{"doi":"10.1002/alz.13161","title":"Predicting amyloid‐beta pathology in the general population","abstract":"INTRODUCTION: Reliable models to predict amyloid beta (Aβ) positivity in the general aging population are lacking but could become cost-efficient tools to identify individuals at risk of developing Alzheimer's disease. METHODS: We developed Aβ prediction models in the clinical Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study (n = 4,119) including a broad range of easily ascertainable predictors (demographics, cognition and daily functioning, health and lifestyle factors). Importantly, we determined the generalizability of our models in the population-based Rotterdam Study (n = 500). RESULTS: The best performing model in the A4 Study (area under the curve [AUC] = 0.73 [0.69-0.76]), including age, apolipoprotein E (APOE) ε4 genotype, family history of dementia, and subjective and objective measures of cognition, walking duration and sleep behavior, was validated in the independent Rotterdam Study with higher accuracy (AUC = 0.85 [0.81-0.89]). Yet, the improvement relative to a model including only age and APOE ε4 was marginal. DISCUSSION: Aβ prediction models including inexpensive and non-invasive measures were successfully applied to a general population-derived sample more representative of typical older non-demented adults.","journal":"Alzheimer s & Dementia","year":2023,"id":374924,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.907,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1136845,"name":"Joyce van Arendonk","orcid":"0000-0001-7294-1633","position":1,"is_corresponding":false},{"id":858939,"name":"Rebecca M. E. Steketee","orcid":"0000-0003-2689-5490","position":2,"is_corresponding":false},{"id":108720,"name":"Frank J.A. van Rooij","orcid":"0000-0002-8600-9852","position":3,"is_corresponding":false},{"id":17646,"name":"Gennady V. Roshchupkin","orcid":"0000-0002-3403-2313","position":4,"is_corresponding":false},{"id":38764,"name":"M Arfan Ikram","orcid":"0000-0003-0372-8585","position":5,"is_corresponding":false},{"id":245378,"name":"Meike W. Vernooij","orcid":"0000-0003-4658-2176","position":6,"is_corresponding":false},{"id":232091,"name":"Julia Neitzel","orcid":"0000-0001-5739-466X","position":7,"is_corresponding":false},{"id":1136844,"name":"Phuong Thuy Nguyen Ho","orcid":"0000-0003-3082-9285","position":0,"is_corresponding":true}],"reference_count":46,"raw_metadata":null,"created_at":"2026-07-19T01:16:15.380731Z","pmid":"37303116","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}