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Disease-modifying therapies and features linked to treatment response in type 1 diabetes prevention: a systematic
Jamie L Felton1,2, Kurt J Griffin3,4, Richard A Oram5,6,7
1Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Background:
Type 1 diabetes (T1D) results from immune-mediated destruction of insulin-producing beta cells. Prevention efforts have focused on immune modulation and supporting beta cell health before or around diagnosis; however, heterogeneity in disease progression and therapy response has limited translation to clinical practice, highlighting the need for precision medicine approaches to T1D disease modification.
Methods:
To understand the state of knowledge in this area, we performed a systematic review of randomized-controlled trials with ≥50 participants cataloged in PubMed or Embase from the past 25 years testing T1D disease-modifying therapies and/or identifying features linked to treatment response, analyzing bias using a Cochrane-risk-of-bias instrument.
Results:
We identify and summarize 75 manuscripts, 15 describing 11 prevention trials for individuals with increased risk for T1D, and 60 describing treatments aimed at preventing beta cell loss at disease onset. Seventeen interventions, mostly immunotherapies, show benefit compared to placebo (only two prior to T1D onset). Fifty-seven studies employ precision analyses to assess features linked to treatment response. Age, beta cell function measures, and immune phenotypes are most frequently tested. However, analyses are typically not prespecified, with inconsistent methods of reporting, and tend to report positive findings.
Conclusions:
While the quality of prevention and intervention trials is overall high, the low quality of precision analyses makes it difficult to draw meaningful conclusions that inform clinical practice. To facilitate precision medicine approaches to T1D prevention, considerations for future precision studies include the incorporation of uniform outcome measures, reproducible biomarkers, and prespecified, fully powered precision analyses into future trial design.
Insights
Precision medicine for type 1 diabetes (T1D) requires better trial design. Future studies need uniform outcomes, biomarkers, and prespecified analyses to guide T1D prevention and treatment effectively.
Area of Science:
- Immunology
- Endocrinology
- Clinical Trials
Background:
- Type 1 diabetes (T1D) involves immune destruction of beta cells.
- Current prevention strategies face challenges due to disease heterogeneity.
- Precision medicine is needed for effective T1D disease modification.
Purpose of the Study:
- To systematically review randomized-controlled trials (RCTs) for T1D disease modification.
- To analyze interventions and identify features linked to treatment response.
- To assess the quality of precision analyses in T1D research.
Main Methods:
- Systematic review of RCTs (≥50 participants) from PubMed/Embase (last 25 years).
- Analysis of T1D disease-modifying therapies and treatment response predictors.
- Bias assessment using Cochrane risk-of-bias tool.
Main Results:
- 75 manuscripts reviewed; 11 prevention trials and 60 intervention trials identified.
- 17 interventions, mainly immunotherapies, showed benefits over placebo.
- Precision analyses often lacked prespecification, consistent reporting, and tended to report positive findings.
Conclusions:
- High quality of T1D prevention/intervention trials, but low quality of precision analyses.
- Meaningful conclusions for clinical practice are hindered by poor precision analysis quality.
- Future trials require uniform outcomes, biomarkers, and prespecified analyses for precision medicine in T1D.
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