{"doi":"10.1002/cam4.71259","title":"Disaggregation of Hepatobiliary Cancer Mortality Among Asian Americans: Analysis of <scp>NVSS</scp> Mortality Data","abstract":"BACKGROUND: Asian Americans (AAs) are a diverse population, and aggregation of AA health data in national reports conceals significant differences between AA subgroups. As hepatobiliary cancer rates increase globally, a greater understanding of hepatobiliary mortality among AA subgroups could motivate precision intervention and screening programs. METHODS: Using national mortality data from 2005 to 2020, we report age-adjusted mortality rates, standardized mortality ratios, and annual percent change for hepatocellular carcinoma (HCC), nonspecified liver cancer (NOS), intrahepatic cholangiocarcinoma (ICC), extrahepatic cholangiocarcinoma (ECC), and gallbladder cancer (GBC) using national mortality data for the six largest AA subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, and Vietnamese) compared to non-Hispanic White people (NHW). RESULTS: All AA subgroups (except Asian Indians) had significantly higher hepatobiliary cancer mortality than NHW people. Vietnamese people demonstrated the highest mortality from HCC (7.65 per 100,000) and nonspecified liver cancer (5.57 per 100,000), while Korean people had the highest mortality from the biliary tract cancers: ICC (3.10 per 100,000), GBC (0.72 per 100,000), and ECC (0.97 per 100,000). Notably, ICC mortality increased across the study period. Across all subgroups, male individuals had significantly higher hepatobiliary cancer mortality than female individuals, with differences being largest for HCC and nonspecified liver cancer. CONCLUSIONS: Differences in mortality across hepatobiliary cancer types demonstrate the importance of analyzing subtypes separately. These differences also highlight the importance of developing ethnically targeted screening, prevention strategies, and treatment.","journal":"Cancer Medicine","year":2025,"id":576294,"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":0.0,"corpus_rank":10062,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5135,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1485228,"name":"Andrew Vodinh‐Ho","orcid":null,"position":1,"is_corresponding":false},{"id":1485229,"name":"Ivory Rok","orcid":null,"position":2,"is_corresponding":false},{"id":1484830,"name":"Xinran Qi","orcid":"0000-0002-1348-5444","position":3,"is_corresponding":false},{"id":1352162,"name":"George Hung","orcid":"0000-0003-1080-8102","position":4,"is_corresponding":false},{"id":1135055,"name":"Nicholas Kikuta","orcid":"0009-0006-3229-4818","position":5,"is_corresponding":false},{"id":1153633,"name":"Armaan Jamal","orcid":"0000-0002-9540-5179","position":6,"is_corresponding":false},{"id":833154,"name":"Gloria Kim","orcid":"0000-0002-9082-0082","position":7,"is_corresponding":false},{"id":74985,"name":"Latha Palaniappan","orcid":"0000-0002-1245-665X","position":8,"is_corresponding":false},{"id":707779,"name":"Malathi Srinivasan","orcid":"0000-0001-9951-0016","position":9,"is_corresponding":false},{"id":912520,"name":"Robert J. Huang","orcid":"0000-0002-0891-7409","position":10,"is_corresponding":false},{"id":439906,"name":"Adrian Matias Bacong","orcid":"0000-0003-0157-4754","position":11,"is_corresponding":false},{"id":818281,"name":"Anna Park","orcid":"0000-0002-8559-6960","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T02:57:56.636458Z","pmid":"41020616","pmcid":"PMC12477800","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":11.1111,"fair_a":0.0,"fair_i":40.0,"fair_r":25.0,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":11.11,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No persistent identifier scheme string is assigned to the study's own data.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No repository is named as the holder of the study's own derived data.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"Restricted‐use mortality data were obtained from the United States National Center for Health Statistics (NHCS) under a data use agreement. 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A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the clinical / human-subjects repository accession (e.g. from dbGaP or the European Genome-phenome Archive (EGA)) in the reference list."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T13:57:39.806803Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}