ArticlePloS one2013
How do childhood diagnoses of type 1 diabetes cluster in time?
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Clustering patterns in Finnish type 1 diabetes patients: a nationwide register-based study.BMJ open diabetes research & care · 2025Article
- Temporal clustering of neuroblastic tumours in children and young adults from Ontario, Canada.Environmental health : a global access science source · 2022Article
- Enteroviral Infections as a Trigger for Type 1 Diabetes.Current diabetes reports · 2018Review
- Novel perspectives on the role of the human microbiota in regenerative medicine and surgery.Biomedical reports · 2016Article
- Temporal clustering of neuroblastic tumours in children and young adults from Northern England.Environmental health : a global access science source · 2015Article
- Fecal microbiota imbalance in Mexican children with type 1 diabetes.Scientific reports · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundPrevious studies have indicated that type 1 diabetes may have an infectious origin. The presence of temporal clustering-an irregular temporal distribution of cases--would provide additional evidence that occurrence may be linked with an agent that displays epidemicity. We tested for the presence and form of temporal clustering using population- based data from northeast England. MATERIALS AND
methodsThe study analysed data on children aged 0-14 years diagnosed with type 1 diabetes during the period 1990-2007 and resident in a defined geographical region of northeast England (Northumberland, Newcastle upon Tyne, and North Tyneside). Tests for temporal clustering by time of diagnosis were applied using a modified version of the Potthoff-Whittinghill method.
resultsThe study analysed 468 cases of children diagnosed with type 1 diabetes. There was highly statistically significant evidence of temporal clustering over periods of a few months and over longer time intervals (p<0.001). The clustering within years did not show a consistent seasonal pattern.
conclusionsThe study adds to the growing body of literature that supports the involvement of infectious agents in the aetiology of type 1 diabetes in children. Specifically it suggests that the precipitating agent or agents involved might be an infection that occurs in "mini-epidemics".
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Registered trials
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