ArticlePloS one2017
Determining the optimal screening interval for type 2 diabetes mellitus using a risk prediction model.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.The Cochrane database of systematic reviews · 2018Pooled it
- Prediction Models for Type 2 Diabetes Risk in the General Population: A Systematic Review of Observational Studies.International journal of endocrinology and metabolism · 2021Article
- Cost-effectiveness analysis for HbA1c test intervals to screen patients with type 2 diabetes based on risk stratification.BMC endocrine disorders · 2021Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundProgression to diabetes mellitus (DM) is variable and the screening time interval not well defined. The American Diabetes Association and US Preventive Services Task Force suggest screening every 3 years, but evidence is limited. The objective of the study was to develop a model to predict the probability of developing DM and suggest a risk-based screening interval.
methodsWe included non-diabetic adult patients screened for DM in the Cleveland Clinic Health System if they had at least two measurements of glycated hemoglobin (HbA1c), an initial one less than 6.5% (48 mmol/mol) in 2008, and another between January, 2009 and December, 2013. Cox proportional hazards models were created. The primary outcome was DM defined as HbA1C greater than 6.4% (46 mmol/mol). The optimal rescreening interval was chosen based on the predicted probability of developing DM.
resultsOf 5084 participants, 100 (4.4%) of the 2281 patients with normal HbA1c and 772 (27.5%) of the 2803 patients with prediabetes developed DM within 5 years. Factors associated with developing DM included HbA1c (HR per 0.1 units increase 1.20; 95%CI, 1.13-1.27), family history (HR 1.31; 95%CI, 1.13-1.51), smoking (HR 1.18; 95%CI, 1.03-1.35), triglycerides (HR 1.01; 95%CI, 1.00-1.03), alanine aminotransferase (HR 1.07; 95%CI, 1.03-1.11), body mass index (HR 1.06; 95%CI, 1.01-1.11), age (HR 0.95; 95%CI, 0.91-0.99) and high-density lipoproteins (HR 0.93; 95% CI, 0.90-0.95). Five percent of patients in the highest risk tertile developed DM within 8 months, while it took 35 months for 5% of the middle tertile to develop DM. Only 2.4% percent of the patients in the lowest tertile developed DM within 5 years.
conclusionA risk prediction model employing commonly available data can be used to guide screening intervals. Based on equal intervals for equal risk, patients in the highest risk category could be rescreened after 8 months, while those in the intermediate and lowest risk categories could be rescreened after 3 and 5 years respectively.
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