ReviewBiomedicines2026
The Emerging Potential of Diabetes Technology to Improve Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients with Type 1 Diabetes: A Narrative Review.
Review in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as an increasingly common comorbidity in individuals with type 1 diabetes (T1D), driven by the rising prevalence of obesity and insulin resistance in this population. Modern diabetes technologies have transformed T1D management and may favorably influence several pathophysiological pathways implicated in T1D-associated MASLD. We aimed to summarize and critically appraise current evidence regarding the emerging potential of diabetes technologies, such as continuous glucose monitoring (CGM), continuous subcutaneous insulin infusion (CSII) and automated insulin delivery (AID) systems, to influence MASLD-related outcomes in adults with T1D, and further discuss therapeutic implications and remaining evidence gaps. The existing evidence remains limited and is predominantly based on observational cross-sectional studies. The available data suggest that diabetes technologies may favorably influence the metabolic milieu associated with MASLD by increasing time in range, reducing glycemic variability and hypoglycemia, optimizing insulin delivery and improving the overall metabolic control. However, evidence for an association with hepatic outcomes remains limited, indirect and inconsistent. Emerging observational data have linked less favorable CGM-derived metrics, particularly lower time in range and greater glycemic variability, with hepatic steatosis and fibrosis, although some studies have identified insulin resistance as a stronger determinant than glycemic metrics alone. CSII therapy has been associated with favorable metabolic profiles, but confounding factors may limit causal interpretation. No study has demonstrated yet a direct beneficial effect of AID systems on hepatic steatosis or fibrosis in patients with T1D. In conclusion, diabetes technologies may favorably influence several pathophysiological pathways involved in T1D-associated MASLD. However, current evidence regarding potential hepatic benefits remains limited and indirect, precluding technology-specific recommendations for MASLD prevention or treatment in T1D. Adequately powered, prospective randomized studies with standardized imaging-based hepatic outcomes are needed to establish causality and define evidence-based clinical recommendations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.