Evidence map›Paper›PMID 41047989›Full record

ArticleDiabetes, obesity & metabolism2025

Repurposing colchicine for reduction of residual inflammatory risk in type 1 diabetes: Design and rationale of the REC1TE trial.

David S Mathiesen, Josefine V Hansen, Aske Høck, Casper K Nielsen, Miriam G Pedersen, Peter L Kristensen, Henrik U Andersen, Marie Louise Aarestrup, Julie L Forman, Jonatan I Bagger and 4 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

David S MathiesenCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.ORCID 0000-0002-3545-5721
Josefine V HansenCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Aske HøckCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Casper K NielsenCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Miriam G PedersenCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Peter L KristensenDepartment of Endocrinology and Nephrology, North Zealand University Hospital, Hillerød, Denmark.
Henrik U AndersenSteno Diabetes Center Copenhagen, Herlev, Denmark.
Marie Louise AarestrupSteno Diabetes Center Copenhagen, Herlev, Denmark.
Julie L FormanSection of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Jonatan I BaggerCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Thomas F DejgaardCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.ORCID 0000-0002-0097-7052
Filip K KnopCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Nicklas J JohansenCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Asger B LundCenter for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.

Funding

Breakthrough T1D 4-SRA-2023-1285-M-B
6 · The paper itself

Abstract

aimsCompared to people without diabetes, individuals with type 1 diabetes have a several-fold increased risk of cardiovascular (CV) morbidity and mortality despite guideline-recommended management of traditional risk factors; so-called residual CV risk. Systemic low-grade inflammation has emerged as an independent risk factor for CV events with residual inflammatory risk referring to the increased risk conferred by inflammation when all other risk factors are well-treated. Several clinical trials in individuals without type 1 diabetes have demonstrated improved CV outcomes when targeting residual inflammatory risk with anti-inflammatory therapies, of which especially low-dose colchicine has shown promise and has been approved by the FDA for atherosclerotic CV disease (CVD) prevention. MATERIALS AND

methodsThis trial is an investigator-initiated, randomised, double-blind, placebo-controlled phase 2b trial evaluating low-dose colchicine (0.5 mg/day) in individuals with type 1 diabetes, established or high risk of atherosclerotic CVD and residual inflammatory risk (defined as two consecutive measurements of high-sensitivity C-reactive protein (hsCRP) ≥2 mg/L). A total of 102 participants have been included in the trial and randomly assigned to colchicine or placebo (1:1) for up to 52 weeks in addition to standard of care. The primary endpoint is the difference in hsCRP at week 26. Recruitment began August 2023 and last patient last visit is expected in February 2026. RESULTS AND

conclusionsHere, we present the protocol for a study designed to evaluate the efficacy of low-dose colchicine on residual inflammatory risk in individuals with type 1 diabetes.

Indexed as

Anti-Inflammatory AgentsCardiovascular DiseasesColchicineDiabetes Mellitus, Type 1Drug RepositioningInflammationAdultClinical Trials, Phase II as TopicC-Reactive ProteinDouble-Blind MethodFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicAnti-Inflammatory AgentsColchicineC-Reactive Proteincardiovascularcardiovascular diseasecardiovascular inflammationcolchicineresidual inflammatory risktype 1 diabetes

Identifiers

PMID41047989
PMCPMC12587263

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Registered trials

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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.