Evidence map›Paper›PMID 37131690›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Type 1 Diabetes Prevention: a systematic review of studies testing disease-modifying therapies and features linked to treatment response.

Jamie L Felton, Kurt J Griffin, Richard A Oram, Cate Speake, S Alice Long, Suna Onengut-Gumuscu, Stephen S Rich, Gabriela Sf Monaco, Carmella Evans-Molina, Linda A DiMeglio and 9 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 10 institutions in 3 countries.

Jamie L Felton
Kurt J Griffin
Richard A Oram
Cate Speake
S Alice Long
Suna Onengut-Gumuscu
Stephen S Rich
Gabriela Sf Monaco
Carmella Evans-Molina
Linda A DiMeglio
Andrea K Steck
Dana Dabelea
Marzhan Urazbayeva
Stephen Gitelman
John M Wentworth
Maria J Redondo
Diabetes Australia · AUBaylor College of Medicine · USUniversity of Virginia · USBenaroya Research InstituteColorado School of Public Health · USRichard L. Roudebush VA Medical Center · USThe Royal Melbourne Hospital · AUUniversity of California, San Francisco · USUniversity of Exeter · GBUniversity of South Dakota · US

Funding

Diabetes-Docs: Physician-Scientist Career Development Program (DiabDocs)K12DK133995 · NIDDK · STANFORD UNIVERSITY · PI LINDA A DIMEGLIO, David Matthew Maahs · 2022 to 2026
$16.0M
Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell ApproachesR01DK122586 · NIDDK · UNIVERSITY OF VIRGINIA · PI GRANT, STRUAN F A, RICH, STEPHEN S. · 2019 to 2022
$4.8M
Type 1 Diabetes Genetic Risk Score in TrialNetR01DK121843 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI REDONDO, MARIA JOSE · 2019 to 2023
$2.4M
β cell miRNAs Function as Molecular Hubs of Type 1 Diabetes PathogenesisR01DK127308 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA · 2021 to 2024
$1.7M
NIDDK NIH HHS K12 DK133995NIDDK NIH HHS R01 DK121843NIDDK NIH HHS R01 DK122586NIDDK NIH HHS R01 DK127308
6 · The paper itself

Abstract

Background: Type 1 diabetes (T1D) results from immune-mediated destruction of insulin-producing beta cells. Efforts to prevent T1D have focused on modulating immune responses and supporting beta cell health; however, heterogeneity in disease progression and responses to therapies have made these efforts difficult to translate to clinical practice, highlighting the need for precision medicine approaches to T1D prevention. Methods: To understand the current state of knowledge regarding precision approaches to T1D prevention, we performed a systematic review of randomized-controlled trials from the past 25 years testing disease-modifying therapies in T1D and/or identifying features linked to treatment response, analyzing bias using a Cochrane-risk-of-bias instrument. Results: We identified 75 manuscripts, 15 describing 11 prevention trials for individuals with increased risk for T1D, and 60 describing treatments aimed at preventing beta cell loss in individuals at disease onset. Seventeen agents tested, mostly immunotherapies, showed benefit compared to placebo (only two prior to T1D onset). Fifty-seven studies employed precision analyses to assess features linked to treatment response. Age, measures of beta cell function and immune phenotypes were most frequently tested. However, analyses were typically not prespecified, with inconsistent methods reporting, and tended to report positive findings. Conclusions: While the quality of prevention and intervention trials was overall high, low quality of precision analyses made it difficult to draw meaningful conclusions that inform clinical practice. Thus, prespecified precision analyses should be incorporated into the design of future studies and reported in full to facilitate precision medicine approaches to T1D prevention. Plain Language Summary: Type 1 diabetes (T1D) results from the destruction of insulin-producing cells in the pancreas, necessitating lifelong insulin dependence. T1D prevention remains an elusive goal, largely due to immense variability in disease progression. Agents tested to date in clinical trials work in a subset of individuals, highlighting the need for precision medicine approaches to prevention. We systematically reviewed clinical trials of disease-modifying therapy in T1D. While age, measures of beta cell function, and immune phenotypes were most commonly identified as factors that influenced treatment response, the overall quality of these studies was low. This review reveals an important need to proactively design clinical trials with well-defined analyses to ensure that results can be interpreted and applied to clinical practice.

Identifiers

PMID37131690
PMCPMC10153317
OpenAlexW4366160669

What Socratic 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 Socratic graph.