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 *

195 related articles for article (PubMed ID: 24622666)

  • 1. Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models.
    Kengne AP; Beulens JW; Peelen LM; Moons KG; van der Schouw YT; Schulze MB; Spijkerman AM; Griffin SJ; Grobbee DE; Palla L; Tormo MJ; Arriola L; Barengo NC; Barricarte A; Boeing H; Bonet C; Clavel-Chapelon F; Dartois L; Fagherazzi G; Franks PW; Huerta JM; Kaaks R; Key TJ; Khaw KT; Li K; Mühlenbruch K; Nilsson PM; Overvad K; Overvad TF; Palli D; Panico S; Quirós JR; Rolandsson O; Roswall N; Sacerdote C; Sánchez MJ; Slimani N; Tagliabue G; Tjønneland A; Tumino R; van der A DL; Forouhi NG; Sharp SJ; Langenberg C; Riboli E; Wareham NJ
    Lancet Diabetes Endocrinol; 2014 Jan; 2(1):19-29. PubMed ID: 24622666
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Establishing a noninvasive prediction model for type 2 diabetes mellitus based on a rural Chinese population].
    Zhang HY; Shi WH; Zhang M; Yin L; Pang C; Feng TP; Zhang L; Ren YC; Wang BY; Yang XY; Zhou JM; Han CY; Zhao Y; Zhao JZ; Hu DS
    Zhonghua Yu Fang Yi Xue Za Zhi; 2016 May; 50(5):397-403. PubMed ID: 27141894
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.
    ; Wormser D; Kaptoge S; Di Angelantonio E; Wood AM; Pennells L; Thompson A; Sarwar N; Kizer JR; Lawlor DA; Nordestgaard BG; Ridker P; Salomaa V; Stevens J; Woodward M; Sattar N; Collins R; Thompson SG; Whitlock G; Danesh J
    Lancet; 2011 Mar; 377(9771):1085-95. PubMed ID: 21397319
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Body adiposity index, body fat content and incidence of type 2 diabetes.
    Schulze MB; Thorand B; Fritsche A; Häring HU; Schick F; Zierer A; Rathmann W; Kröger J; Peters A; Boeing H; Stefan N
    Diabetologia; 2012 Jun; 55(6):1660-7. PubMed ID: 22349074
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Long-term risk of incident type 2 diabetes and measures of overall and regional obesity: the EPIC-InterAct case-cohort study.
    ; Langenberg C; Sharp SJ; Schulze MB; Rolandsson O; Overvad K; Forouhi NG; Spranger J; Drogan D; Huerta JM; Arriola L; de Lauzon-Guillan B; Tormo MJ; Ardanaz E; Balkau B; Beulens JW; Boeing H; Bueno-de-Mesquita HB; Clavel-Chapelon F; Crowe FL; Franks PW; Gonzalez CA; Grioni S; Halkjaer J; Hallmans G; Kaaks R; Kerrison ND; Key TJ; Khaw KT; Mattiello A; Nilsson P; Norat T; Palla L; Palli D; Panico S; Quirós JR; Romaguera D; Romieu I; Sacerdote C; Sánchez MJ; Slimani N; Sluijs I; Spijkerman AM; Teucher B; Tjonneland A; Tumino R; van der A DL; van der Schouw YT; Feskens EJ; Riboli E; Wareham NJ
    PLoS Med; 2012; 9(6):e1001230. PubMed ID: 22679397
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Design and cohort description of the InterAct Project: an examination of the interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study.
    ; Langenberg C; Sharp S; Forouhi NG; Franks PW; Schulze MB; Kerrison N; Ekelund U; Barroso I; Panico S; Tormo MJ; Spranger J; Griffin S; van der Schouw YT; Amiano P; Ardanaz E; Arriola L; Balkau B; Barricarte A; Beulens JW; Boeing H; Bueno-de-Mesquita HB; Buijsse B; Chirlaque Lopez MD; Clavel-Chapelon F; Crowe FL; de Lauzon-Guillan B; Deloukas P; Dorronsoro M; Drogan D; Froguel P; Gonzalez C; Grioni S; Groop L; Groves C; Hainaut P; Halkjaer J; Hallmans G; Hansen T; Huerta Castaño JM; Kaaks R; Key TJ; Khaw KT; Koulman A; Mattiello A; Navarro C; Nilsson P; Norat T; Overvad K; Palla L; Palli D; Pedersen O; Peeters PH; Quirós JR; Ramachandran A; Rodriguez-Suarez L; Rolandsson O; Romaguera D; Romieu I; Sacerdote C; Sánchez MJ; Sandbaek A; Slimani N; Sluijs I; Spijkerman AM; Teucher B; Tjonneland A; Tumino R; van der A DL; Verschuren WM; Tuomilehto J; Feskens E; McCarthy M; Riboli E; Wareham NJ
    Diabetologia; 2011 Sep; 54(9):2272-82. PubMed ID: 21717116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Low muscle mass and risk of type 2 diabetes in middle-aged and older adults: findings from the KoGES.
    Son JW; Lee SS; Kim SR; Yoo SJ; Cha BY; Son HY; Cho NH
    Diabetologia; 2017 May; 60(5):865-872. PubMed ID: 28102434
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Body mass index, waist circumference, body adiposity index, and risk for type 2 diabetes in two populations in Brazil: general and Amerindian.
    Alvim Rde O; Mourao-Junior CA; de Oliveira CM; Krieger JE; Mill JG; Pereira AC
    PLoS One; 2014; 9(6):e100223. PubMed ID: 24937307
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Body mass index, waist circumference, and the risk of type 2 diabetes mellitus: implications for routine clinical practice.
    Feller S; Boeing H; Pischon T
    Dtsch Arztebl Int; 2010 Jul; 107(26):470-6. PubMed ID: 20644701
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women.
    Wannamethee SG; Papacosta O; Whincup PH; Carson C; Thomas MC; Lawlor DA; Ebrahim S; Sattar N
    Diabetologia; 2010 May; 53(5):890-8. PubMed ID: 20146052
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study.
    Hippisley-Cox J; Coupland C
    BMJ; 2017 Nov; 359():j5019. PubMed ID: 29158232
    [No Abstract]   [Full Text] [Related]  

  • 12. Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study.
    Bozorgmanesh M; Hadaegh F; Azizi F
    Lipids Health Dis; 2010 May; 9():45. PubMed ID: 20459710
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study.
    Abbasi A; Peelen LM; Corpeleijn E; van der Schouw YT; Stolk RP; Spijkerman AM; van der A DL; Moons KG; Navis G; Bakker SJ; Beulens JW
    BMJ; 2012 Sep; 345():e5900. PubMed ID: 22990994
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spousal cardiometabolic risk factors and incidence of type 2 diabetes: a prospective analysis from the English Longitudinal Study of Ageing.
    Nielsen J; Hulman A; Witte DR
    Diabetologia; 2018 Jul; 61(7):1572-1580. PubMed ID: 29520580
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ethnicity-specific obesity cut-points in the development of Type 2 diabetes - a prospective study including three ethnic groups in the United Kingdom.
    Tillin T; Sattar N; Godsland IF; Hughes AD; Chaturvedi N; Forouhi NG
    Diabet Med; 2015 Feb; 32(2):226-34. PubMed ID: 25186015
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Physical activity reduces the risk of incident type 2 diabetes in general and in abdominally lean and obese men and women: the EPIC-InterAct Study.
    ; Ekelund U; Palla L; Brage S; Franks PW; Peters T; Balkau B; Diaz MJ; Huerta JM; Agnoli C; Arriola L; Ardanaz E; Boeing H; Clavel-Chapelon F; Crowe F; Fagherazzi G; Groop L; Føns Johnsen N; Kaaks R; Khaw KT; Key TJ; de Lauzon-Guillain B; May A; Monninkhof E; Navarro C; Nilsson P; Nautrup Østergaard J; Norat T; Overvad K; Palli D; Panico S; Redondo ML; Ricceri F; Rolandsson O; Romaguera D; Romieu I; Sánchez Pérez MJ; Slimani N; Spijkerman A; Teucher B; Tjonneland A; Travier N; Tumino R; Vos W; Vigl M; Sharp S; Langeberg C; Forouhi N; Riboli E; Feskens E; Wareham NJ
    Diabetologia; 2012 Jul; 55(7):1944-52. PubMed ID: 22526603
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Anthropometric indices predicting incident type 2 diabetes in an Iranian population: the Isfahan Cohort Study.
    Talaei M; Sadeghi M; Marshall T; Thomas GN; Iranipour R; Nazarat N; Sarrafzadegan N
    Diabetes Metab; 2013 Oct; 39(5):424-31. PubMed ID: 23867722
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.