{"id":"https://openalex.org/W2902681987","doi":"https://doi.org/10.1093/jamia/ocy151","title":"A population approach using cholesterol imputation to identify adults with high cardiovascular risk: a report from AHRQ\u2019s EvidenceNow initiative","display_name":"A population approach using cholesterol imputation to identify adults with high cardiovascular risk: a report from AHRQ\u2019s EvidenceNow initiative","publication_year":2018,"publication_date":"2018-10-24","ids":{"openalex":"https://openalex.org/W2902681987","doi":"https://doi.org/10.1093/jamia/ocy151","mag":"2902681987","pmid":"https://pubmed.ncbi.nlm.nih.gov/30496426"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocy151","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocy151","pdf_url":"https://academic.oup.com/jamia/article-pdf/26/2/155/34151279/ocy151.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/jamia/article-pdf/26/2/155/34151279/ocy151.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064502502","display_name":"Samuel Cykert","orcid":"https://orcid.org/0000-0003-2037-6809"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samuel Cykert","raw_affiliation_strings":["The Division of General Medicine and Clinical Epidemiology and the Cecil G. Sheps Center for Health Services Research, the University of North Carolina, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"The Division of General Medicine and Clinical Epidemiology and the Cecil G. Sheps Center for Health Services Research, the University of North Carolina, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023851909","display_name":"Darren A. DeWalt","orcid":"https://orcid.org/0000-0003-2270-751X"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Darren A DeWalt","raw_affiliation_strings":["The Division of General Medicine and Clinical Epidemiology and the Cecil G. Sheps Center for Health Services Research, the University of North Carolina, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"The Division of General Medicine and Clinical Epidemiology and the Cecil G. Sheps Center for Health Services Research, the University of North Carolina, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007359139","display_name":"Bryan J. Weiner","orcid":"https://orcid.org/0000-0002-6996-9480"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan J Weiner","raw_affiliation_strings":["Department of Global Public Health, School of Public Health, University of Washington, Seattle, Washington, USA"],"affiliations":[{"raw_affiliation_string":"Department of Global Public Health, School of Public Health, University of Washington, Seattle, Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083277542","display_name":"Michael Pignone","orcid":"https://orcid.org/0000-0002-6657-7342"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Pignone","raw_affiliation_strings":["The Department of Medicine, The Dell Medical School, University of Texas, Austin, Texas, USA"],"affiliations":[{"raw_affiliation_string":"The Department of Medicine, The Dell Medical School, University of Texas, Austin, Texas, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034035782","display_name":"Jason P. Fine","orcid":"https://orcid.org/0000-0001-7208-7983"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Fine","raw_affiliation_strings":["The Department of Biostatistics, The Gillings School of Global Public Health, the University of North Carolina, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"The Department of Biostatistics, The Gillings School of Global Public Health, the University of North Carolina, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101731290","display_name":"Jung In Kim","orcid":"https://orcid.org/0000-0002-6731-5256"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jung In Kim","raw_affiliation_strings":["The Department of Biostatistics, The Gillings School of Global Public Health, the University of North Carolina, Chapel Hill, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"The Department of Biostatistics, The Gillings School of Global Public Health, the University of North Carolina, Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064502502"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":{"value":3967,"currency":"USD","value_usd":3967},"fwci":0.2367,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61905739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"2","first_page":"155","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10394","display_name":"Lipoproteins and Cardiovascular Health","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10394","display_name":"Lipoproteins and Cardiovascular Health","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8055398464202881},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7362163066864014},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6240329146385193},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.6078457236289978},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.565035343170166},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4909220337867737},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.4537988603115082},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.35273441672325134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28734445571899414},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.22724485397338867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1884748935699463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14850693941116333}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8055398464202881},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7362163066864014},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6240329146385193},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.6078457236289978},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.565035343170166},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4909220337867737},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.4537988603115082},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.35273441672325134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28734445571899414},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.22724485397338867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1884748935699463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14850693941116333},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002784","descriptor_name":"Cholesterol","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D002784","descriptor_name":"Cholesterol","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D002784","descriptor_name":"Cholesterol","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D002784","descriptor_name":"Cholesterol","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D002784","descriptor_name":"Cholesterol","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011320","descriptor_name":"Primary Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011320","descriptor_name":"Primary Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011320","descriptor_name":"Primary Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011320","descriptor_name":"Primary Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011320","descriptor_name":"Primary Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012042","descriptor_name":"Registries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocy151","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocy151","pdf_url":"https://academic.oup.com/jamia/article-pdf/26/2/155/34151279/ocy151.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:30496426","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30496426","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:europepmc.org:5366644","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6373981","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocy151","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocy151","pdf_url":"https://academic.oup.com/jamia/article-pdf/26/2/155/34151279/ocy151.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902681987.pdf","grobid_xml":"https://content.openalex.org/works/W2902681987.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1966347094","https://openalex.org/W2019071303","https://openalex.org/W2100334459","https://openalex.org/W2121874472","https://openalex.org/W2144413677","https://openalex.org/W2154467145","https://openalex.org/W2177520399","https://openalex.org/W2547673416","https://openalex.org/W2551232524"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"Large":[0],"practice":[1],"networks":[2],"have":[3],"access":[4],"to":[5,12,29,47,116,135,173],"EHR":[6],"data":[7,21,46],"that":[8,57],"can":[9,59],"be":[10],"used":[11],"drive":[13],"important":[14],"improvements":[15],"in":[16,35,111],"population":[17],"health.":[18],"However,":[19,179],"missing":[20,156],"often":[22],"limit":[23],"improvement":[24],"efforts.":[25],"Our":[26],"goal":[27],"was":[28],"determine":[30],"the":[31,55,72,91,112,160,180],"proportion":[32],"of":[33,38,74,93,103,108],"patients":[34,84,118,154,206],"a":[36,95,100,136,184],"cohort":[37],"small":[39],"primary":[40],"care":[41],"practices":[42,68],"who":[43,85,125,207],"lacked":[44,86],"cholesterol":[45,87,102,157],"calculate":[48],"ASCVD":[49,113,123,197],"risk":[50,81,114,124,129,150,168,198,205],"scores":[51,169],"and":[52,76,106,187,201],"then":[53,132],"gauge":[54],"extent":[56],"imputation":[58,139],"accurately":[60,202],"identify":[61,117],"individuals":[62],"already":[63],"at":[64],"high":[65,204],"risk.":[66],"219":[67],"enrolled.":[69],"Patients":[70],"between":[71],"ages":[73],"40":[75,165],"79":[77],"years":[78],"qualified":[79,148],"for":[80,128,149],"calculation.":[82],"For":[83],"data,":[88],"we":[89],"measured":[90],"effect":[92],"employing":[94],"conservative":[96],"estimation":[97,163],"strategy":[98,182,195],"using":[99,176,193],"total":[101],"170":[104],"mg/dl":[105,110],"HDL-cholesterol":[107],"50":[109],"equation":[115],"with":[119],"\u2265":[120,170],"10%,":[121],"10-year":[122],"were":[126,155],"eligible":[127],"reduction":[130],"interventions":[131],"compared":[133,172],"this":[134],"rigorous":[137],"formal":[138,177],"methodology.":[140],"345":[141],"440":[142],"patients,":[143],"average":[144],"age":[145],"58":[146],"years,":[147],"scores.":[151],"108":[152],"515":[153],"information.":[158],"Using":[159],"\"good":[161],"value\"":[162],"methodology,":[164],"565":[166],"had":[167],"10%":[171],"43":[174],"205":[175],"imputation.":[178],"latter":[181],"yielded":[183],"lower":[185],"specificity":[186],"higher":[188],"false":[189],"positive":[190],"rate.":[191],"Estimates":[192],"either":[194],"achieved":[196],"stratification":[199],"quickly":[200],"identified":[203],"could":[208],"benefit":[209],"from":[210],"intervention.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
