{"doi":"10.1093/gerona/glt136","title":"A Clinical Frailty Index in Aging Mice: Comparisons With Frailty Index Data in Humans","abstract":null,"journal":"The Journals of Gerontology: Series A","year":2014,"id":645296,"datarank":0.9414965234012468,"base_score":6.2766434893416445,"endowment":6.2766434893416445,"self_citation_contribution":0.9414965234012468,"citation_network_contribution":0.0,"self_endowment_contribution":0.9414965234012468,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":531,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":24,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1680190,"name":"Barbara A. Hildebrand","orcid":null,"position":1,"is_corresponding":false},{"id":1290438,"name":"Michael Sun","orcid":"0000-0002-6998-3266","position":2,"is_corresponding":false},{"id":1680191,"name":"Michael R. Rockwood","orcid":null,"position":3,"is_corresponding":false},{"id":632688,"name":"Robert A. Rose","orcid":"0000-0001-9880-3482","position":4,"is_corresponding":false},{"id":85737,"name":"Kenneth Rockwood","orcid":"0000-0002-6674-995X","position":5,"is_corresponding":false},{"id":264662,"name":"Susan E. Howlett","orcid":"0000-0001-5351-6308","position":6,"is_corresponding":false},{"id":1680189,"name":"Jocelyne C. Whitehead","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A Clinical Frailty Index in Aging Mice: Comparisons With Frailty Index Data in Humans","abstract":"We previously quantified frailty in aged mice with frailty index (FI) that used specialized equipment to measure health parameters. Here we developed a simplified, noninvasive method to quantify frailty through clinical assessment of C57BL/6J mice (5-28 months) and compared the relationship between FI scores and age in mice and humans. FIs calculated with the original performance-based eight-item FI increased from 0.06 ± 0.01 at 5 months to 0.36 ± 0.06 at 19 months and 0.38 ± 0.04 at 28 months (n = 14). By contrast, the increase was graded with a 31-item clinical FI (0.02 ± 0.005 at 5 months; 0.12 ± 0.008 at 19 months; 0.33 ± 0.02 at 28 months; n = 14). FI scores calculated from 70 self-report items from the first wave of the Survey of Health, Ageing and Retirement in Europe were plotted as function of age (n = 30,025 people). The exponential relationship between FI scores and age (normalized to 90% mortality) was similar in mice and humans for the clinical FI but not the eight-item FI. This noninvasive FI based on clinical measures can be used in longitudinal studies to quantify frailty in mice. Unlike the performance-based eight-item mouse FI, the clinical FI exhibits key features of the FI established for use in humans.","is_dataset_classified":null,"base_score":6.2766434893416445,"endowment":6.2766434893416445,"datacite_reuse_total":24,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24051346","pmcid":"PMC4022099","openalex_id":"https://openalex.org/W2162670203","authors":[],"funders":[{"funder_name":"Canadian Institutes of Health Research","grant_id":"MOP 126018","title":null},{"funder_name":"Canadian Institutes of Health Research","grant_id":"unidentified","title":"unidentified"}],"total_grants":2,"fwci":7.3923,"citation_percentile":0.97862366,"influential_citations":0,"citation_trend":[{"year":2014,"count":7},{"year":2015,"count":19},{"year":2016,"count":22},{"year":2017,"count":20},{"year":2018,"count":25},{"year":2019,"count":44},{"year":2020,"count":32},{"year":2021,"count":51},{"year":2022,"count":53},{"year":2023,"count":50},{"year":2024,"count":85},{"year":2025,"count":78},{"year":2026,"count":44}],"oa_status":"hybrid","license":"cc-by-nc","oa_locations":[{"url":"https://academic.oup.com/biomedgerontology/article-pdf/69/6/621/16744031/glt136.pdf","host_type":"journal"},{"url":"https://academic.oup.com/biomedgerontology/article-pdf/69/6/621/16744031/glt136.pdf","host_type":"publisher"},{"url":"http://academic.oup.com/biomedgerontology/article-pdf/69/6/621/16744031/glt136.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1093/gerona/glt136","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/24051346","host_type":"repository"},{"url":"https://research.manchester.ac.uk/en/publications/b3de5e83-ffbf-4238-856b-c4d6a0318752","host_type":"repository"},{"url":"http://europepmc.org/articles/PMC4022099","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4022099","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC4022099","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC4022099?pdf=render","host_type":"Europe_PMC"},{"url":"http://dx.doi.org/10.1093/gerona/glt136","host_type":""},{"url":"https://dx.doi.org/10.1093/gerona/glt136","host_type":""}],"fields_of_study":["Frailty in Older Adults","Health Systems, Economic Evaluations, Quality of Life","Nutrition and Health in Aging","0301 basic medicine","0303 health sciences","03 medical and health sciences","Aged","Aged, 80 and over","Aging","Animals","Female","Follow-Up Studies","Frail Elderly","Geriatric Assessment","Health Status","Humans","Male","Mice","Mice, Inbred C57BL","Time Factors"],"mesh_terms":["Aged","Aged, 80 and over","Aging","Animals","Female","Follow-Up Studies","Health Status","Humans","Male","Mice, Inbred C57BL","Time Factors","Geriatric Assessment","Frail Elderly","Mice"],"keywords":["Frailty Index","Medicine","Ageing","Gerontology","Index (typography)","Longitudinal study","Internal medicine","Pathology","Computer science","Senescence.","Deficit Accumulation","Deficit Index","Aged, 80 and over","Male","Aging","Time Factors","Frail Elderly","Health Status","Mice, Inbred C57BL","Mice","Animals","Humans","Original Article","Female","Geriatric Assessment","Aged","Follow-Up Studies"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. 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