Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis

Background and objective Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2022-07, Vol.17 (7), p.e0268716-e0268716
Hauptverfasser: Abeysuriya, V, Perera, B. P. R, Wickremasinghe, A. R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0268716
container_issue 7
container_start_page e0268716
container_title PloS one
container_volume 17
creator Abeysuriya, V
Perera, B. P. R
Wickremasinghe, A. R
description Background and objective Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based on WHO regions and assessed the differences by age and sex. Methods A systematic search was conducted on studies published between 1980 January up to December 2020. PubMed, Oxford Medicine Online, EBSCO, Taylor & Francis, Oxford University Press and Embase data bases were used for searching. Supplementary searches were conducted on the Web of Science and Google Scholar. Grey literature was searched in "Open Grey" website. The two major criteria used were "adults" and "carotid intima media". The search strategy for PubMed was created first and then adapted for the Oxford Medicine Online, EBSCO, Taylor & Francis, Oxford University Press and Embase databases. Covidence software (Veritas Health Innovation, Melbourne, Australia; Results Of 2847 potential articles, 46 eligible articles were included in the review contributing data for 49 381 individuals (mean age: 55.6 years, male: 55.8%). The pooled mean CIMT for the non-CHD group was 0.65mm (95%CI: 0.62-0.69). There was a significant difference in the mean CIMT between regions (p = 0.04). Countries in the African (0.72mm), American (0.71mm) and European (0.71mm) regions had a higher pooled mean CIMT compared to those in the South East Asian (0.62mm), West Pacific (0.60mm) and Eastern Mediterranean (0.60mm) regions. Males had a higher pooled mean CIMT of 0.06mm than females in the non CHD group (p = 0.001); there were also regional differences. The CHD group had a significantly higher mean CIMT than the non-CHD group (difference = 0.23mm, p = 0.001) with regional variations. Carotid artery segment-specific-CIMT variations are present in this population. Older persons and those having CHD group had significantly thicker CIMTs. Conclusions CIMT varies according to region, age, sex and whether a person having CHD. There are significant regional differences of mean CIMT between CHD and non-CHD groups. Segment specific CIMT variations exist among regions. There is an association between CHD and CIMT values.
doi_str_mv 10.1371/journal.pone.0268716
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2688481239</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A709957662</galeid><doaj_id>oai_doaj_org_article_39ee8a3c94da4db59cd1bb826d49a702</doaj_id><sourcerecordid>A709957662</sourcerecordid><originalsourceid>FETCH-LOGICAL-c570t-a40630f79c10381d0dff251017108cb629a0843abca08d8cf54b77aa403ec95d3</originalsourceid><addsrcrecordid>eNptUl2LEzEUHURx19V_IBjwZX1oTSbJJPFBKMWPwi6C1udwJ8l0U2cm3WRa6Yu_3bQdxcqShxuSc86953KK4iXBU0IFebsO29hDO92E3k1xWUlBqkfFJVG0nFQlpo__uV8Uz1JaY8yprKqnxQXlkijF5GXx66tb-ZB1EPQWWdeFVYTNnTdoB9HDkP8SCg2aQwyDtwji4OIeLfrBd3Dk3DrrAS0z5UfvUkLX88Xt8s07NEPf9mlwXdYwKLqddz-P-M4NMIHccZ98el48aaBN7sVYr4rvHz8s558nN18-Leazm4nhAg8TYLiiuBHKEEwlsdg2TckJJoJgaeqqVIAlo1CbXK00DWe1EJBp1BnFLb0qXp10N21Ielxd0nlrkklSUpURixPCBljrTcz24l4H8Pr4EOJKZ-_etE5T5ZwEahSzwGzNlbGkrmVZWaZA4DJrvR-7bevOWeP6IUJ7Jnr-0_s7vQo7rUrBBeFZ4HoUiOF-69KgO5-Ma1voXdie5uaVZIJl6Ov_oA-7G1EryAZ834Tc1xxE9UxgpbioqsPc0wdQ-eRceJNz1vj8fkZgJ4KJIaXomr8eCdaHlP4ZRh9SqseU0t8wb9sG</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2688481239</pqid></control><display><type>article</type><title>Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis</title><source>Public Library of Science</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>EZB Electronic Journals Library</source><creator>Abeysuriya, V ; Perera, B. P. R ; Wickremasinghe, A. R</creator><contributor>Zirlik, Andreas</contributor><creatorcontrib>Abeysuriya, V ; Perera, B. P. R ; Wickremasinghe, A. R ; Zirlik, Andreas</creatorcontrib><description>Background and objective Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based on WHO regions and assessed the differences by age and sex. Methods A systematic search was conducted on studies published between 1980 January up to December 2020. PubMed, Oxford Medicine Online, EBSCO, Taylor &amp; Francis, Oxford University Press and Embase data bases were used for searching. Supplementary searches were conducted on the Web of Science and Google Scholar. Grey literature was searched in "Open Grey" website. The two major criteria used were "adults" and "carotid intima media". The search strategy for PubMed was created first and then adapted for the Oxford Medicine Online, EBSCO, Taylor &amp; Francis, Oxford University Press and Embase databases. Covidence software (Veritas Health Innovation, Melbourne, Australia; Results Of 2847 potential articles, 46 eligible articles were included in the review contributing data for 49 381 individuals (mean age: 55.6 years, male: 55.8%). The pooled mean CIMT for the non-CHD group was 0.65mm (95%CI: 0.62-0.69). There was a significant difference in the mean CIMT between regions (p = 0.04). Countries in the African (0.72mm), American (0.71mm) and European (0.71mm) regions had a higher pooled mean CIMT compared to those in the South East Asian (0.62mm), West Pacific (0.60mm) and Eastern Mediterranean (0.60mm) regions. Males had a higher pooled mean CIMT of 0.06mm than females in the non CHD group (p = 0.001); there were also regional differences. The CHD group had a significantly higher mean CIMT than the non-CHD group (difference = 0.23mm, p = 0.001) with regional variations. Carotid artery segment-specific-CIMT variations are present in this population. Older persons and those having CHD group had significantly thicker CIMTs. Conclusions CIMT varies according to region, age, sex and whether a person having CHD. There are significant regional differences of mean CIMT between CHD and non-CHD groups. Segment specific CIMT variations exist among regions. There is an association between CHD and CIMT values.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0268716</identifier><identifier>PMID: 35819948</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Age ; Arteriosclerosis ; Atherosclerosis ; Biology and Life Sciences ; Cardiovascular disease ; Cardiovascular diseases ; Care and treatment ; Carotid arteries ; Carotid artery ; Carotid artery diseases ; Coronary artery disease ; Cross-sectional studies ; Data collection ; Demographics ; Demography ; Diabetes ; Diagnosis ; Grey literature ; Health risks ; Heart ; Heart diseases ; Heterogeneity ; Males ; Medicine ; Medicine and Health Sciences ; Meta-analysis ; Older people ; Phenotypes ; Physical Sciences ; Population ; Regions ; Research and Analysis Methods ; Risk factors ; Search engines ; Search methods ; Segments ; Sex ; Systematic review ; Thickness ; Variation ; Websites</subject><ispartof>PloS one, 2022-07, Vol.17 (7), p.e0268716-e0268716</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Abeysuriya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Abeysuriya et al 2022 Abeysuriya et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c570t-a40630f79c10381d0dff251017108cb629a0843abca08d8cf54b77aa403ec95d3</citedby><cites>FETCH-LOGICAL-c570t-a40630f79c10381d0dff251017108cb629a0843abca08d8cf54b77aa403ec95d3</cites><orcidid>0000-0001-7583-602X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275715/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275715/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids></links><search><contributor>Zirlik, Andreas</contributor><creatorcontrib>Abeysuriya, V</creatorcontrib><creatorcontrib>Perera, B. P. R</creatorcontrib><creatorcontrib>Wickremasinghe, A. R</creatorcontrib><title>Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis</title><title>PloS one</title><description>Background and objective Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based on WHO regions and assessed the differences by age and sex. Methods A systematic search was conducted on studies published between 1980 January up to December 2020. PubMed, Oxford Medicine Online, EBSCO, Taylor &amp; Francis, Oxford University Press and Embase data bases were used for searching. Supplementary searches were conducted on the Web of Science and Google Scholar. Grey literature was searched in "Open Grey" website. The two major criteria used were "adults" and "carotid intima media". The search strategy for PubMed was created first and then adapted for the Oxford Medicine Online, EBSCO, Taylor &amp; Francis, Oxford University Press and Embase databases. Covidence software (Veritas Health Innovation, Melbourne, Australia; Results Of 2847 potential articles, 46 eligible articles were included in the review contributing data for 49 381 individuals (mean age: 55.6 years, male: 55.8%). The pooled mean CIMT for the non-CHD group was 0.65mm (95%CI: 0.62-0.69). There was a significant difference in the mean CIMT between regions (p = 0.04). Countries in the African (0.72mm), American (0.71mm) and European (0.71mm) regions had a higher pooled mean CIMT compared to those in the South East Asian (0.62mm), West Pacific (0.60mm) and Eastern Mediterranean (0.60mm) regions. Males had a higher pooled mean CIMT of 0.06mm than females in the non CHD group (p = 0.001); there were also regional differences. The CHD group had a significantly higher mean CIMT than the non-CHD group (difference = 0.23mm, p = 0.001) with regional variations. Carotid artery segment-specific-CIMT variations are present in this population. Older persons and those having CHD group had significantly thicker CIMTs. Conclusions CIMT varies according to region, age, sex and whether a person having CHD. There are significant regional differences of mean CIMT between CHD and non-CHD groups. Segment specific CIMT variations exist among regions. There is an association between CHD and CIMT values.</description><subject>Age</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Biology and Life Sciences</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Carotid arteries</subject><subject>Carotid artery</subject><subject>Carotid artery diseases</subject><subject>Coronary artery disease</subject><subject>Cross-sectional studies</subject><subject>Data collection</subject><subject>Demographics</subject><subject>Demography</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Grey literature</subject><subject>Health risks</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Heterogeneity</subject><subject>Males</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Older people</subject><subject>Phenotypes</subject><subject>Physical Sciences</subject><subject>Population</subject><subject>Regions</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Search engines</subject><subject>Search methods</subject><subject>Segments</subject><subject>Sex</subject><subject>Systematic review</subject><subject>Thickness</subject><subject>Variation</subject><subject>Websites</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUl2LEzEUHURx19V_IBjwZX1oTSbJJPFBKMWPwi6C1udwJ8l0U2cm3WRa6Yu_3bQdxcqShxuSc86953KK4iXBU0IFebsO29hDO92E3k1xWUlBqkfFJVG0nFQlpo__uV8Uz1JaY8yprKqnxQXlkijF5GXx66tb-ZB1EPQWWdeFVYTNnTdoB9HDkP8SCg2aQwyDtwji4OIeLfrBd3Dk3DrrAS0z5UfvUkLX88Xt8s07NEPf9mlwXdYwKLqddz-P-M4NMIHccZ98el48aaBN7sVYr4rvHz8s558nN18-Leazm4nhAg8TYLiiuBHKEEwlsdg2TckJJoJgaeqqVIAlo1CbXK00DWe1EJBp1BnFLb0qXp10N21Ielxd0nlrkklSUpURixPCBljrTcz24l4H8Pr4EOJKZ-_etE5T5ZwEahSzwGzNlbGkrmVZWaZA4DJrvR-7bevOWeP6IUJ7Jnr-0_s7vQo7rUrBBeFZ4HoUiOF-69KgO5-Ma1voXdie5uaVZIJl6Ov_oA-7G1EryAZ834Tc1xxE9UxgpbioqsPc0wdQ-eRceJNz1vj8fkZgJ4KJIaXomr8eCdaHlP4ZRh9SqseU0t8wb9sG</recordid><startdate>20220712</startdate><enddate>20220712</enddate><creator>Abeysuriya, V</creator><creator>Perera, B. P. R</creator><creator>Wickremasinghe, A. R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7583-602X</orcidid></search><sort><creationdate>20220712</creationdate><title>Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis</title><author>Abeysuriya, V ; Perera, B. P. R ; Wickremasinghe, A. R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c570t-a40630f79c10381d0dff251017108cb629a0843abca08d8cf54b77aa403ec95d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Biology and Life Sciences</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Carotid arteries</topic><topic>Carotid artery</topic><topic>Carotid artery diseases</topic><topic>Coronary artery disease</topic><topic>Cross-sectional studies</topic><topic>Data collection</topic><topic>Demographics</topic><topic>Demography</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Grey literature</topic><topic>Health risks</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Heterogeneity</topic><topic>Males</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Meta-analysis</topic><topic>Older people</topic><topic>Phenotypes</topic><topic>Physical Sciences</topic><topic>Population</topic><topic>Regions</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>Search engines</topic><topic>Search methods</topic><topic>Segments</topic><topic>Sex</topic><topic>Systematic review</topic><topic>Thickness</topic><topic>Variation</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abeysuriya, V</creatorcontrib><creatorcontrib>Perera, B. P. R</creatorcontrib><creatorcontrib>Wickremasinghe, A. R</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database (ProQuest)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abeysuriya, V</au><au>Perera, B. P. R</au><au>Wickremasinghe, A. R</au><au>Zirlik, Andreas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis</atitle><jtitle>PloS one</jtitle><date>2022-07-12</date><risdate>2022</risdate><volume>17</volume><issue>7</issue><spage>e0268716</spage><epage>e0268716</epage><pages>e0268716-e0268716</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Background and objective Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based on WHO regions and assessed the differences by age and sex. Methods A systematic search was conducted on studies published between 1980 January up to December 2020. PubMed, Oxford Medicine Online, EBSCO, Taylor &amp; Francis, Oxford University Press and Embase data bases were used for searching. Supplementary searches were conducted on the Web of Science and Google Scholar. Grey literature was searched in "Open Grey" website. The two major criteria used were "adults" and "carotid intima media". The search strategy for PubMed was created first and then adapted for the Oxford Medicine Online, EBSCO, Taylor &amp; Francis, Oxford University Press and Embase databases. Covidence software (Veritas Health Innovation, Melbourne, Australia; Results Of 2847 potential articles, 46 eligible articles were included in the review contributing data for 49 381 individuals (mean age: 55.6 years, male: 55.8%). The pooled mean CIMT for the non-CHD group was 0.65mm (95%CI: 0.62-0.69). There was a significant difference in the mean CIMT between regions (p = 0.04). Countries in the African (0.72mm), American (0.71mm) and European (0.71mm) regions had a higher pooled mean CIMT compared to those in the South East Asian (0.62mm), West Pacific (0.60mm) and Eastern Mediterranean (0.60mm) regions. Males had a higher pooled mean CIMT of 0.06mm than females in the non CHD group (p = 0.001); there were also regional differences. The CHD group had a significantly higher mean CIMT than the non-CHD group (difference = 0.23mm, p = 0.001) with regional variations. Carotid artery segment-specific-CIMT variations are present in this population. Older persons and those having CHD group had significantly thicker CIMTs. Conclusions CIMT varies according to region, age, sex and whether a person having CHD. There are significant regional differences of mean CIMT between CHD and non-CHD groups. Segment specific CIMT variations exist among regions. There is an association between CHD and CIMT values.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>35819948</pmid><doi>10.1371/journal.pone.0268716</doi><orcidid>https://orcid.org/0000-0001-7583-602X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2022-07, Vol.17 (7), p.e0268716-e0268716
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2688481239
source Public Library of Science; DOAJ Directory of Open Access Journals; PubMed Central; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library
subjects Age
Arteriosclerosis
Atherosclerosis
Biology and Life Sciences
Cardiovascular disease
Cardiovascular diseases
Care and treatment
Carotid arteries
Carotid artery
Carotid artery diseases
Coronary artery disease
Cross-sectional studies
Data collection
Demographics
Demography
Diabetes
Diagnosis
Grey literature
Health risks
Heart
Heart diseases
Heterogeneity
Males
Medicine
Medicine and Health Sciences
Meta-analysis
Older people
Phenotypes
Physical Sciences
Population
Regions
Research and Analysis Methods
Risk factors
Search engines
Search methods
Segments
Sex
Systematic review
Thickness
Variation
Websites
title Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T18%3A29%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Regional%20and%20demographic%20variations%20of%20Carotid%20artery%20Intima%20and%20Media%20Thickness%20(CIMT):%20A%20Systematic%20review%20and%20meta-analysis&rft.jtitle=PloS%20one&rft.au=Abeysuriya,%20V&rft.date=2022-07-12&rft.volume=17&rft.issue=7&rft.spage=e0268716&rft.epage=e0268716&rft.pages=e0268716-e0268716&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0268716&rft_dat=%3Cgale_plos_%3EA709957662%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2688481239&rft_id=info:pmid/35819948&rft_galeid=A709957662&rft_doaj_id=oai_doaj_org_article_39ee8a3c94da4db59cd1bb826d49a702&rfr_iscdi=true