biostudies-literatureWang Ythe Development Centre for Medical Science &amp; Technology, National Health Commission of the People’s Repulic of Chinathe Development Centre for Medical Science & Technology, National Health Commission of the People's Repulic of China74https://www.ebi.ac.uk/biostudies/studies/S-EPMC11380328biostudies-literatureUnknown22(1)<h4>Background</h4>This study aimed to synthesize and quantitatively examine Health State Utility Values (HSUVs) for Type 2 Diabetes Mellitus (T2DM) and its complications, providing a robust meta-regression framework for selecting appropriate HSUV estimates.<h4>Method</h4>We conducted a systematic review to extract HSUVs for T2DM and its complications, encompassing various influencing factors. Relevant literature was sourced from a review spanning 2000-2020, supplemented by literature from PubMed, Embase, and the Web of Science (up to March 2024). Multivariate meta-regression was performed to evaluate the impact of measurement tools, tariffs, health status, and clinical and demographic variables on HSUVs.<h4>Results</h4>Our search yielded 118 studies, contributing 1044 HSUVs. The HSUVs forHealth and quality of life outcomesHealth state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression.PMC11380328WKZ2023CX210008Pan HYang JShan HChen JWang YXu YfalseHealth state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression.<h4>Background</h4>This study aimed to synthesize and quantitatively examine Health State Utility Values (HSUVs) for Type 2 Diabetes Mellitus (T2DM) and its complications, providing a robust meta-regression framework for selecting appropriate HSUV estimates.<h4>Method</h4>We conducted a systematic review to extract HSUVs for T2DM and its complications, encompassing various influencing factors. Relevant literature was sourced from a review spanning 2000-2020, supplemented by literature from PubMed, Embase, and the Web of Science (up to March 2024). Multivariate meta-regression was performed to evaluate the impact of measurement tools, tariffs, health status, and clinical and demographic variables on HSUVs.<h4>Results</h4>Our search yielded 118 studies, contributing 1044 HSUVs. The HSUVs for2024-01-01T00:00:00Z2024 Sep2026-05-29T07:08:02.28Z2025-02-19T02:34:14.233ZS-EPMC113803283924453610.1186/s12955-024-02288-1