BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 38004193)

  • 1. Association between Asymptomatic Hyperuricemia with Adiposity Indices: A Cross-Sectional Study in a Spanish Population.
    Sánchez-Bacaicoa C; Santano-Mogena E; Rico-Martín S; Rey-Sánchez P; Juárez-Vela R; Sánchez Muñoz-Torrero JF; López-Espuela F; Calderón-García JF
    Nutrients; 2023 Nov; 15(22):. PubMed ID: 38004193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Association between anthropometric indices and hyperuricemia: a nationwide study in China.
    Chen D; Lu C; Chen K; Liu T; Li Y; Shan Z; Teng W;
    Clin Rheumatol; 2024 Mar; 43(3):907-920. PubMed ID: 38315297
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sex Difference in the Associations among Obesity-Related Indices with Hyperuricemia in a Large Taiwanese Population Study.
    Su SY; Lin TH; Liu YH; Wu PY; Huang JC; Su HM; Chen SC
    Nutrients; 2023 Aug; 15(15):. PubMed ID: 37571356
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Relationship between the novel and traditional anthropometric indices and subclinical atherosclerosis evaluated by carotid intima-media thickness (c-IMT).
    Costo-Muriel C; Calderón-García JF; Rico-Martín S; Galán-González J; Escudero-Sánchez G; Sánchez-Bacaicoa C; Rodríguez-Velasco FJ; Santano-Mogena E; Fonseca C; Muñoz-Torrero JFS
    Front Nutr; 2023; 10():1170450. PubMed ID: 37457970
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Association of Subclinical Carotid Atherosclerosis Assessed by High-Resolution Ultrasound With Traditional and Novel Anthropometric Indices.
    Costo-Muriel C; Calderón-García JF; Rico-Martín S; Sánchez-Bacaicoa C; Escudero-Sánchez G; Galán-González J; Rodríguez-Velasco FJ; Sánchez Muñoz-Torrero JF
    Curr Probl Cardiol; 2023 Apr; 48(4):101574. PubMed ID: 36584728
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Body Shape Index and Body Roundness Index: Two new body indices for detecting association between obesity and hyperuricemia in rural area of China.
    Zhang N; Chang Y; Guo X; Chen Y; Ye N; Sun Y
    Eur J Intern Med; 2016 Apr; 29():32-6. PubMed ID: 26895753
    [TBL] [Abstract][Full Text] [Related]  

  • 7. New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults.
    Wang F; Chen Y; Chang Y; Sun G; Sun Y
    BMC Cardiovasc Disord; 2018 Jan; 18(1):14. PubMed ID: 29378513
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009.
    Tian S; Zhang X; Xu Y; Dong H
    Medicine (Baltimore); 2016 Aug; 95(34):e4642. PubMed ID: 27559964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers.
    Sekgala MD; Opperman M; Mpahleni B; Mchiza ZJ
    Front Nutr; 2022; 9():974749. PubMed ID: 36034933
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults.
    Zhang J; Fang L; Qiu L; Huang L; Zhu W; Yu Y
    Atherosclerosis; 2017 Aug; 263():263-271. PubMed ID: 28704699
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Body Roundness Index Is a Superior Obesity Index in Predicting Diabetes Risk Among Hypertensive Patients: A Prospective Cohort Study in China.
    Liu Y; Liu X; Guan H; Zhang S; Zhu Q; Fu X; Chen H; Tang S; Feng Y; Kuang J
    Front Cardiovasc Med; 2021; 8():736073. PubMed ID: 34869638
    [No Abstract]   [Full Text] [Related]  

  • 12. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China.
    Tian T; Zhang J; Zhu Q; Xie W; Wang Y; Dai Y
    BMC Public Health; 2020 Aug; 20(1):1317. PubMed ID: 32867710
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome.
    Suliga E; Ciesla E; Głuszek-Osuch M; Rogula T; Głuszek S; Kozieł D
    Nutrients; 2019 Oct; 11(11):. PubMed ID: 31671800
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dietary fat types consumption association with obesity and coronary indices.
    Al-Shami I; Al-Dalaeen A; Alkhatib B; Agraib LM
    J Nutr Sci; 2023; 12():e110. PubMed ID: 37964980
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of visceral, general and central obesity indices in the prediction of metabolic syndrome in maintenance hemodialysis patients.
    Zhou C; Zhan L; Yuan J; Tong X; Peng Y; Zha Y
    Eat Weight Disord; 2020 Jun; 25(3):727-734. PubMed ID: 30968371
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Associations of vitamin D with novel and traditional anthropometric indices according to age and sex: a cross-sectional study in central southern China.
    Zhu XL; Chen ZH; Li Y; Yang PT; Liu L; Wu LX; Wang YQ
    Eat Weight Disord; 2020 Dec; 25(6):1651-1661. PubMed ID: 31728924
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Body Adiposity Index and Body Roundness Index in Identifying Insulin Resistance Among Adults Without Diabetes.
    Feng J; He S; Chen X
    Am J Med Sci; 2019 Feb; 357(2):116-123. PubMed ID: 30665492
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Screening value and correlation of body measurement indices for metabolic syndrome in the population undergoing physical examinations in Chengdu during 2018-2020].
    Xue J; Ni G; Liu Y; Wan Z; Sun P
    Wei Sheng Yan Jiu; 2024 Jan; 53(1):21-29. PubMed ID: 38443169
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.
    Ononamadu CJ; Ezekwesili CN; Onyeukwu OF; Umeoguaju UF; Ezeigwe OC; Ihegboro GO
    Cardiovasc J Afr; 2017 Mar/Apr 23; 28(2):92-99. PubMed ID: 27701484
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using different anthropometric indices to assess prediction ability of type 2 diabetes in elderly population: a 5 year prospective study.
    Yang J; Wang F; Wang J; Han X; Hu H; Yu C; Yuan J; Yao P; Miao X; Wei S; Wang Y; Chen W; Liang Y; Guo H; Zhang X; Zheng D; Tang Y; Yang H; He M
    BMC Geriatr; 2018 Sep; 18(1):218. PubMed ID: 30223783
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.