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{"title"=>"Carotid Artery Intima-Media Thickness, Carotid Plaque and Coronary Heart Disease and Stroke in Chinese", "type"=>"journal", "authors"=>[{"first_name"=>"Kuo-Liong", "last_name"=>"Chien"}, {"first_name"=>"Ta-Chen", "last_name"=>"Su"}, {"first_name"=>"Jiann-Shing", "last_name"=>"Jeng"}, {"first_name"=>"Hsiu-Ching", "last_name"=>"Hsu"}, {"first_name"=>"Wei-Tien", "last_name"=>"Chang"}, {"first_name"=>"Ming-Fong", "last_name"=>"Chen"}, {"first_name"=>"Yuan-Teh", "last_name"=>"Lee"}, {"first_name"=>"Frank B.", "last_name"=>"Hu"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"1932-6203", "pmid"=>"18927612", "doi"=>"10.1371/journal.pone.0003435", "isbn"=>"1932-6203"}, "id"=>"da78c342-fd28-3b1b-ab26-e90bc8e8e609", "abstract"=>"BACKGROUND: Our aim was to prospectively investigate the association between carotid artery intima-media thickness (IMT) as well as carotid plaque and incidence of coronary heart disease (CHD) and stroke in Chinese, among whom data are limited.\\nMETHODS AND FINDINGS: We conducted a community-based cohort study composed of 2190 participants free of cardiovascular disease at baseline in one community. During a median 10.5-year follow up, we documented 68 new cases of coronary heart disease and 94 cases of stroke. The multivariate relative risks (RRs) associated with a change of 1 standard deviation of maximal common carotid IMT were 1.38 (95% confidence interval [CI], 1.12-1.70) for CHD and 1.47 (95% CI, 1.28-1.69) for stroke. The corresponding RRs with internal carotid IMT were 1.47 (95% CI, 1.21-1.79) for CHD and 1.52 (95% CI, 1.31-1.76) for stroke. Carotid plaque measured by the degree of diameter stenosis was also significantly associated with increased risk of CHD (p for trend<0.0001) and stroke (p for trend<0.0001). However, these associations were largely attenuated when adjusting for IMT measurements.\\nCONCLUSIONS: This prospective study indicates a significant association between carotid IMT and incidence of CHD and stroke in Chinese adults. These measurements may be useful for cardiovascular risk assessment and stratification in Chinese.", "link"=>"http://www.mendeley.com/research/carotid-artery-intimamedia-thickness-carotid-plaque-coronary-heart-disease-stroke-chinese", "reader_count"=>22, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>4, "Student > Postgraduate"=>5, "Other"=>4, "Student > Master"=>2, "Student > Bachelor"=>3, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>4, "Student > Postgraduate"=>5, "Other"=>4, "Student > Master"=>2, "Student > Bachelor"=>3, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Engineering"=>1, "Nursing and Health Professions"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>14, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>14}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "group_count"=>2}

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• http://doi.org/10.1016/j.scitotenv.2017.07.124
• http://doi.org/10.1016/j.atherosclerosis.2015.06.038
• http://doi.org/10.1007/s12170-009-0020-0
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• http://doi.org/10.1016/j.atherosclerosis.2012.06.019
• http://doi.org/10.1001/jamanetworkopen.2019.4873
• http://doi.org/10.1016/j.atherosclerosis.2010.04.009
• http://doi.org/10.1080/21681163.2014.930674
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• http://doi.org/10.1097/MD.0000000000009832
• http://doi.org/10.1186/1471-2261-12-66
• http://doi.org/10.1371/journal.pone.0196572

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/918478"], "description"=>"<p>Abbreviation: AUC, area under receiver operative characteristic curve; CHD, coronary heart disease; IMT, intima-media thickness; IDI, Integrated discrimination improvement; NRI, Net reclassification improvement.</p>*<p>Integrated discrimination improvement.</p>†<p>Net reclassification improvement with a priori risk categories according to (0–5%, 5–10%, 10–20%, and > = 20%).</p>", "links"=>[], "tags"=>["comparing", "models", "imt", "chd"], "article_id"=>588926, "categories"=>["Medicine", "Neuroscience"], "users"=>["Kuo-Liong Chien", "Ta-Chen Su", "Jiann-Shing Jeng", "Hsiu-Ching Hsu", "Wei-Tien Chang", "Ming-Fong Chen", "Yuan-Teh Lee", "Frank B. Hu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003435.t005", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_statistics_comparing_risk_prediction_for_the_models_without_and_with_IMT_for_the_risk_of_CHD_and_stroke_/588926", "title"=>"Summary statistics comparing risk prediction for the models without and with IMT for the risk of CHD and stroke.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 07:50:45"}
• {"files"=>["https://ndownloader.figshare.com/files/918387"], "description"=>"<p>Abbreviation: CCA, common carotid artery; ICA, internal carotid artery; IMT, intima-media thickness; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TG: triglycerides; HDL, high density lipoprotein; LDL, low density lipoprotein.</p>", "links"=>[], "tags"=>["spearman", "coefficients", "carotid-artery", "intima-media", "plaque", "scores", "atherosclerotic"], "article_id"=>588830, "categories"=>["Medicine", "Neuroscience"], "users"=>["Kuo-Liong Chien", "Ta-Chen Su", "Jiann-Shing Jeng", "Hsiu-Ching Hsu", "Wei-Tien Chang", "Ming-Fong Chen", "Yuan-Teh Lee", "Frank B. Hu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003435.t002", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Adjusted_Spearman_Correlation_coefficients_of_carotid_artery_intima_media_thickness_plaque_scores_and_various_atherosclerotic_risk_factors_/588830", "title"=>"Adjusted Spearman Correlation coefficients of carotid-artery intima-media thickness, plaque scores and various atherosclerotic risk factors.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 07:50:12"}
• {"files"=>["https://ndownloader.figshare.com/files/918343"], "description"=>"<p>Model 1: adjusted for age groups (35–44, 45–54, 55–64, 65–74, > = 75 years old) and gender.</p><p>Model 2: Model 1 plus body mass index (<18, 18 to 20.9, 21 to 22.9, 23 to 24.9, or > = 25 kg/m²), alcohol intake (nondrinker/regular), exercise (yes/no), marital status (single, married or divorced), education level (<9 years, ≥9 years), occupation (no work, manual work, or professional), and family history of coronary heart disease (yes/no).</p><p>Model 3: Model 2, adding baseline hypertension, diabetes, continuous HDL-C and LDL-C variables.</p><p>Model 4: Model 3, adding metabolic syndrome (yes/no).</p>", "links"=>[], "tags"=>["risks", "intervals", "coronary", "maximal", "cca", "imt", "quartile", "carotid"], "article_id"=>588787, "categories"=>["Medicine", "Neuroscience"], "users"=>["Kuo-Liong Chien", "Ta-Chen Su", "Jiann-Shing Jeng", "Hsiu-Ching Hsu", "Wei-Tien Chang", "Ming-Fong Chen", "Yuan-Teh Lee", "Frank B. Hu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003435.t003", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Median_level_incident_rates_relative_risks_and_95_confidence_intervals_of_coronary_heart_disease_and_stroke_in_the_study_participants_according_to_maximal_CCA_IMT_quartile_and_carotid_plaque_/588787", "title"=>"Median level, incident rates, relative risks and 95% confidence intervals of coronary heart disease and stroke in the study participants according to maximal CCA IMT quartile and carotid plaque.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 07:49:54"}
• {"files"=>["https://ndownloader.figshare.com/files/918441"], "description"=>"<p>Abbreviation: CCA, common carotid artery, ICA, internal carotid artery, IMT, intima-media thickness.</p>", "links"=>[], "tags"=>["2190", "enrollment", "quartiles", "maximal", "ica", "intima", "thickness", "plaque", "stenosis", "severity"], "article_id"=>588881, "categories"=>["Medicine", "Neuroscience"], "users"=>["Kuo-Liong Chien", "Ta-Chen Su", "Jiann-Shing Jeng", "Hsiu-Ching Hsu", "Wei-Tien Chang", "Ming-Fong Chen", "Yuan-Teh Lee", "Frank B. Hu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003435.t001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_the_2190_study_participants_at_enrollment_according_to_quartiles_of_maximal_ICA_intima_media_thickness_and_plaque_stenosis_severity_measurements_/588881", "title"=>"Characteristics of the 2190 study participants at enrollment according to quartiles of maximal ICA intima media thickness and plaque stenosis severity measurements.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 07:50:27"}
• {"files"=>["https://ndownloader.figshare.com/files/918519"], "description"=>"<p>Model 1: adjusted for age groups (35–44, 45–54, 55–64, 65–74, > = 75 years old) and gender.</p><p>Model 2: Model 1 plus body mass index (<18, 18 to 20.9, 21 to 22.9, 23 to 24.9, or > = 25 kg/m²), alcohol intake (nondrinker/regular), exercise (yes/no), marital status(single, married or divorced), education level ((<9 years, ≥9 years), occupation (no work, manual work, or professional), and family history of coronary heart disease (yes/no).</p><p>Model 3: Model 2, adding baseline hypertension, diabetes, continuous HDL-C and LDL-C variables.</p><p>Model 4: Model 3, adding metabolic syndrome (yes/no).</p>", "links"=>[], "tags"=>["intervals", "jointed", "sd", "imt", "plaque", "chd"], "article_id"=>588969, "categories"=>["Medicine", "Neuroscience"], "users"=>["Kuo-Liong Chien", "Ta-Chen Su", "Jiann-Shing Jeng", "Hsiu-Ching Hsu", "Wei-Tien Chang", "Ming-Fong Chen", "Yuan-Teh Lee", "Frank B. Hu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0003435.t004", "stats"=>{"downloads"=>3, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_risk_and_95_confidence_intervals_for_jointed_analysis_of_per_1_SD_increase_in_IMT_and_1_score_increase_in_plaque_score_for_CHD_and_stroke_/588969", "title"=>"Relative risk and 95% confidence intervals for jointed analysis of per 1 SD increase in IMT and 1 score increase in plaque score for CHD and stroke.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 07:50:59"}

PMC Usage Stats | Further Information

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• {"unique-ip"=>"21", "full-text"=>"20", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
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• {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
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Relative Metric

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F1000Prime