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Volumn 2, Issue 1, 2014, Pages 19-29

Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): A validation of existing models

(46)  Kengne, Andre Pascal a,b,c   Beulens, Joline W J a   Peelen, Linda M a   Moons, Karel G M a   van der Schouw, Yvonne T a   Schulze, Matthias B d   Spijkerman, Annemieke M W e   Griffin, Simon J f   Grobbee, Diederick E a   Palla, Luigi f   Tormo, Maria Jose g   Arriola, Larraitz h   Barengo, Noël C i   Barricarte, Aurelio j   Boeing, Heiner d   Bonet, Catalina k   Clavel Chapelon, Françoise l   Dartois, Laureen l   Fagherazzi, Guy l   Franks, Paul W m   more..


Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE; ARTICLE; ATHEROSCLEROSIS RISK IN COMMUNITIES RISK SCORE; AUSTRALIAN TYPE 2 DIABETES RISK ASSESSMENT TOOL RISK SCORE; BODY MASS; CONTROLLED STUDY; DIABETES POPULATION RISK TOOL RISK SCORE; EPIDEMIOLOGICAL STUDY ON THE INSULIN RESISTANCE SYNDROME RISK SCORE; EUROPEAN INVESTIGATION INTO CANCER AND NUTRITION RISK SCORE; FEMALE; FINNISH DIABETES RISK SCORE; FINNISH DIABETES RISK SCORE SURVEY 4; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; QD SCORE; RISK ASSESSMENT; SCORING SYSTEM; VALIDATION STUDY; WAIST CIRCUMFERENCE; BIOLOGICAL MODEL; CAUCASIAN; COHORT ANALYSIS; DIABETES MELLITUS, TYPE 2; PROCEDURES; SEX DIFFERENCE;

EID: 84890159890     PISSN: 22138587     EISSN: None     Source Type: Journal    
DOI: 10.1016/S2213-8587(13)70103-7     Document Type: Article
Times cited : (129)

References (44)
  • 1
    • 77951089891 scopus 로고    scopus 로고
    • International Diabetes Federation, International Diabetes Federation, Brussels
    • IDF Diabetes Atlas 2011, International Diabetes Federation, International Diabetes Federation, Brussels. 5th edn.
    • (2011) IDF Diabetes Atlas
  • 2
    • 43849111166 scopus 로고    scopus 로고
    • The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study
    • Li G, Zhang P, Wang J, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet 2008, 371:1783-1789.
    • (2008) Lancet , vol.371 , pp. 1783-1789
    • Li, G.1    Zhang, P.2    Wang, J.3
  • 3
    • 33847119543 scopus 로고    scopus 로고
    • Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis
    • Gillies CL, Abrams KR, Lambert PC, et al. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ 2007, 334:299.
    • (2007) BMJ , vol.334 , pp. 299
    • Gillies, C.L.1    Abrams, K.R.2    Lambert, P.C.3
  • 4
    • 83755173339 scopus 로고    scopus 로고
    • Risk models and scores for type 2 diabetes: systematic review
    • Noble D, Mathur R, Dent T, Meads C, Greenhalgh T Risk models and scores for type 2 diabetes: systematic review. BMJ 2011, 343:d7163.
    • (2011) BMJ , vol.343
    • Noble, D.1    Mathur, R.2    Dent, T.3    Meads, C.4    Greenhalgh, T.5
  • 5
    • 79960505344 scopus 로고    scopus 로고
    • Risk assessment tools for identifying individuals at risk of developing type 2 diabetes
    • Buijsse B, Simmons RK, Griffin SJ, Schulze MB Risk assessment tools for identifying individuals at risk of developing type 2 diabetes. Epidemiol Rev 2011, 33:46-62.
    • (2011) Epidemiol Rev , vol.33 , pp. 46-62
    • Buijsse, B.1    Simmons, R.K.2    Griffin, S.J.3    Schulze, M.B.4
  • 6
    • 0042743790 scopus 로고    scopus 로고
    • The diabetes risk score: a practical tool to predict type 2 diabetes risk
    • Lindstrom J, Tuomilehto J The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003, 26:725-731.
    • (2003) Diabetes Care , vol.26 , pp. 725-731
    • Lindstrom, J.1    Tuomilehto, J.2
  • 7
    • 80052567230 scopus 로고    scopus 로고
    • Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting
    • Collins GS, Mallett S, Omar O, Yu LM Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting. BMC Med 2011, 9:103.
    • (2011) BMC Med , vol.9 , pp. 103
    • Collins, G.S.1    Mallett, S.2    Omar, O.3    Yu, L.M.4
  • 8
    • 84866607803 scopus 로고    scopus 로고
    • Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study
    • Abbasi A, Peelen LM, Corpeleijn E, et al. Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study. BMJ 2012, 345:e5900.
    • (2012) BMJ , vol.345
    • Abbasi, A.1    Peelen, L.M.2    Corpeleijn, E.3
  • 9
    • 34247637288 scopus 로고    scopus 로고
    • International Diabetes Federation: a consensus on Type 2 diabetes prevention
    • Alberti KG, Zimmet P, Shaw J International Diabetes Federation: a consensus on Type 2 diabetes prevention. Diabet Med 2007, 24:451-463.
    • (2007) Diabet Med , vol.24 , pp. 451-463
    • Alberti, K.G.1    Zimmet, P.2    Shaw, J.3
  • 10
    • 77951047476 scopus 로고    scopus 로고
    • A European evidence-based guideline for the prevention of type 2 diabetes
    • Paulweber B, Valensi P, Lindstrom J, et al. A European evidence-based guideline for the prevention of type 2 diabetes. Horm Metab Res 2010, 42(suppl 1):S3-36.
    • (2010) Horm Metab Res , vol.42 , Issue.SUPPL. 1
    • Paulweber, B.1    Valensi, P.2    Lindstrom, J.3
  • 11
    • 80054698404 scopus 로고    scopus 로고
    • 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, et al. 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. Diabetologia 2011, 54:2272-2282.
    • (2011) Diabetologia , vol.54 , pp. 2272-2282
    • Langenberg, C.1    Sharp, S.2    Forouhi, N.G.3
  • 12
    • 0030888570 scopus 로고    scopus 로고
    • Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition
    • Kaaks R, Slimani N, Riboli E Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 1997, 26(suppl 1):S26-S36.
    • (1997) Int J Epidemiol , vol.26 , Issue.SUPPL. 1
    • Kaaks, R.1    Slimani, N.2    Riboli, E.3
  • 13
    • 0037933364 scopus 로고    scopus 로고
    • Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
    • Wareham NJ, Jakes RW, Rennie KL, et al. Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 2003, 6:407-413.
    • (2003) Public Health Nutr , vol.6 , pp. 407-413
    • Wareham, N.J.1    Jakes, R.W.2    Rennie, K.L.3
  • 14
    • 33750070627 scopus 로고    scopus 로고
    • Estimation of time-dependent area under the ROC curve for long-term risk prediction
    • Chambless LE, Diao G Estimation of time-dependent area under the ROC curve for long-term risk prediction. Stat Med 2006, 25:3474-3486.
    • (2006) Stat Med , vol.25 , pp. 3474-3486
    • Chambless, L.E.1    Diao, G.2
  • 16
    • 0035819891 scopus 로고    scopus 로고
    • Validation of the Gail et al model of breast cancer risk prediction and implications for chemoprevention
    • Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA Validation of the Gail et al model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst 2001, 93:358-366.
    • (2001) J Natl Cancer Inst , vol.93 , pp. 358-366
    • Rockhill, B.1    Spiegelman, D.2    Byrne, C.3    Hunter, D.J.4    Colditz, G.A.5
  • 17
    • 73849094087 scopus 로고    scopus 로고
    • Assessing the performance of prediction models: a framework for traditional and novel measures
    • Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010, 21:128-138.
    • (2010) Epidemiology , vol.21 , pp. 128-138
    • Steyerberg, E.W.1    Vickers, A.J.2    Cook, N.R.3
  • 20
    • 23044457006 scopus 로고    scopus 로고
    • Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study
    • Schmidt MI, Duncan BB, Bang H, et al. Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study. Diabetes Care 2005, 28:2013-2018.
    • (2005) Diabetes Care , vol.28 , pp. 2013-2018
    • Schmidt, M.I.1    Duncan, B.B.2    Bang, H.3
  • 21
    • 66649113490 scopus 로고    scopus 로고
    • Two risk-scoring systems for predicting incident diabetes mellitus in US adults age 45 to 64 years
    • Kahn HS, Cheng YJ, Thompson TJ, Imperatore G, Gregg EW Two risk-scoring systems for predicting incident diabetes mellitus in US adults age 45 to 64 years. Ann Intern Med 2009, 150:741-751.
    • (2009) Ann Intern Med , vol.150 , pp. 741-751
    • Kahn, H.S.1    Cheng, Y.J.2    Thompson, T.J.3    Imperatore, G.4    Gregg, E.W.5
  • 22
    • 77950362329 scopus 로고    scopus 로고
    • AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures
    • Chen L, Magliano DJ, Balkau B, et al. AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust 2010, 192:197-202.
    • (2010) Med J Aust , vol.192 , pp. 197-202
    • Chen, L.1    Magliano, D.J.2    Balkau, B.3
  • 24
    • 56149124681 scopus 로고    scopus 로고
    • Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR)
    • Balkau B, Lange C, Fezeu L, et al. Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care 2008, 31:2056-2061.
    • (2008) Diabetes Care , vol.31 , pp. 2056-2061
    • Balkau, B.1    Lange, C.2    Fezeu, L.3
  • 25
    • 79960304090 scopus 로고    scopus 로고
    • A population-based risk algorithm for the development of diabetes: development and validation of the Diabetes Population Risk Tool (DPoRT)
    • Rosella LC, Manuel DG, Burchill C, Stukel TA A population-based risk algorithm for the development of diabetes: development and validation of the Diabetes Population Risk Tool (DPoRT). J Epidemiol Community Health 2011, 65:613-620.
    • (2011) J Epidemiol Community Health , vol.65 , pp. 613-620
    • Rosella, L.C.1    Manuel, D.G.2    Burchill, C.3    Stukel, T.A.4
  • 27
    • 77956855172 scopus 로고    scopus 로고
    • Prediction models for incident type 2 diabetes mellitus in the older population: KORA S4/F4 cohort study
    • Rathmann W, Kowall B, Heier M, et al. Prediction models for incident type 2 diabetes mellitus in the older population: KORA S4/F4 cohort study. Diabet Med 2010, 27:1116-1123.
    • (2010) Diabet Med , vol.27 , pp. 1116-1123
    • Rathmann, W.1    Kowall, B.2    Heier, M.3
  • 28
    • 33847667588 scopus 로고    scopus 로고
    • An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes
    • Schulze MB, Hoffmann K, Boeing H, et al. An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes. Diabetes Care 2007, 30:510-515.
    • (2007) Diabetes Care , vol.30 , pp. 510-515
    • Schulze, M.B.1    Hoffmann, K.2    Boeing, H.3
  • 29
    • 66849095444 scopus 로고    scopus 로고
    • Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore
    • Hippisley-Cox J, Coupland C, Robson J, Sheikh A, Brindle P Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ 2009, 338:b880.
    • (2009) BMJ , vol.338
    • Hippisley-Cox, J.1    Coupland, C.2    Robson, J.3    Sheikh, A.4    Brindle, P.5
  • 30
    • 77952308870 scopus 로고    scopus 로고
    • Comparative validity of 3 diabetes mellitus risk prediction scoring models in a multiethnic US cohort: the Multi-Ethnic Study of Atherosclerosis
    • Mann DM, Bertoni AG, Shimbo D, et al. Comparative validity of 3 diabetes mellitus risk prediction scoring models in a multiethnic US cohort: the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 2010, 171:980-988.
    • (2010) Am J Epidemiol , vol.171 , pp. 980-988
    • Mann, D.M.1    Bertoni, A.G.2    Shimbo, D.3
  • 31
    • 79954474987 scopus 로고    scopus 로고
    • External validation of QDSCORE(R) for predicting the 10-year risk of developing type 2 diabetes
    • Collins GS, Altman DG External validation of QDSCORE(R) for predicting the 10-year risk of developing type 2 diabetes. Diabet Med 2011, 28:599-607.
    • (2011) Diabet Med , vol.28 , pp. 599-607
    • Collins, G.S.1    Altman, D.G.2
  • 32
    • 72249111745 scopus 로고    scopus 로고
    • Cross-sectional validation of diabetes risk scores for predicting diabetes, metabolic syndrome, and chronic kidney disease in Taiwanese
    • Lin JW, Chang YC, Li HY, et al. Cross-sectional validation of diabetes risk scores for predicting diabetes, metabolic syndrome, and chronic kidney disease in Taiwanese. Diabetes Care 2009, 32:2294-2296.
    • (2009) Diabetes Care , vol.32 , pp. 2294-2296
    • Lin, J.W.1    Chang, Y.C.2    Li, H.Y.3
  • 33
    • 84856011072 scopus 로고    scopus 로고
    • Estimating the risk of developing type 2 diabetes: a comparison of several risk scores: the Cohorte Lausannoise study
    • Schmid R, Vollenweider P, Waeber G, Marques-Vidal P Estimating the risk of developing type 2 diabetes: a comparison of several risk scores: the Cohorte Lausannoise study. Diabetes Care 2011, 34:1863-1868.
    • (2011) Diabetes Care , vol.34 , pp. 1863-1868
    • Schmid, R.1    Vollenweider, P.2    Waeber, G.3    Marques-Vidal, P.4
  • 34
    • 84856151377 scopus 로고    scopus 로고
    • Validation of 7 type 2 diabetes mellitus risk scores in a population-based cohort: CoLaus Study
    • Schmid R, Vollenweider P, Bastardot F, Waeber G, Marques-Vidal P Validation of 7 type 2 diabetes mellitus risk scores in a population-based cohort: CoLaus Study. Arch Intern Med 2012, 172:188-189.
    • (2012) Arch Intern Med , vol.172 , pp. 188-189
    • Schmid, R.1    Vollenweider, P.2    Bastardot, F.3    Waeber, G.4    Marques-Vidal, P.5
  • 35
    • 79954630748 scopus 로고    scopus 로고
    • The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes
    • Alssema M, Vistisen D, Heymans MW, et al. The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 2011, 54:1004-1012.
    • (2011) Diabetologia , vol.54 , pp. 1004-1012
    • Alssema, M.1    Vistisen, D.2    Heymans, M.W.3
  • 36
    • 47049124269 scopus 로고    scopus 로고
    • A simple risk score identifies individuals at high risk of developing type 2 diabetes: a prospective cohort study
    • Rahman M, Simmons RK, Harding AH, Wareham NJ, Griffin SJ A simple risk score identifies individuals at high risk of developing type 2 diabetes: a prospective cohort study. Fam Pract 2008, 25:191-196.
    • (2008) Fam Pract , vol.25 , pp. 191-196
    • Rahman, M.1    Simmons, R.K.2    Harding, A.H.3    Wareham, N.J.4    Griffin, S.J.5
  • 37
    • 34547681991 scopus 로고    scopus 로고
    • Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis
    • Vazquez G, Duval S, Jacobs DR, Silventoinen K Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev 2007, 29:115-128.
    • (2007) Epidemiol Rev , vol.29 , pp. 115-128
    • Vazquez, G.1    Duval, S.2    Jacobs, D.R.3    Silventoinen, K.4
  • 38
    • 77955413485 scopus 로고    scopus 로고
    • The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies
    • Abdullah A, Peeters A, de Courten M, Stoelwinder J The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies. Diabetes Res Clin Pract 2010, 89:309-319.
    • (2010) Diabetes Res Clin Pract , vol.89 , pp. 309-319
    • Abdullah, A.1    Peeters, A.2    de Courten, M.3    Stoelwinder, J.4
  • 39
    • 84857923360 scopus 로고    scopus 로고
    • External validation of the KORA S4/F4 prediction models for the risk of developing type 2 diabetes in older adults: the PREVEND study
    • Abbasi A, Corpeleijn E, Peelen LM, et al. External validation of the KORA S4/F4 prediction models for the risk of developing type 2 diabetes in older adults: the PREVEND study. Eur J Epidemiol 2012, 27:47-52.
    • (2012) Eur J Epidemiol , vol.27 , pp. 47-52
    • Abbasi, A.1    Corpeleijn, E.2    Peelen, L.M.3
  • 40
    • 7244221006 scopus 로고    scopus 로고
    • What is the risk of mortality for people who are screen positive in a diabetes screening programme but who do not have diabetes on biochemical testing? Diabetes screening programmes from a public health perspective
    • Spijkerman A, Griffin S, Dekker J, Nijpels G, Wareham NJ What is the risk of mortality for people who are screen positive in a diabetes screening programme but who do not have diabetes on biochemical testing? Diabetes screening programmes from a public health perspective. J Med Screen 2002, 9:187-190.
    • (2002) J Med Screen , vol.9 , pp. 187-190
    • Spijkerman, A.1    Griffin, S.2    Dekker, J.3    Nijpels, G.4    Wareham, N.J.5
  • 41
    • 79954632626 scopus 로고    scopus 로고
    • Risk scores for predicting type 2 diabetes: comparing axes and spades
    • Wareham NJ, Griffin SJ Risk scores for predicting type 2 diabetes: comparing axes and spades. Diabetologia 2011, 54:994-995.
    • (2011) Diabetologia , vol.54 , pp. 994-995
    • Wareham, N.J.1    Griffin, S.J.2
  • 42
    • 79954633330 scopus 로고    scopus 로고
    • Are we really active in the prevention of obesity and type 2 diabetes at the community level?
    • Uusitupa M, Tuomilehto J, Puska P Are we really active in the prevention of obesity and type 2 diabetes at the community level?. Nutr Metab Cardiovasc Dis 2011, 21:380-389.
    • (2011) Nutr Metab Cardiovasc Dis , vol.21 , pp. 380-389
    • Uusitupa, M.1    Tuomilehto, J.2    Puska, P.3
  • 43
    • 79951702608 scopus 로고    scopus 로고
    • Lifestyle intervention for prevention of type 2 diabetes in primary health care: one-year follow-up of the Finnish National Diabetes Prevention Program (FIN-D2D)
    • Saaristo T, Moilanen L, Korpi-Hyovalti E, et al. Lifestyle intervention for prevention of type 2 diabetes in primary health care: one-year follow-up of the Finnish National Diabetes Prevention Program (FIN-D2D). Diabetes Care 2010, 33:2146-2151.
    • (2010) Diabetes Care , vol.33 , pp. 2146-2151
    • Saaristo, T.1    Moilanen, L.2    Korpi-Hyovalti, E.3
  • 44
    • 77952419524 scopus 로고    scopus 로고
    • Missing covariate data in medical research: to impute is better than to ignore
    • Janssen KJ, Donders AR, Harrell FE, et al. Missing covariate data in medical research: to impute is better than to ignore. J Clin Epidemiol 2010, 63:721-727.
    • (2010) J Clin Epidemiol , vol.63 , pp. 721-727
    • Janssen, K.J.1    Donders, A.R.2    Harrell, F.E.3


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