's large sample size is a strength, its cross-sectional design limits conclusions about causality, and potential overfitting cannot be excluded. Future research should include thyroid hormone measurements, external validation of the nomogram, and longitudinal follow-up to clarify the role of metabolic factors. These findings highlight the importance of age, sex, and metabolic profiles - particularly dyslipidemia and obesity - in screening for TNs during routine health examinations.</p>","PeriodicalId":19605,"journal":{"name":"Open Life Sciences","volume":"20 1","pages":"20251079"},"PeriodicalIF":1.7000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12326299/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Life Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1515/biol-2025-1079","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In a cross-sectional analysis of 14,973 adults from North China, thyroid nodules (TNs) were detected via high-resolution ultrasonography in 8,104 participants (54.1%), with a higher prevalence among women. The mean age of those with TNs was significantly higher (51.39 ± 15.41 vs 41.83 ± 12.43 years, p < 0.001). Univariate analyses indicated that female sex (OR ≈ 2.0), older age (OR ≈ 1.03 per year), elevated low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol, and higher BMI were significantly linked to TNs. In contrast, total cholesterol and uric acid did not reach significance in the final model. A nomogram incorporating these risk factors demonstrated moderate predictive performance (AUC = 0.84 in the training set; 0.78 in the validation set). While the study's large sample size is a strength, its cross-sectional design limits conclusions about causality, and potential overfitting cannot be excluded. Future research should include thyroid hormone measurements, external validation of the nomogram, and longitudinal follow-up to clarify the role of metabolic factors. These findings highlight the importance of age, sex, and metabolic profiles - particularly dyslipidemia and obesity - in screening for TNs during routine health examinations.
期刊介绍:
Open Life Sciences (previously Central European Journal of Biology) is a fast growing peer-reviewed journal, devoted to scholarly research in all areas of life sciences, such as molecular biology, plant science, biotechnology, cell biology, biochemistry, biophysics, microbiology and virology, ecology, differentiation and development, genetics and many others. Open Life Sciences assures top quality of published data through critical peer review and editorial involvement throughout the whole publication process. Thanks to the Open Access model of publishing, it also offers unrestricted access to published articles for all users.