ReviewCureus2026
Personalized Medicine Interventions for Glycemic Control in Adults With Type 2 Diabetes: A Systematic Review.
Review in Cureus, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 2 diabetes mellitus (T2DM) is a heterogeneous condition in which patients differ markedly in glycemic patterns, treatment responses, and self-management capacity, limiting the effectiveness of uniform care models. Personalized medicine aims to tailor diabetes management using patient-specific data, behaviors, and risk profiles, but the clinical impact of different personalization strategies remains variable. A comprehensive search of major biomedical databases was conducted to identify eligible studies evaluating individualized interventions in adults with T2DM, and 27 studies were included. Evidence was synthesized narratively due to clinical and methodological heterogeneity. Across the included studies, personalized approaches were generally associated with improved glycemic control compared with usual care, although the magnitude and consistency of benefit varied by intervention type and implementation intensity. Larger and more durable improvements were most often observed in interventions that combined objective patient data with actionable care pathways, particularly in high-risk populations or during periods of therapeutic change. These findings suggest that personalization may improve glycemic outcomes in certain settings, although the certainty of evidence remains limited due to study heterogeneity and variations in design and quality.
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Registered trials
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