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...
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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. |
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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 & 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.</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 & 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.</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. 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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. 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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 & 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.</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> |
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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 |
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