{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang Y"],"funding":["the Development Centre for Medical Science &amp; Technology, National Health Commission of the People’s Repulic of China","the Development Centre for Medical Science & Technology, National Health Commission of the People's Repulic of China"],"pagination":["74"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11380328"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["<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 for"],"journal":["Health and quality of life outcomes"],"pubmed_title":["Health state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression."],"pmcid":["PMC11380328"],"funding_grant_id":["WKZ2023CX210008"],"pubmed_authors":["Pan H","Yang J","Shan H","Chen J","Wang Y","Xu Y"],"additional_accession":[]},"is_claimable":false,"name":"Health state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression.","description":"<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 for","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2026-05-29T07:08:02.28Z","creation":"2025-02-19T02:34:14.233Z"},"accession":"S-EPMC11380328","cross_references":{"pubmed":["39244536"],"doi":["10.1186/s12955-024-02288-1"]}}