Evidence map›Paper›PMID 23574316›Full record

ReviewClinical and experimental immunology2013

Progress in immune-based therapies for type 1 diabetes.

M von Herrath, M Peakman, B Roep

Open access · greenAbstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  14. Pharmacological Targeting of GLUT1 to Control Autoreactive T Cell Responses.International journal of molecular sciences · 2019
    Review
  15. Review
  16. Article
  17. Article
  18. Early Treatment with Empagliflozin and GABA ImprovesJournal of diabetes research · 2019
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

M von HerrathCenter for Type 1 Diabetes Research, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
M Peakman
B Roep
King's College London · GBLa Jolla Institute for Immunology · USLeiden University Medical Center · NL

Funding

Department of HealthMedical Research Council MR/J006742/1
6 · The paper itself

Abstract

Immune-based therapies that prevent type 1 diabetes or preserve metabolic function remaining at diagnosis have become a major objective for funding agencies and international trial consortia, and receive backing from notable patient advocate groups. The development of immune-based therapeutic strategies in this arena requires a careful balancing of the risks of the therapy against the potential benefits, because many individuals are diagnosed or identified as being at increased risk of disease in early childhood, a period when manipulation of the developing immune system should be undertaken with caution. In addition, a therapy exists (daily insulin injection) that is life-saving in the acute stages of disease and can be used effectively over a lifetime as maintenance. Conversely, the disease is increasing in incidence; is peaking in ever-younger age groups; carries significant risk of increased morbidity and early mortality; and remains difficult to manage effectively in many settings. With these issues in mind, in this article we review progress towards immune-based strategies for this chronic autoimmune disease.

Indexed as

AutoimmunityDiabetes Mellitus, Type 1HumansImmunotherapySelf Tolerance

Identifiers

PMID23574316
PMCPMC3628322
OpenAlexW2147497390

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.