1. Estimating the potential population impact of stepwise screening strategies for identifying and treating individuals at high risk of Type 2 diabetes: a modelling study
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Nicholas J. Wareham, Rebecca K. Simmons, Parinya Chamnan, Kay-Tee Khaw, and Simon J. Griffin
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Adult ,Male ,medicine.medical_specialty ,modelling study ,Diabetes risk ,National Health Programs ,Endocrinology, Diabetes and Metabolism ,Population ,Type 2 diabetes ,Risk Assessment ,Endocrinology ,Risk Factors ,Internal medicine ,Surveys and Questionnaires ,Internal Medicine ,population impact ,Medicine ,Humans ,Mass Screening ,Prospective Studies ,Article: Epidemiology ,education ,risk scores ,Mass screening ,Aged ,education.field_of_study ,Framingham Risk Score ,business.industry ,screening ,Original Articles ,Middle Aged ,Patient Acceptance of Health Care ,medicine.disease ,United Kingdom ,Surgery ,Primary Prevention ,prestratification ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,Relative risk ,Number needed to treat ,Female ,business ,Risk assessment - Abstract
Diabet. Med. 29, 893–904 (2012) Abstract Background Diabetes risk assessment has been proposed as part of the National Health Service Health Checks programme, and HbA1c has recently been recommended as a diagnostic test for diabetes at a threshold of 48 mmol/mol (6.5%). We estimated the potential population impact of different stepwise screening strategies to identify individuals at high risk who might be offered preventive interventions. Methods Using data from 5910 participants in the European Prospective Investigation of Cancer (EPIC)-Norfolk cohort with HbA1c measurements, we modelled different stepwise screening strategies for identifying and treating individuals at high risk of Type 2 diabetes using different HbA1c cut-off points with and without a stage of prestratification. For each strategy, we estimated the number needed to have a diagnostic test, the number needed to treat to prevent one new case of Type 2 diabetes, and the number of new cases that could be prevented in the population over 3 years. Relative risk reductions for estimated effects of intensive lifestyle intervention were derived from the US Diabetes Prevention Program. Results Compared with inviting all individuals in an average primary care trust for a diagnostic test, a stepwise screening approach using simple routine data such as age and anthropometric indices could prevent a slightly lower number (lower-upper estimates) of new cases of Type 2 diabetes over 3 years (224 [130–359] and 193 [109–315] cases respectively) but would only require half the population to be invited for a diagnostic blood test. A total of 162 (88–274) cases could be prevented by inviting individuals with a Cambridge risk score of ≥ 0.15, with only 40% of the total population requiring diagnostic blood tests. Using a participant completed questionnaire for risk assessment (FINDRISC) was less effective, mainly relating to the questionnaire response rate. Providing preventive interventions to those with a lower HbA1c of 37–
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- 2023
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