Literature DB >> 10840992

Capture-recapture method in the epidemiology of type 2 diabetes: a contribution from the Verona Diabetes Study.

G Verlato1, M Muggeo.   

Abstract

OBJECTIVE: The present investigation used data from the Verona Diabetes Study to verify a main assumption of the capture-recapture method (source independence) and to characterize the subgroup of known diabetic patients missed by all sources whose number is estimated by the capture-recapture method. RESEARCH DESIGN AND METHODS: The Verona Diabetes Study identified 7,148 type 2 diabetic patients on 31 December 1986 using 3 different sources: family physicians, a diabetes center, and a drug prescription database. Completeness of ascertainment was estimated with traditional methods based on the hypergeometric distribution and with a log-linear model.
RESULTS: Identification sources were not independent because the drug prescription database was positively related to family physicians and negatively related to the diabetes center (P < 0.001). Thus, completeness of ascertainment was overestimated (87.5% [95% CI 86.3-88.8]) when using only family physicians and the drug prescription database and underestimated (45.9% [43.9-48.1]) when using only the diabetes center and the drug prescription database. Because of characteristics contributing to variable "catchability" (probability of ascertainment), the estimated proportion of ascertainment increased with increasing time since diagnosis from 65.6% in the first tertile (<6 years) to 91.5% in the third tertile (>12 years); moreover, the ascertainment was estimated to be nearly complete (97.9%) for insulin-treated patients and scanty (28.9%) for diet-treated patients.
CONCLUSIONS: Because identification sources are likely to be dependent, the capture-recapture method should be used with caution in diabetes epidemiology and possibly when at least 3 sources are available. The subgroup of diabetic patients whose existence is inferred by this technique likely consists of newly diagnosed patients with mild disease severity.

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Year:  2000        PMID: 10840992     DOI: 10.2337/diacare.23.6.759

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  16 in total

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2.  Temporal trends in incidence of Type 1 diabetes between 1986 and 2006 in Brazil.

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3.  The "Pathological Gambling and Epidemiology" (PAGE) study program: design and fieldwork.

Authors:  Christian Meyer; Anja Bischof; Anja Westram; Christine Jeske; Susanna de Brito; Sonja Glorius; Daniela Schön; Sarah Porz; Diana Gürtler; Nadin Kastirke; Tobias Hayer; Frank Jacobi; Michael Lucht; Volker Premper; Reiner Gilberg; Doris Hess; Gallus Bischof; Ulrich John; Hans-Jürgen Rumpf
Journal:  Int J Methods Psychiatr Res       Date:  2015-01-13       Impact factor: 4.035

4.  Evaluating the Completeness of HIV Surveillance Using Capture-Recapture Models, Alameda County, California.

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5.  Short-term and long-term risk factors in gastric cancer.

Authors:  Giuseppe Verlato; Daniele Marrelli; Simone Accordini; Maria Bencivenga; Alberto Di Leo; Alberto Marchet; Roberto Petrioli; Giacomo Zoppini; Michele Muggeo; Franco Roviello; Giovanni de Manzoni
Journal:  World J Gastroenterol       Date:  2015-06-07       Impact factor: 5.742

6.  Increasing trend of childhood type 1 diabetes in Franche-Comté (France): analysis of age and period effects from 1980 to 1998.

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Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

7.  Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009.

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Review 8.  Twenty years of pediatric diabetes surveillance: what do we know and why it matters.

Authors:  Dana Dabelea; Katherine A Sauder; Elizabeth T Jensen; Amy K Mottl; Alyssa Huang; Catherine Pihoker; Richard F Hamman; Jean Lawrence; Lawrence M Dolan; Ralph D' Agostino; Lynne Wagenknecht; Elizabeth J Mayer-Davis; Santica M Marcovina
Journal:  Ann N Y Acad Sci       Date:  2021-02-05       Impact factor: 6.499

9.  Comparison of the incidence of diabetes in United States and Indian youth: An international harmonization of youth diabetes registries.

Authors:  Elizabeth T Jensen; Dana A Dabelea; Pradeep A Praveen; Anandakumar Amutha; Christine W Hockett; Scott P Isom; Toan C Ong; Viswanathan Mohan; Ralph D'Agostino; Michael G Kahn; Richard F Hamman; Paul Wadwa; Lawrence Dolan; Jean M Lawrence; S V Madhu; Reshmi Chhokar; Komal Goel; Nikhil Tandon; Elizabeth Mayer-Davis
Journal:  Pediatr Diabetes       Date:  2020-04-06       Impact factor: 3.409

10.  Trends in high-risk HLA susceptibility genes among Colorado youth with type 1 diabetes.

Authors:  Kendra Vehik; Richard F Hamman; Dennis Lezotte; Jill M Norris; Georgeanna J Klingensmith; Marian Rewers; Dana Dabelea
Journal:  Diabetes Care       Date:  2008-03-20       Impact factor: 19.112

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