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This study investigated whether time from symptom onset to diagnosis differs by clinical syndrome and sex.<\/jats:p><\/jats:sec><jats:sec><jats:title>METHODS<\/jats:title><jats:p>This retrospective, cross\u2010sectional study included 591 participants with Alzheimer's disease (AD), frontotemporal dementia (FTD) subtypes (behavioral variant FTD [bvFTD], semantic dementia [SD], and progressive non\u2010fluent aphasia), logopenic progressive aphasia (LPA), and syndromes associated with movement disorders (corticobasal syndrome, FTD with motor neuron disease [FTD\u2010MND], and progressive supranuclear palsy). Bayesian regression models were used to compute diagnostic timelines.<\/jats:p><\/jats:sec><jats:sec><jats:title>RESULTS<\/jats:title><jats:p>Compared to AD (3.35 years; 95% credible interval [CrI]: 3.03\u20133.72), SD and bvFTD had additional delays of 9.7 (95% CrI: 1.96\u201320.64) and 14.82 months (95% CrI: 6.94\u201325.42), respectively, while FTD\u2010MND was shorter by 11.62 months (95% CrI: \u221215.7 to \u22124.68). Men with bvFTD had 23.64 month longer delays than women (95% CrI: 10.35\u201344.33).<\/jats:p><\/jats:sec><jats:sec><jats:title>DISCUSSION<\/jats:title><jats:p>Diagnostic delays may reflect syndrome\u2010specific clinical features, diagnostic complexity, and sociocultural factors. Findings highlight the need for improved diagnostic pathways and pre\u2010clinical biomarkers to facilitate earlier identification.<\/jats:p><\/jats:sec><jats:sec><jats:title>Highlights<\/jats:title><jats:p><jats:list list-type=\"bullet\">\n<jats:list-item><jats:p>Bayesian analyses revealed that diagnostic delays differ by syndrome and sex.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Alzheimer's disease (AD) was diagnosed on average 3.35 years after symptom onset.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Diagnoses were delayed in semantic and behavioral variant frontotemporal dementia (bvFTD) compared to AD.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Men with bvFTD had longer delays than women.<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Findings support need for improved diagnostic pathways and pre\u2010clinical biomarkers.<\/jats:p><\/jats:list-item>\n<\/jats:list><\/jats:p><\/jats:sec>","DOI":"10.1002\/dad2.70184","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T11:00:14Z","timestamp":1759143614000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Bayesian analysis of diagnostic timelines across Alzheimer's disease, frontotemporal dementia, and other neurodegenerative conditions"],"prefix":"10.1002","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5808-8020","authenticated-orcid":false,"given":"Ananthan","family":"Ambikairajah","sequence":"first","affiliation":[{"name":"Centre for Ageing Research and Translation Faculty of Health University of Canberra  Canberra Australian Capital Territory Australia"},{"name":"Discipline of Psychology Faculty of Health University of Canberra  Canberra Australian Capital Territory Australia"},{"name":"National Centre for Epidemiology 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