Evidence map›Paper›PMID 12531877›Full record

ArticleThe Journal of clinical investigation2003

Prediction of spontaneous autoimmune diabetes in NOD mice by quantification of autoreactive T cells in peripheral blood.

Jacqueline D Trudeau, Carolyn Kelly-Smith, C Bruce Verchere, John F Elliott, Jan P Dutz, Diane T Finegood, Pere Santamaria, Rusung Tan

Abstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed
10.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 211 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Review
  6. Advancing Animal Models of Human Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review
  7. Article
  8. Article
  9. Regulatory CD4Frontiers in immunology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. De novo germline mutation in the dual specificity phosphatase 10 gene accelerates autoimmune diabetes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Self-Renewing Islet TCF1Journal of immunology (Baltimore, Md. : 1950) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Jacqueline D TrudeauDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Carolyn Kelly-Smith
C Bruce Verchere
John F Elliott
Jan P Dutz
Diane T Finegood
Pere Santamaria
Rusung Tan
University of British Columbia · CABC Children's Hospital · CASimon Fraser University · CAUniversity of Alberta · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune (type 1) diabetes mellitus results from the destruction of insulin-producing pancreatic beta cells by T lymphocytes. Prediction of cell-mediated autoimmune diseases by direct detection of autoreactive T cells in peripheral blood has proved elusive, in part because of their low frequency and reduced avidity for peptide MHC ligands. This article was published online in advance of the print edition. The date of publication is available from the JCI website, http://www.jci.org.

Indexed as

Lymphocyte CountAnimalsCD8-Positive T-LymphocytesDiabetes Mellitus, Type 1Epitopes, T-LymphocyteFemaleHistocompatibility Antigens Class IIslets of LangerhansMiceMice, Inbred NODEpitopes, T-LymphocyteHistocompatibility Antigens Class I

Identifiers

PMID12531877
PMCPMC151866
OpenAlexW2003926050

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.