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Validation of the Martin method to estimate low-density lipoprotein cholesterol concentrations in Japanese populations and a modified method for laboratory information system application.
Ishida, Hidekazu; Yamamoto, Yasuko; Saito, Midori; Ishihara, Yuya; Fujita, Takashi; Ishida, Mariko; Kato, Yohei; Nohisa, Yuzuru; Matsunami, Hidetoshi; Takemura, Masao; Hata, Tadayoshi; Ito, Hiroyasu; Saito, Kuniaki.
Affiliation
  • Ishida H; Department of Disease Control and Prevention, Fujita Health University Graduate School of Health Sciences, Toyoake, Japan.
  • Yamamoto Y; Department of Clinical Laboratory, 97824Fujita Health University Hospital, Japan.
  • Saito M; Department of Disease Control and Prevention, Fujita Health University Graduate School of Health Sciences, Toyoake, Japan.
  • Ishihara Y; Advanced Diagnostic System Research Laboratory, 12695Fujita Health University, Japan.
  • Fujita T; Department of Clinical Laboratory, 97824Fujita Health University Hospital, Japan.
  • Ishida M; Department of Clinical Laboratory, 97824Fujita Health University Hospital, Japan.
  • Kato Y; Department of Clinical Laboratory, 97824Fujita Health University Hospital, Japan.
  • Nohisa Y; Department of Clinical Laboratory, 476117Gifu University Hospital, Japan.
  • Matsunami H; Department of Clinical Laboratory, 476117Gifu University Hospital, Japan.
  • Takemura M; Department of Clinical Laboratory, 476117Gifu University Hospital, Japan.
  • Hata T; Matsunami Research Park, Japan.
  • Ito H; Department of Disease Control and Prevention, Fujita Health University Graduate School of Health Sciences, Toyoake, Japan.
  • Saito K; Advanced Diagnostic System Research Laboratory, 12695Fujita Health University, Japan.
Ann Clin Biochem ; 59(5): 316-323, 2022 09.
Article in En | MEDLINE | ID: mdl-35443810
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Clinical Laboratory Information Systems Type of study: Diagnostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Ann Clin Biochem Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Clinical Laboratory Information Systems Type of study: Diagnostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Ann Clin Biochem Year: 2022 Document type: Article Affiliation country: Country of publication: