These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 34060272)

  • 41. The product of triglycerides and glucose in comparison with fasting plasma glucose did not improve diabetes prediction.
    Janghorbani M; Almasi SZ; Amini M
    Acta Diabetol; 2015 Aug; 52(4):781-8. PubMed ID: 25572334
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Selecting the optimal risk threshold of diabetes risk scores to identify high-risk individuals for diabetes prevention: a cost-effectiveness analysis.
    Mühlenbruch K; Zhuo X; Bardenheier B; Shao H; Laxy M; Icks A; Zhang P; Gregg EW; Schulze MB
    Acta Diabetol; 2020 Apr; 57(4):447-454. PubMed ID: 31745647
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Development of a new scoring system for predicting the 5 year incidence of type 2 diabetes in Japan: the Toranomon Hospital Health Management Center Study 6 (TOPICS 6).
    Heianza Y; Arase Y; Hsieh SD; Saito K; Tsuji H; Kodama S; Tanaka S; Ohashi Y; Shimano H; Yamada N; Hara S; Sone H
    Diabetologia; 2012 Dec; 55(12):3213-23. PubMed ID: 22955996
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Comparison of two methods for assessing diabetes risk in a pharmacy setting in Australia.
    Kilkenny MF; Johnson R; Andrew NE; Purvis T; Hicks A; Colagiuri S; Cadilhac DA
    BMC Public Health; 2014 Nov; 14():1227. PubMed ID: 25427845
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Validation of the Framingham hypertension risk score in a middle eastern population: Tehran lipid and glucose study (TLGS).
    Koohi F; Steyerberg EW; Cheraghi L; Abdshah A; Azizi F; Khalili D
    BMC Public Health; 2021 Apr; 21(1):790. PubMed ID: 33894756
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Performance of prediction models for nephropathy in people with type 2 diabetes: systematic review and external validation study.
    Slieker RC; van der Heijden AAWA; Siddiqui MK; Langendoen-Gort M; Nijpels G; Herings R; Feenstra TL; Moons KGM; Bell S; Elders PJ; 't Hart LM; Beulens JWJ
    BMJ; 2021 Sep; 374():n2134. PubMed ID: 34583929
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A combination of HbA1c, fasting glucose and BMI is effective in screening for individuals at risk of future type 2 diabetes: OGTT is not needed.
    Norberg M; Eriksson JW; Lindahl B; Andersson C; Rolandsson O; Stenlund H; Weinehall L
    J Intern Med; 2006 Sep; 260(3):263-71. PubMed ID: 16918824
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Recalibrating the Non-Communicable Diseases risk prediction tools for the rural population of Western India.
    Gupta MK; Raghav P; Tanvir T; Gautam V; Mehto A; Choudhary Y; Mittal A; Singh G; Singh G; Baskaran P; Rehana VR; Jabbar SA; Sridevi S; Goel AD; Bhardwaj P; Saurabh S; Srikanth S; Naveen KH; Prasanna T; Rustagi N; Sharma PP
    BMC Public Health; 2022 Feb; 22(1):376. PubMed ID: 35193546
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Independent external validation of cardiovascular disease mortality in women utilising Framingham and SCORE risk models: a mortality follow-up study.
    Goh LG; Welborn TA; Dhaliwal SS
    BMC Womens Health; 2014 Sep; 14():118. PubMed ID: 25255986
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A more simplified Finnish diabetes risk score for opportunistic screening of undiagnosed type 2 diabetes in a German population with a family history of the metabolic syndrome.
    Li J; Bergmann A; Reimann M; Bornstein SR; Schwarz PE
    Horm Metab Res; 2009 Feb; 41(2):98-103. PubMed ID: 18975253
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.
    Zafari N; Lotfaliany M; Mansournia MA; Khalili D; Azizi F; Hadaegh F
    BMC Public Health; 2018 Jun; 18(1):691. PubMed ID: 29866083
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Development of a clinical risk score for incident diabetes: A 10-year prospective cohort study.
    Oh TJ; Moon JH; Choi SH; Cho YM; Park KS; Cho NH; Jang HC
    J Diabetes Investig; 2021 Apr; 12(4):610-618. PubMed ID: 32750227
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A clinical screening score for diabetic polyneuropathy: KORA F4 and AusDiab studies.
    Bongaerts BW; Ziegler D; Shaw JE; Heier M; Kowall B; Herder C; Roden M; Peters A; Meisinger C; Rathmann W
    J Diabetes Complications; 2015; 29(1):44-9. PubMed ID: 25457462
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Choosing the most appropriate existing type 2 diabetes risk assessment tool for use in the Philippines: a case-control study with an urban Filipino population.
    Agarwal G; Guingona MM; Gaber J; Angeles R; Rao S; Cristobal F
    BMC Public Health; 2019 Aug; 19(1):1169. PubMed ID: 31455247
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Assessment of diabetes knowledge, screening and uptake of community diabetes programs in a peri-urban region in Australia.
    Osuagwu UL; Sharma S; Silva D; Saunders J; Pillay J; Piya MK; Simmons D
    Diabetes Metab Syndr; 2021; 15(5):102257. PubMed ID: 34425557
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Evaluation of the modified FINDRISC to identify individuals at high risk for diabetes among middle-aged white and black ARIC study participants.
    Kulkarni M; Foraker RE; McNeill AM; Girman C; Golden SH; Rosamond WD; Duncan B; Schmidt MI; Tuomilehto J
    Diabetes Obes Metab; 2017 Sep; 19(9):1260-1266. PubMed ID: 28321981
    [TBL] [Abstract][Full Text] [Related]  

  • 57. A two-step strategy for identification of high-risk subjects for a clinical trial of prevention of NIDDM.
    Narayan KM; Hanson RL; Pettitt DJ; Bennett PH; Knowler WC
    Diabetes Care; 1996 Sep; 19(9):972-8. PubMed ID: 8875091
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Derivation and validation of diabetes risk score for urban Asian Indians.
    Ramachandran A; Snehalatha C; Vijay V; Wareham NJ; Colagiuri S
    Diabetes Res Clin Pract; 2005 Oct; 70(1):63-70. PubMed ID: 16126124
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Detection of high risk people for diabetes by American diabetes association risk score in PERSIAN Guilan cohort study.
    Hasandokht T; Joukar F; Maroufizadeh S; Sibeveih Z; Naghipour M; Hedayaztadeh Z; Mansour-Ghanaei F
    BMC Endocr Disord; 2023 Jan; 23(1):12. PubMed ID: 36627658
    [TBL] [Abstract][Full Text] [Related]  

  • 60. HbA1c, fasting plasma glucose and the prediction of diabetes: Inter99, AusDiab and D.E.S.I.R.
    Soulimane S; Simon D; Shaw J; Witte D; Zimmet P; Vol S; Borch-Johnsen K; Magliano D; Vistisen D; Balkau B
    Diabetes Res Clin Pract; 2012 Jun; 96(3):392-9. PubMed ID: 21741107
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.