The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Environmental Determinants of Diabetes in the Young (TEDDY) study: study design
Open accessAbstract
The primary objective of this multicenter, multinational, epidemiological study is the identification of infectious agents, dietary factors, or other environmental exposures that are associated with increased risk of autoimmunity and type 1 diabetes mellitus (T1DM). Factors affecting specific phenotypic manifestations such as early age of onset or rate of progression or with protection from the development of T1DM will also be identified. The Environmental Determinants of Diabetes in the Young (TEDDY) is an observational cohort study in which newborns who are younger than 4 months and have high-risk human leukocyte antigen alleles in the general population or are first-degree relatives (FDRs) of patients affected with T1DM will be enrolled. Six clinical centers in the USA and Europe will screen 361,588 newborns, of which it is anticipated that 17,804 will be eligible for enrollment with just over 7,800 followed. Recruitment will occur over 5 yr, with children being followed to the age of 15 yr. Identification of such factors will lead to a better understanding of disease pathogenesis and result in new strategies to prevent, delay, or reverse T1DM.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A genome-wide search for human type 1 diabetes susceptibility genes
Davies, J. L., Kawaguchi, Y., Bennett, S. T., Copeman, J. B., Cordell, H. J., Pritchard, L. E., Reed, P. W., Gough, S. C. L., Jenkins, S. C., Palmer, S. M., et al. (1994) · Nature · doi:10.1038/371130a0 · Cited by 1,276
Use of cod liver oil during pregnancy associated with lower risk of type I diabetes in the offspring
Stene, L. C., Ulriksen, J., Magnus, P., & Joner, G. (2000) · Diabetologia · doi:10.1007/s001250051499 · Cited by 362
Sanjeevi, C. B., Lybrand, T. P., DeWeese, C., Landin-Olsson, M., Kockum, I., Dahlquist, G., Sundkvist, G., Stenger, D., & Lernmark, Å. (1995) · Diabetes · doi:10.2337/diab.44.1.125 · Cited by 89
Cited by
DiMeglio, L. A., Evans-Molina, C., & Oram, R. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31320-5 · Cited by 1,561
Katsarou, A., Gudbjörnsdottir, S., Rawshani, A., Dabelea, D., Bonifacio, E., Anderson, B. J., Jacobsen, L. M., Schatz, D. A., & Lernmark, Å. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.16 · Cited by 1,475
Insel, R. A., Dunne, J. L., Atkinson, M. A., Chiang, J. L., Dabelea, D., Gottlieb, P. A., Greenbaum, C. J., Herold, K. C., Krischer, J. P., Lernmark, Å., et al. (2015) · Diabetes Care · doi:10.2337/dc15-1419 · Cited by 1,216
Toward defining the autoimmune microbiome for type 1 diabetes
Giongo, A., Gano, K. A., Crabb, D. B., Mukherjee, N., Novelo, L. L., Casella, G., Drew, J. C., Ilonen, J., Knip, M., Hyöty, H., et al. (2011) · The ISME Journal · doi:10.1038/ismej.2010.92 · Cited by 806
Human genetic variation and the gut microbiome in disease
Hall, A. B., Tolonen, A. C., & Xavier, R. J. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.63 · Cited by 517
Metadata
- Authors
- The TEDDY Study Group
- Venue
- Pediatric Diabetes
- Publisher
- Hindawi Limited
- Published
- 2007-10
- Volume
- 8
- Issue
- 5
- Pages
- 286-298
- ISSN
- 1399-543X (ISSN-L)
- 1399-5448
- OpenAlex
- W1925140590
- Cited by
- 361
- References
- 3
- FWCI
- 7.37
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Environmental Determinants of Diabetes in the Young (TEDDY) study: study design. https://app.cochat.ai/papers/10.1111/j.1399-5448.2007.00269.x
- The paper
- The TEDDY Study Group. (2007). The Environmental Determinants of Diabetes in the Young (TEDDY) study: study design. Pediatric Diabetes. https://doi.org/10.1111/j.1399-5448.2007.00269.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
