Comparison of near-patient capillary glucose measurement and a risk assessment questionnaire in screening for type 2 diabetes in a high-risk population in rural India

Diabetes Care

Volumn 34, Issue 1, 2011, Pages 44-49

  Ritchie, Georgia E ^a,b   Kengne, Andre Pascal ^a   Joshi, Rohina ^a   Chow, Clara ^a   Neal, Bruce ^a   Patel, Anushka ^a   Zoungas, Sophia ^a,c  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACETYLSALICYLIC ACID; ANTIHYPERTENSIVE AGENT; ANTILIPEMIC AGENT; GLUCOSE;

ADULT; ANTIHYPERTENSIVE THERAPY; ARTICLE; BLOOD GLUCOSE MONITORING; BLOOD SAMPLING; BODY MASS; CAPILLARY GLUCOSE MEASUREMENT; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIET RESTRICTION; FEMALE; GLUCOSE BLOOD LEVEL; HIGH RISK POPULATION; HUMAN; HYPERTENSION; INDIA; LABORATORY TEST; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; POINT OF CARE TESTING; QUESTIONNAIRE; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; RISK FACTOR; RURAL POPULATION; SCREENING TEST; WAIST CIRCUMFERENCE; WORLD HEALTH ORGANIZATION;

ADULT; BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; INDIA; QUESTIONNAIRES; RISK ASSESSMENT; WAIST CIRCUMFERENCE;

EID: 79951686623     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc10-1270     Document Type: Article

References (24)

1. International Diabetes Federation. Diabetes Atlas. 4th ed. Brussels: International Diabetes Federation, 2009
2. World Health Organization. Screening for Type 2 Diabetes: Report of a World Health Organisation and International Diabetes Federation Meeting [Internet], 2003. Available from www.who.int/diabetes/publications/en/screening- mnc03.pdf. Accessed 15 April 2010
3. Chow CK, Raju PK, Raju R, Reddy KS, Cardona M, Celermajer DS, Neal BC. The prevalence and management of diabetes in rural India. Diabetes Care 2006;29:1717-1718 (Pubitemid 44127621)
4. Ramachandran A, Snehalatha C, Kapur A, Vijay V, Mohan V, Das AK, Rao PV, Yajnik CS, Prasanna Kumar KM, Nair JD, Diabetes Epidemiology Study Group in India (DESI). High prevalence of diabetes and impaired glucose tolerance in India: National Urban Diabetes Survey. Diabetologia 2001;44:1094-1101
5. Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med 2008;358:580-591 (Pubitemid 351214285)
6. Control Group, Turnbull FM, Abraira C, Anderson RJ, Byington RP, Chalmers JP, Duckworth WC, Evans GW, Gerstein HC, Holman RR, Moritz TE, Neal BC, Ninomiya T, Patel AA, Paul SK, Travert F, Woodward M. Intensive glucose control and macrovascular outcomes in type 2 diabetes. Diabetologia 2009;52:2288-2298
7. Zimmet PZ. Diabetes epidemiology as a tool to trigger diabetes research and care. Diabetologia 1999;42:499-518 (Pubitemid 29195999)
8. Engelgau MM, Narayan KM, Herman WH. Screening for type 2 diabetes. Diabetes Care 2000;23:1563-1580
9. Mohan V, Deepa R, Deepa M, Somannavar S, Datta M. A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects. J Assoc Physicians India 2005;53:759-763 (Pubitemid 41365556)
10. Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, Callahan MA, Teutsch SM, Mushlin AI, Kern LM. Development and validation of a patient selfassessment score for diabetes risk. Ann Intern Med 2009;151:775-783
11. Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003;26:725-731 (Pubitemid 36929335)
12. He G, Sentell T, Schillinger D. A new public health tool for risk assessment of abnormal glucose levels. Prev Chronic Dis 2010;7:A34
13. Ramachandran A, Snehalatha C, Vijay V, Wareham NJ, Colagiuri S. Derivation and validation of diabetes risk score for urban Asian Indians. Diabetes Res Clin Pract 2005;70:63-70 (Pubitemid 41207649)
14. Kruijshoop M, Feskens EJ, Blaak EE, de Bruin TW. Validation of capillary glucose measurements to detect glucose intolerance or type 2 diabetes mellitus in the general population. Clin Chim Acta 2004;341:33-40 (Pubitemid 38213156)
15. Marley JV, Davis S, Coleman K, Hayhow BD, Brennan G, Mein JK, Nelson C, Atkinson D, Maguire GP. Point-of-care testing of capillary glucose in the exclusion and diagnosis of diabetes in remote Australia. Med J Aust 2007;186:500-503 (Pubitemid 46895071)
16. Rush E, Crook N, Simmons D. Point-of-care testing as a tool for screening for diabetes and pre-diabetes. Diabet Med 2008;25:1070-1075
17. Chow CK, Naidu S, Raju K, Raju R, Joshi R, Sullivan D, Celermajer DS, Neal BC. Significant lipid, adiposity and metabolic abnormalities amongst 4535 Indians from a developing region of rural Andhra Pradesh. Atherosclerosis 2008;196:943-952 (Pubitemid 351165787)
18. World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications: Part 1: diagnosis and classification of diabetes mellitus. Geneva: World Health Organization, 1999
19. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307-310 (Pubitemid 16134762)
20. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44:837-845
21. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-172 (Pubitemid 351193639)
22. World Health Organization, International Diabetes Federation. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF Consultation. Geneva; World Health Organization, 2006
23. Kumar S, Mukherjee S, Mukhopadhyay P, Pandit K, Raychaudhuri M, Sengupta N, Ghosh S, Sarkar S, Mukherjee S, Chowdhury S. Prevalence of diabetes and impaired fasting glucose in a selected population with special reference to influence of family history and anthropometric measurements: the Kolkata policeman study. J Assoc Physicians India 2008;56:841-844
24. Glümer C, Carstensen B, Sandbaek A, Lauritzen T, Jørgensen T, Borch-Johnsen K, Inter99 study. A Danish diabetes risk score for targeted screening: the Inter99 study. Diabetes Care 2004;27:727-733