Cargando…
Evaluation of the value of conventional and unconventional lipid parameters for predicting the risk of diabetes in a non-diabetic population
BACKGROUND: Conventional and unconventional lipid parameters are associated with diabetes risk, the comparative studies on lipid parameters for predicting future diabetes risk, however, are still extremely limited, and the value of conventional and unconventional lipid parameters in predicting futur...
Autores principales: | Sheng, Guotai, Kuang, Maobin, Yang, Ruijuan, Zhong, Yanjia, Zhang, Shuhua, Zou, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188037/ https://www.ncbi.nlm.nih.gov/pubmed/35690771 http://dx.doi.org/10.1186/s12967-022-03470-z |
Ejemplares similares
-
Utility of Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio in Evaluating Incident Diabetes Risk
por: Sheng, Guotai, et al.
Publicado: (2022) -
Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population
por: Kuang, Maobin, et al.
Publicado: (2023) -
The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics
por: Qiu, Jiajun, et al.
Publicado: (2023) -
Assessing temporal differences in the predictive power of baseline TyG-related parameters for future diabetes: an analysis using time-dependent receiver operating characteristics
por: Kuang, Maobin, et al.
Publicado: (2023) -
Assessing the usefulness of a newly proposed metabolic score for visceral fat in predicting future diabetes: results from the NAGALA cohort study
por: Yang, Ruijuan, et al.
Publicado: (2023)