Type 2 diabetes subtypes for precision medicine: methodological challenges and alternative prediction-based approaches
Year: 2026
Type: article
Abstract: Growing interest in precision diagnostics has stimulated efforts to classify type 2 diabetes into more granular subtypes. Recent research has focused on four pathophysiology-based subtypes: severe insulin-deficient diabetes (SIDD); severe insulin-resistant diabetes (SIRD); moderate obesity-related diabetes (MOD); and moderate age-related diabetes (MARD). While these subtypes provide an attractive framework for precision medicine, they also come with methodological challenges. This narrative review highlights three key issues: (1) uncertainty about the existence of four discrete subtypes; (2) low certainty in subtype assignment; and (3) limited evidence for prognostic and therapeutic value compared with other approaches. As an alternative to subtyping, we discuss individualised prediction models, which provide personalised treatment recommendations based on routine clinical features. These models avoid some of the limitations of discrete subtyping but they do not provide insights into a person's underlying pathophysiology. Thus, these two approaches can be viewed as complementary, each serving a different purpose in precision medicine.
Source: Diabetologia
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,490
Funders: Wellcome Trust, Bundesministerium für Bildung und Forschung, Bundesministerium für Gesundheit, European Association for the Study of Diabetes, Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen, NIHR Exeter Clinical Research Facility, BERLIN-CHEMIE, HORIZON EUROPE European Innovation Council
Awards: G296967530, G987598125
OpenAlex ID: W7171025959
