Literature DB >> 8432228

Counting diabetes in the next millennium. Application of capture-recapture technology.

R E LaPorte1, D McCarty, G Bruno, N Tajima, S Baba.   

Abstract

Monitoring diabetes is critical for our understanding of the etiology and natural history of disease and for public health actions. However, traditional methods for monitoring are either too expensive (e.g., IDDM registries, NIDDM-OGTT prevalence surveys) or too inaccurate (routinely collected data or passive surveillance) for broad accurate, national programs for monitoring the incidence and prevalence of disease. We suggest that one technology called capture-recapture would considerably increase our ability to "count" diabetes, both nationally and globally. Implementation of this approach could lead to accurate inter- and intracountry data on rates of disease. Moreover, such tracking of diabetes could serve as the model for the monitoring of all disease in the 21st century and beyond.

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Year:  1993        PMID: 8432228     DOI: 10.2337/diacare.16.2.528

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


  22 in total

1.  Capture-recapture analysis to estimate the incidence of invasive meningococcal disease in Germany, 2003.

Authors:  A Schrauder; H Claus; J Elias; U Vogel; W Haas; W Hellenbrand
Journal:  Epidemiol Infect       Date:  2006-08-29       Impact factor: 2.451

2.  Incidence of type 1 diabetes mellitus in children in Tuzla Canton between 1995 and 2004.

Authors:  Husref Tahirović; Alma Toromanović
Journal:  Eur J Pediatr       Date:  2006-09-19       Impact factor: 3.183

3.  The effect of birth order and parental age on the risk of type 1 and 2 diabetes among young adults.

Authors:  N Lammi; E Moltchanova; P Blomstedt; J G Eriksson; O Taskinen; C Sarti; J Tuomilehto; M Karvonen
Journal:  Diabetologia       Date:  2007-10-18       Impact factor: 10.122

4.  A high incidence of type 1 diabetes and an alarming increase in the incidence of type 2 diabetes among young adults in Finland between 1992 and 1996.

Authors:  N Lammi; O Taskinen; E Moltchanova; I-L Notkola; J G Eriksson; J Tuomilehto; M Karvonen
Journal:  Diabetologia       Date:  2007-05-11       Impact factor: 10.122

5.  Estimation of the prevalence of diagnosed diabetes from primary care and secondary care source data: comparison of record linkage with capture-recapture analysis.

Authors:  J N Harvey; L Craney; D Kelly
Journal:  J Epidemiol Community Health       Date:  2002-01       Impact factor: 3.710

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

Authors:  C A Negrato; J P L Dias; M F Teixeira; A Dias; M H Salgado; J R Lauris; R M Montenegro; M B Gomes; L Jovanovic
Journal:  J Endocrinol Invest       Date:  2009-07-20       Impact factor: 4.256

7.  How to improve monitoring and forecasting of disease patterns.

Authors:  R E Laporte
Journal:  BMJ       Date:  1993 Dec 18-25

8.  Prospective incidence study of diabetes mellitus in New Zealand children aged 0 to 14 years.

Authors:  P L Campbell-Stokes; B J Taylor
Journal:  Diabetologia       Date:  2005-03-10       Impact factor: 10.122

9.  Is the incidence of type 1 diabetes in children and adolescents stabilising? The first 6 years of a National Register.

Authors:  Edna F Roche; Amanda M McKenna; Kerry J Ryder; Adrienne A Brennan; Myra O'Regan; Hilary McV Hoey
Journal:  Eur J Pediatr       Date:  2016-09-22       Impact factor: 3.183

10.  Epidemiological perspectives on type 1 diabetes in childhood and adolescence in germany: 20 years of the Baden-württemberg Diabetes Incidence Registry (DIARY).

Authors:  Stefan Ehehalt; Klaus Dietz; Andre M Willasch; Andreas Neu
Journal:  Diabetes Care       Date:  2009-11-10       Impact factor: 19.112

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