These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Japanese Type 1 Diabetes Database Study (TIDE-J): rationale and study design.
    Author: Chujo D, Imagawa A, Yasuda K, Abiru N, Awata T, Fukui T, Ikegami H, Kawasaki E, Katsuki T, Kobayashi T, Kozawa J, Nagasawa K, Ohtsu H, Oikawa Y, Osawa H, Shimada A, Shimoda M, Takahashi K, Tsuchiya K, Tsujimoto T, Yasuda H, Hanafusa T, Kajio H.
    Journal: Diabetol Int; 2022 Jan; 13(1):288-294. PubMed ID: 35059265.
    Abstract:
    Type 1 diabetes (T1D) is classified into three subtypes: acute-onset, slowly progressive, and fulminant T1D, according to the heterogeneity of clinical course in Japan. Although several cross-sectional databases of T1D have been reported, prospective longitudinal databases to investigate clinical outcomes are lacking in our country. Therefore, we herein construct multi-center prospective longitudinal database of the three subtypes of T1D, accompanied with genetic information and biobanking, which is named Japanese Type 1 Diabetes Database Study (TIDE-J). Inclusion criteria of this study are as follows: (1) the duration of T1D was less than 5 years, (2) the patients had one or more islet-related autoantibodies and/or fasting serum C-peptide levels were less than 1.0 ng/mL, (3) the patients could clearly understand the study consent in writing. In the TIDE-J, clinical data, including glycemic control, endogenous insulin secretion, islet-related autoantibodies, diabetic complications, and treatment, are collected annually using electric data collection system, which is named REDCap. Furthermore, HLA genotypes of each participant were analyzed at entry and the blood samples were stored for assessing exploratory markers and further genetic analysis annually. The TIDE-J certainly helps in revealing distinct clinical course of each T1D subtype. Moreover, this database may help in identifying novel markers for diagnosing each subtype of T1D and predicting clinical outcomes (including pancreatic beta cell function and disease severity) in patients.
    [Abstract] [Full Text] [Related] [New Search]