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http://hdl.handle.net/11452/30018
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DC Field | Value | Language |
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dc.contributor.author | Ichihara, Kiyoshi | - |
dc.contributor.author | Barth, Julian H | - |
dc.contributor.author | Klee, George | - |
dc.contributor.author | Shimizu, Yoshihisa | - |
dc.contributor.author | Xia, Liangyu | - |
dc.contributor.author | Hoffmann, Mariza | - |
dc.contributor.author | Shah, Swarup | - |
dc.contributor.author | Matsha, Tandi | - |
dc.contributor.author | Wassung, Janette | - |
dc.contributor.author | Smit, Francois | - |
dc.contributor.author | Ruzhanskaya, Anna | - |
dc.contributor.author | Straseski, Joely | - |
dc.contributor.author | Bustos, Daniel N | - |
dc.contributor.author | Kimura, Shogo | - |
dc.contributor.author | Takahashi, Aki | - |
dc.date.accessioned | 2022-12-21T13:19:19Z | - |
dc.date.available | 2022-12-21T13:19:19Z | - |
dc.date.issued | 2017-04 | - |
dc.identifier.citation | Ichihara, K. vd. (2017). ''A global multicenter study on reference values: 2. Exploration of sources of variation across the countries''. Clinica Chimica Acta, 467(Special Issue), 83-97. | tr_TR |
dc.identifier.issn | 0009-8981 | - |
dc.identifier.uri | https://doi.org/10.1016/j.cca.2016.09.015 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0009898116303898 | - |
dc.identifier.uri | 1873-3492 | - |
dc.identifier.uri | http://hdl.handle.net/11452/30018 | - |
dc.description.abstract | Objectives: The intent of this study, based on a global multicenter study of reference values (RVs) for serum analytes was to explore biological sources of variation (SVs) of the RVs among 12 countries around the world. Methods: As described in the first part of this paper, RVs of 50 major serum analytes from 13,396 healthy individuals living in 12 countries were obtained. Analyzed in this study were 23 clinical chemistry analytes and 8 analytes measured by immunoturbidimetry. Multiple regression analysis was performed for each gender, country by country, analyte by analyte, by setting four major SVs (age, BMI, and levels of drinking and smoking) as a fixed set of explanatory variables. For analytes with skewed distributions, log-transformation was applied. The association of each source of variation with RVs was expressed as the partial correlation coefficient (rp). Results: Obvious gender and age-related changes in the RVs were observed in many analytes, almost consistently between countries. Compilation of age-related variations of RVs after adjusting for between-country differences revealed peculiar patterns specific to each analyte. Judged from the rp, BMI related changes were observed for many nutritional and inflammatory markers in almost all countries. However, the slope of linear regression of BMI vs. RV differed greatly among countries for some analytes. Alcohol and smoking-related changes were observed less conspicuously in a limited number of analytes. Conclusion: The features of sex, age, alcohol, and smoking-related changes in RVs of the analytes were largely comparable worldwide. The finding of differences in BMI-related changes among countries in some analytes is quite relevant to understanding ethnic differences in susceptibility to nutritionally related diseases. | tr_TR |
dc.description.sponsorship | Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science - 24256003 | tr_TR |
dc.language.iso | en | tr_TR |
dc.publisher | Elsevier | tr_TR |
dc.rights | info:eu-repo/semantics/openAccess | tr_TR |
dc.subject | Medical laboratory technology | tr_TR |
dc.subject | Age-related changes | tr_TR |
dc.subject | Alcohol-related changes | tr_TR |
dc.subject | BMI-related changes | tr_TR |
dc.subject | Body mass index (BMI) | tr_TR |
dc.subject | Ethnicity-related changes | tr_TR |
dc.subject | Multiple regression analysis | tr_TR |
dc.subject | Reference values | tr_TR |
dc.subject | Smoking-related changes | tr_TR |
dc.subject | Worldwide multicenter study | tr_TR |
dc.subject | C-reactive protein | tr_TR |
dc.subject | Common reference intervals | tr_TR |
dc.subject | Ethnic-groups | tr_TR |
dc.subject | Myocardial-infarction | tr_TR |
dc.subject | Risk-factors | tr_TR |
dc.subject | Collaborative derivation | tr_TR |
dc.subject | Worldwide multicenter | tr_TR |
dc.subject | Biochemical analytes | tr_TR |
dc.subject | Cardiovascular risk | tr_TR |
dc.subject | Hepatic steatosis | tr_TR |
dc.subject.mesh | Age factors | tr_TR |
dc.subject.mesh | Body mass index | tr_TR |
dc.subject.mesh | Clinical laboratory techniques | tr_TR |
dc.subject.mesh | Ethnic groups | tr_TR |
dc.subject.mesh | Female | tr_TR |
dc.subject.mesh | Humans | tr_TR |
dc.subject.mesh | Internationality | tr_TR |
dc.subject.mesh | Male | tr_TR |
dc.subject.mesh | Reference values | tr_TR |
dc.subject.mesh | Sex factors | tr_TR |
dc.title | A global multicenter study on reference values: 2. Exploration of sources of variation across the countries | tr_TR |
dc.type | Article | tr_TR |
dc.identifier.wos | 000402352700013 | tr_TR |
dc.identifier.scopus | 2-s2.0-85020668326 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Tıp Fakültesi/Tıbbi Biyokimya Anabilim Dalı. | tr_TR |
dc.identifier.startpage | 83 | tr_TR |
dc.identifier.endpage | 97 | tr_TR |
dc.identifier.volume | 467 | tr_TR |
dc.identifier.issue | Special Issue | tr_TR |
dc.relation.journal | Clinica Chimica Acta | tr_TR |
dc.contributor.buuauthor | Özarda, Yeşim | - |
dc.contributor.researcherid | AAL-8873-2021 | tr_TR |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.identifier.pubmed | 27666762 | tr_TR |
dc.subject.wos | Medical laboratory technology | tr_TR |
dc.indexed.wos | SCIE | tr_TR |
dc.indexed.scopus | Scopus | tr_TR |
dc.indexed.pubmed | PubMed | tr_TR |
dc.wos.quartile | Q2 | tr_TR |
dc.contributor.scopusid | 35741320500 | tr_TR |
dc.subject.scopus | Clinical Chemistry; Thyrotropin; Chemical Species | tr_TR |
dc.subject.emtree | Alanine aminotransferase | tr_TR |
dc.subject.emtree | Albumin | tr_TR |
dc.subject.emtree | Alkaline phosphatase | tr_TR |
dc.subject.emtree | Amylase | tr_TR |
dc.subject.emtree | C reactive protein | tr_TR |
dc.subject.emtree | Complement component C3 | tr_TR |
dc.subject.emtree | Complement component C4 | tr_TR |
dc.subject.emtree | Creatine kinase | tr_TR |
dc.subject.emtree | Folic acid | tr_TR |
dc.subject.emtree | Gamma glutamyltransferase | tr_TR |
dc.subject.emtree | High density lipoprotein cholesterol | tr_TR |
dc.subject.emtree | Immunoglobulin A | tr_TR |
dc.subject.emtree | Immunoglobulin G | tr_TR |
dc.subject.emtree | Immunoglobulin M | tr_TR |
dc.subject.emtree | Low density lipoprotein cholesterol | tr_TR |
dc.subject.emtree | Parathyroid hormone | tr_TR |
dc.subject.emtree | Adult | tr_TR |
dc.subject.emtree | African | tr_TR |
dc.subject.emtree | Age distribution | tr_TR |
dc.subject.emtree | Alcohol consumption | tr_TR |
dc.subject.emtree | Alcoholism | tr_TR |
dc.subject.emtree | Argentina | tr_TR |
dc.subject.emtree | Article | tr_TR |
dc.subject.emtree | Body mass | tr_TR |
dc.subject.emtree | China | tr_TR |
dc.subject.emtree | Controlled study | tr_TR |
dc.subject.emtree | Correlation analysis | tr_TR |
dc.subject.emtree | Diagnostic | tr_TR |
dc.subject.emtree | Test accuracy study | tr_TR |
dc.subject.emtree | Drinking | tr_TR |
dc.subject.emtree | Ethnic difference | tr_TR |
dc.subject.emtree | Ethnicity | tr_TR |
dc.subject.emtree | Female | tr_TR |
dc.subject.emtree | Genetic susceptibility | tr_TR |
dc.subject.emtree | Geographic distribution | tr_TR |
dc.subject.emtree | Human | tr_TR |
dc.subject.emtree | India | tr_TR |
dc.subject.emtree | Japan | tr_TR |
dc.subject.emtree | Male | tr_TR |
dc.subject.emtree | Menopause | tr_TR |
dc.subject.emtree | Multicenter study | tr_TR |
dc.subject.emtree | Multiple regression | tr_TR |
dc.subject.emtree | Pakistan | tr_TR |
dc.subject.emtree | Philippines | tr_TR |
dc.subject.emtree | Reference value | tr_TR |
dc.subject.emtree | Russian federation | tr_TR |
dc.subject.emtree | Saudi | tr_TR |
dc.subject.emtree | Smoking | tr_TR |
dc.subject.emtree | South Africa | tr_TR |
dc.subject.emtree | Turkey (republic) | tr_TR |
dc.subject.emtree | United kingdom | tr_TR |
dc.subject.emtree | United states | tr_TR |
dc.subject.emtree | Age | tr_TR |
dc.subject.emtree | Clinical trial | tr_TR |
dc.subject.emtree | Ethnic group | tr_TR |
dc.subject.emtree | International cooperation | tr_TR |
dc.subject.emtree | Laboratory technique | tr_TR |
dc.subject.emtree | Reference value | tr_TR |
dc.subject.emtree | Sex difference | tr_TR |
dc.subject.emtree | Standards | tr_TR |
Appears in Collections: | Scopus Web of Science |
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1-s2.0-S0009898116303898-main.pdf | 4.09 MB | Adobe PDF | View/Open |
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