Trial reportBMJ open2014
Rationale and study design of the Adaptive study of IL-2 dose on regulatory T cells in type 1 diabetes (DILT1D): a non-randomised, open label, adaptive dose finding trial.
Trial report in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 23 papers.
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.
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.
Adaptive Study of IL-2 Dose on Regulatory T Cells in Type 1 Diabetes (DILT1D)
Adaptive Study of IL-2 Dose Frequency on Regulatory T Cells in Type 1 Diabetes (DILfrequency)
A Phase 1 Trial of CD4+CD127lo/-CD25+ Polyclonal Treg Adoptive Immunotherapy With Interleukin-2 for the Treatment of Type 1 Diabetes
Who cites it
23 citing papers in PubMed, 34 citations in OpenAlex.
- The DILfrequency study is an adaptive trial to identify optimal IL-2 dosing in patients with type 1 diabetes.JCI insight · 2018Trial
- Regulatory T Cell Responses in Participants with Type 1 Diabetes after a Single Dose of Interleukin-2: A Non-Randomised, Open Label, Adaptive Dose-Finding Trial.PLoS medicine · 2016Trial
- Adaptive trials in low back pain and osteoarthritis: How common are they and when should they be used? A systematic review from ClinicalTrials.gov.Osteoarthritis and cartilage open · 2026Review
- The need and benefit of immune monitoring to define patient and disease heterogeneity, mechanisms of therapeutic action and efficacy of intervention therapy for precision medicine in type 1 diabetes.Frontiers in immunology · 2023Article
- Low-dose IL-2 reduces IL-21Nature communications · 2022Article
- Self-Antigens Targeted by Regulatory T Cells in Type 1 Diabetes.International journal of molecular sciences · 2022Review
- From Disease and Patient Heterogeneity to Precision Medicine in Type 1 Diabetes.Frontiers in medicine · 2022Review
- Exploring the Pathogenic Role and Therapeutic Implications of Interleukin 2 in Autoimmune Hepatitis.Digestive diseases and sciences · 2021Review
- Learning From Past Failures of Oral Insulin Trials.Diabetes · 2018Article
- Adaptive designs in clinical trials: why use them, and how to run and report them.BMC medicine · 2018Article
- Regulatory T cell dysfunction in type 1 diabetes: what's broken and how can we fix it?Diabetologia · 2017Review
- Dominant TNFα and impaired IL-2 cytokine profiles of CD4Immunology and cell biology · 2017Article
- Human IL-6RClinical immunology (Orlando, Fla.) · 2017Article
- In-depth immunophenotyping data of IL-6R on the human peripheral regulatory T cell (Treg) compartment.Data in brief · 2017Article
- Capturing the systemic immune signature of a norovirus infection: an n-of-1 case study within a clinical trial.Wellcome open research · 2017Article
- Updates on Immune Therapies in Type 1 Diabetes.European endocrinology · 2016Review
- Strategies for clinical trials in type 1 diabetes.Journal of autoimmunity · 2016Review
- Progress and challenges for treating Type 1 diabetes.Journal of autoimmunity · 2016Review
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
introductionCD4 T regulatory cells (Tregs) are crucial for the maintenance of self-tolerance and are deficient in many common autoimmune diseases such as type 1 diabetes (T1D). Interleukin 2 (IL-2) plays a major role in the activation and function of Tregs and treatment with ultra-low dose (ULD) IL-2 could increase Treg function to potentially halt disease progression in T1D. However, prior to embarking on large phase II/III clinical trials it is critical to develop new strategies for determining the mechanism of action of ULD IL-2 in participants with T1D. In this mechanistic study we will combine a novel trial design with a clinical grade Treg assay to identify the best doses of ULD IL-2 to induce targeted increases in Tregs. METHOD AND ANALYSIS: Adaptive study of IL-2 dose on regulatory T cells in type 1 diabetes (DILT1D) is a single centre non-randomised, single dose, open label, adaptive dose-finding trial. The primary objective of DILT1D is to identify the best doses of IL-2 to achieve a minimal or maximal Treg increase in participants with T1D (N=40). The design has an initial learning phase where pairs of participants are assigned to five preassigned doses followed by an interim analysis to determine the two Treg targets for the reminder of the trial. This will then be followed by an adaptive phase which is fully sequential with an interim analysis after each participant is observed to determine the choice of dose based on the optimality criterion to minimise the determinant of covariance of the estimated target doses. A dose determining committee will review all data available at the interim(s) and then provide decisions regarding the choice of dose to administer to subsequent participants. ETHICS AND DISSEMINATION: Ethical approval for the study was granted on 18 February 2013.
resultsThe results of this study will be reported through peer-reviewed journals, conference presentations and an internal organisational report. TRIAL REGISTRATION NUMBERS: NCT01827735, ISRCTN27852285, DRN767.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.