BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 32547137)

  • 1. Glycosylated Hemoglobin A1c Improves the Performance of the Nomogram for Predicting the 5-Year Incidence of Type 2 Diabetes.
    Ma CM; Yin FZ
    Diabetes Metab Syndr Obes; 2020; 13():1753-1762. PubMed ID: 32547137
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a nomogram to predict the risk of peripheral artery disease in patients with type 2 diabetes mellitus.
    Liang J; Song J; Sun T; Zhang L; Xu S
    Front Endocrinol (Lausanne); 2022; 13():1059753. PubMed ID: 36578962
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nomogram Prediction for the Risk of Diabetic Foot in Patients With Type 2 Diabetes Mellitus.
    Wang J; Xue T; Li H; Guo S
    Front Endocrinol (Lausanne); 2022; 13():890057. PubMed ID: 35909507
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study.
    Cai XT; Ji LW; Liu SS; Wang MR; Heizhati M; Li NF
    Diabetes Metab Syndr Obes; 2021; 14():2087-2101. PubMed ID: 34007195
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and validation of a novel nomogram for prediction of ketosis-prone type 2 diabetes.
    Min R; Liao Y; Peng B
    Front Endocrinol (Lausanne); 2023; 14():1235048. PubMed ID: 37829685
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a nomogram based on the hospital information system for quantitative assessment of the risk of cardiocerebrovascular complications of diabetes.
    Xi X; Yin G; Wang X; Li X
    Ann Transl Med; 2022 Jun; 10(12):675. PubMed ID: 35845535
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A nomogram model for predicting malnutrition among older hospitalized patients with type 2 diabetes: a cross-sectional study in China.
    Ran Q; Zhao X; Tian J; Gong S; Zhang X
    BMC Geriatr; 2023 Sep; 23(1):565. PubMed ID: 37715131
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Nomogram for Prediction of Diabetic Retinopathy Among Type 2 Diabetes Population in Xinjiang, China.
    Li Y; Li C; Zhao S; Yin Y; Zhang X; Wang K
    Diabetes Metab Syndr Obes; 2022; 15():1077-1089. PubMed ID: 35418766
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Establishment of Clinical Prediction Model Based on the Study of Risk Factors of Stroke in Patients With Type 2 Diabetes Mellitus.
    Shi R; Zhang T; Sun H; Hu F
    Front Endocrinol (Lausanne); 2020; 11():559. PubMed ID: 32982965
    [No Abstract]   [Full Text] [Related]  

  • 10. Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China.
    Meng Q; Yang J; Wang F; Li C; Sang G; Liu H; Shen D; Zhang J; Jiang S; Yusufu A; Du G
    Diabetes Metab Syndr Obes; 2023; 16():1271-1282. PubMed ID: 37168834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Risk factor analysis and nomogram for predicting gastroparesis in patients with type 2 diabetes mellitus.
    Yuan HL; Zhang X; Chu WW; Lin GB; Xu CX
    Heliyon; 2024 Feb; 10(4):e26221. PubMed ID: 38390180
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Training and External Validation of a Predict Nomogram for Type 2 Diabetic Peripheral Neuropathy.
    Li Y; Li Y; Deng N; Shi H; Caika S; Sen G
    Diagnostics (Basel); 2023 Mar; 13(7):. PubMed ID: 37046484
    [No Abstract]   [Full Text] [Related]  

  • 13. The risk factors and predictive nomogram of human albumin infusion during the perioperative period of posterior lumbar interbody fusion: a study based on 2015-2020 data from a local hospital.
    Liu B; Pan J; Zong H; Wang Z
    J Orthop Surg Res; 2021 Oct; 16(1):654. PubMed ID: 34717707
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and Validation of a Nomogram Predicting the Prognosis of Renal Cell Carcinoma After Nephrectomy.
    Xia M; Yang H; Wang Y; Yin K; Bian X; Chen J; Shuang W
    Cancer Manag Res; 2020; 12():4461-4473. PubMed ID: 32606940
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of a multivariable risk prediction model for identifying ketosis-prone type 2 diabetes.
    Zheng J; Shen S; Xu H; Zhao Y; Hu Y; Xing Y; Song Y; Wu X
    J Diabetes; 2023 Sep; 15(9):753-764. PubMed ID: 37165751
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and Validation of a Model That Predicts the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study.
    Yang J; Jiang S
    Int J Gen Med; 2022; 15():5089-5101. PubMed ID: 35645579
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of nomograms for predicting survival of elderly patients with stage I small-cell lung cancer.
    Yang Y; Sun S; Wang Y; Xiong F; Xiao Y; Huang J
    Bosn J Basic Med Sci; 2021 Oct; 21(5):632-641. PubMed ID: 33577444
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nomogram prediction for the 3-year risk of type 2 diabetes in healthy mainland China residents.
    Wang K; Gong M; Xie S; Zhang M; Zheng H; Zhao X; Liu C
    EPMA J; 2019 Sep; 10(3):227-237. PubMed ID: 31462940
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and Validation of a Risk Nomogram Model for Predicting Constipation in Patients with Type 2 Diabetes Mellitus.
    Yuan HL; Zhang X; Peng DZ; Lin GB; Li HH; Li FX; Lu JJ; Chu WW
    Diabetes Metab Syndr Obes; 2023; 16():1109-1120. PubMed ID: 37114216
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of nomograms to accurately predict risk of recurrence for patients with laryngeal squamous cell carcinoma: Cohort study.
    Cui J; Wang L; Tan G; Chen W; He G; Huang H; Chen Z; Yang H; Chen J; Liu G
    Int J Surg; 2020 Apr; 76():163-170. PubMed ID: 32173614
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.