{"doi":"10.1002/alz.13422","title":"Different cohort, disparate results: Selection bias is a key factor in autopsy cohorts","abstract":"INTRODUCTION: Research-oriented autopsy cohorts provide critical insights into dementia pathobiology. However, different studies sometimes report disparate findings, partially because each study has its own recruitment biases. We hypothesized that a straightforward metric, related to the percentage of research volunteers cognitively normal at recruitment, would predict other inter-cohort differences. METHODS: The National Alzheimer's Coordinating Center (NACC) provided data on N = 7178 autopsied participants from 28 individual research centers. Research cohorts were grouped based on the proportion of participants with normal cognition at initial clinical visit. RESULTS: Cohorts with more participants who were cognitively normal at recruitment contained more individuals who were older, female, had lower frequencies of apolipoprotein E ε4, Lewy body disease, and frontotemporal dementia, but higher rates of cerebrovascular disease. Alzheimer's disease (AD) pathology was little different between groups. DISCUSSION: The percentage of participants recruited while cognitively normal predicted differences in findings in autopsy research cohorts. Most differences were in non-AD pathologies. HIGHLIGHTS: Systematic differences exist between autopsy cohorts that serve dementia research. We propose a metric to use for gauging a research-oriented autopsy cohort. It is essential to consider the characteristics of autopsy cohorts.","journal":"Alzheimer s & Dementia","year":2023,"id":323444,"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":37,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6844,"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":253925,"name":"Walter A. Kukull","orcid":"0000-0001-8761-9014","position":1,"is_corresponding":false},{"id":245002,"name":"Karin B. Nelson","orcid":"0000-0002-9859-5473","position":2,"is_corresponding":false},{"id":42820,"name":"Charles Mock","orcid":"0000-0002-0564-568X","position":3,"is_corresponding":false},{"id":412161,"name":"Yen‐Chi Chen","orcid":"0000-0002-4485-306X","position":4,"is_corresponding":false},{"id":72839,"name":"Kwun Chuen Gary Chan","orcid":"0000-0003-1095-7837","position":5,"is_corresponding":false},{"id":244999,"name":"David W. Fardo","orcid":"0000-0002-7207-4696","position":6,"is_corresponding":false},{"id":244994,"name":"Yuriko Katsumata","orcid":"0000-0002-0188-8094","position":7,"is_corresponding":false},{"id":245006,"name":"Erin L. Abner","orcid":"0000-0002-9566-4111","position":8,"is_corresponding":false},{"id":245009,"name":"Peter T. Nelson","orcid":"0000-0002-6161-1265","position":9,"is_corresponding":false},{"id":470514,"name":"Kathryn Gauthreaux","orcid":null,"position":0,"is_corresponding":true}],"reference_count":58,"raw_metadata":null,"created_at":"2026-07-19T01:07:52.377944Z","pmid":"37592813","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":[]}