{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Vialard F"],"funding":["Fonds de Recherche du Québec - Santé","India-Canada Centre for Innovative Multidisciplinary Partnerships to Accelerate Community Transformation and Sustainability","Canadian Institutes of Health Research"],"pagination":["467-473"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12573389"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["101(7)"],"pubmed_abstract":["<h4>Objectives</h4>Across Canada, in the last decade, incidence rates of sexually transmitted and blood-borne infections (STBBI) have peaked (syphilis) or plateaued (hepatitis C virus (HCV) and HIV). Key populations (gay, bisexual and other men who have sex with men, trans and gender-diverse people, and people who use injection drugs) are at greater risk for these STBBIs, so correctly predicting risk before screening potentially infected individuals is crucial. We developed and validated a diagnostic clinical risk prediction model (CRPM) estimating HIV, HCV and syphilis risk for two key populations in two Canadian provinces.<h4>Methods</h4>We used 20 variables and STBBI test results from a cross-sectional study evaluating multiplexed testing (detection of coinfections) in New Brunswick and"],"journal":["Sexually transmitted infections"],"pubmed_title":["Developing and validating a Bayesian clinical risk prediction model for three sexually transmitted infections in key populations from two Canadian provinces."],"pmcid":["PMC12573389"],"funding_grant_id":["PJT153149","324154","252845","3072"],"pubmed_authors":["Materniak S","Dumont Blais A","Vialard F","Pant Pai N","Bartlett S","Webster D","Nair S","Zhang Q"],"additional_accession":[]},"is_claimable":false,"name":"Developing and validating a Bayesian clinical risk prediction model for three sexually transmitted infections in key populations from two Canadian provinces.","description":"<h4>Objectives</h4>Across Canada, in the last decade, incidence rates of sexually transmitted and blood-borne infections (STBBI) have peaked (syphilis) or plateaued (hepatitis C virus (HCV) and HIV). Key populations (gay, bisexual and other men who have sex with men, trans and gender-diverse people, and people who use injection drugs) are at greater risk for these STBBIs, so correctly predicting risk before screening potentially infected individuals is crucial. We developed and validated a diagnostic clinical risk prediction model (CRPM) estimating HIV, HCV and syphilis risk for two key populations in two Canadian provinces.<h4>Methods</h4>We used 20 variables and STBBI test results from a cross-sectional study evaluating multiplexed testing (detection of coinfections) in New Brunswick and","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-06-05T09:46:27.304Z","creation":"2026-05-15T03:12:46.323Z"},"accession":"S-EPMC12573389","cross_references":{"pubmed":["40274402"],"doi":["10.1136/sextrans-2024-056286"]}}