Evidence map›Paper›PMID 20629979›Full record

GuidelineClinical and experimental immunology2010

Developing combination immunotherapies for type 1 diabetes: recommendations from the ITN-JDRF Type 1 Diabetes Combination Therapy Assessment Group.

J B Matthews, T P Staeva, P L Bernstein, M Peakman, M von Herrath, ITN-JDRF Type 1 Diabetes Combination Therapy Assessment Group

Open access · bronzeAbstract readGuideline
In one paragraph

Guideline in Clinical and experimental immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
9.5field-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

71 citing papers in PubMed, 114 citations in OpenAlex.

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

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

6 authors at 4 institutions in 2 countries.

J B MatthewsImmune Tolerance Network, San Francisco, CA 94107, USA. jmatthews@immunetolerance.org
T P Staeva
P L Bernstein
M Peakman
M von Herrath
ITN-JDRF Type 1 Diabetes Combination Therapy Assessment Group
Immune Tolerance Network · USBreakthrough T1D · USGuy's and St Thomas' NHS Foundation Trust · GBLa Jolla Institute for Immunology · US

Funding

IMMUNE TOLERANCE NETWORK-266015416-266015416N01AI015416 · NIAID · REGENTS OF THE UNIVERSITY OF C · PI BLUESTONE, JEFFREY A · 2002 to 2006
–
NIAID NIH HHS N01 AI015416
6 · The paper itself

Abstract

Like many other complex human disorders of unknown aetiology, autoimmune-mediated type 1 diabetes may ultimately be controlled via a therapeutic approach that combines multiple agents, each with differing modes of action. The numerous advantages of such a strategy include the ability to minimize toxicities and realize synergies to enhance and prolong efficacy. The recognition that combinations might offer far-reaching benefits, at a time when few single agents have yet proved themselves in well-powered trials, represents a significant challenge to our ability to conceive and implement rational treatment designs. As a first step in this process, the Immune Tolerance Network, in collaboration with the Juvenile Diabetes Research Foundation, convened a Type 1 Diabetes Combination Therapy Assessment Group, the recommendations of which are discussed in this Perspective paper.

Indexed as

Drug ApprovalDrug DesignAnimalsAntigen PresentationAutoantibodiesClinical ProtocolsClinical Trials as TopicCombined Modality TherapyDiabetes Mellitus, Type 1Drug Evaluation, PreclinicalDrugs, InvestigationalDrug Therapy, CombinationHumansHypoglycemic AgentsImmunologic FactorsImmunosuppressive AgentsAutoantibodiesDrugs, InvestigationalHypoglycemic AgentsImmunologic FactorsImmunosuppressive Agents

Identifiers

PMID20629979
PMCPMC2857940
OpenAlexW1531603294

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.