{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Escorial M"],"funding":["NAVARRO-TRIPODI FOUNDATION","SPANISH CLINICAL PHARMACOLOGY SOCIETY","National Drugs Plan","Spanish Clinical Pharmacology Society","NATIONAL DRUGS PLAN","ALICANTE INSTITUTE FOR HEALTH AND BIOMEDICAL RESEARCH","Navarro-Tripodi Foundation","Alicante Institute for Health and Biomedical Research"],"pagination":["2056"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11428664"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(9)"],"pubmed_abstract":["<h4>Background/objective</h4>There are several questionnaires for the challenge of anticipating opioid use disorder (OUD). However, many are not specific for chronic non-cancer pain (CNCP) or have been developed in the American population, whose sociodemographic factors are very different from the Spanish population, leading to scarce translation into clinical practice. Thus, the aim of this study is to prospectively validate a predictive model for OUD in Spanish patients under long-term opioids.<h4>Methods</h4>An innovative two-stage predictive model was developed from retrospective (<i>n</i> = 129) and non-overlapping prospective (<i>n</i> = 100) cohorts of real-world CNCP outpatients. All subjects used prescribed opioids for 6 or more months. Sociodemographic, clinical and pharmacologic"],"journal":["Biomedicines"],"pubmed_title":["Predictive Model for Opioid Use Disorder in Chronic Pain: A Development and Validation Study."],"pmcid":["PMC11428664"],"funding_grant_id":["2021 Research Grant","UGP 21-116","2022 Research Award","2023I031"],"pubmed_authors":["Margarit C","Peiro AM","Muriel J","Agullo L","Escorial M","Morales D","Panadero A","Zandonai T"],"additional_accession":[]},"is_claimable":false,"name":"Predictive Model for Opioid Use Disorder in Chronic Pain: A Development and Validation Study.","description":"<h4>Background/objective</h4>There are several questionnaires for the challenge of anticipating opioid use disorder (OUD). However, many are not specific for chronic non-cancer pain (CNCP) or have been developed in the American population, whose sociodemographic factors are very different from the Spanish population, leading to scarce translation into clinical practice. Thus, the aim of this study is to prospectively validate a predictive model for OUD in Spanish patients under long-term opioids.<h4>Methods</h4>An innovative two-stage predictive model was developed from retrospective (<i>n</i> = 129) and non-overlapping prospective (<i>n</i> = 100) cohorts of real-world CNCP outpatients. All subjects used prescribed opioids for 6 or more months. Sociodemographic, clinical and pharmacologic","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2026-05-27T03:15:10.831Z","creation":"2025-04-04T12:53:54.493Z"},"accession":"S-EPMC11428664","cross_references":{"pubmed":["39335568"],"doi":["10.3390/biomedicines12092056"]}}