Comparison of Diabetes Risk Score Estimates and Cardiometabolic Risk Profiles in a Middle-Aged Irish Population
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{"title"=>"Comparison of diabetes risk score estimates and cardiometabolic risk profiles in a middle-aged irish population", "type"=>"journal", "authors"=>[{"first_name"=>"Catherine M.", "last_name"=>"Phillips", "scopus_author_id"=>"7403135902"}, {"first_name"=>"Patricia M.", "last_name"=>"Kearney", "scopus_author_id"=>"14009447200"}, {"first_name"=>"Vera J.", "last_name"=>"McCarthy", "scopus_author_id"=>"36661055300"}, {"first_name"=>"Janas M.", "last_name"=>"Harrington", "scopus_author_id"=>"19638777000"}, {"first_name"=>"Anthony P.", "last_name"=>"Fitzgerald", "scopus_author_id"=>"7102904099"}, {"first_name"=>"Ivan J.", "last_name"=>"Perry", "scopus_author_id"=>"35353505400"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84893561456", "doi"=>"10.1371/journal.pone.0078950", "issn"=>"19326203", "pui"=>"372309799", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "pmid"=>"24236074", "scopus"=>"2-s2.0-84893561456"}, "id"=>"0036264c-8793-314e-8a4b-52a5b76464fd", "abstract"=>"BACKGROUND: To compare diabetes risk assessment tools in estimating risk of developing type 2 diabetes (T2DM) and to evaluate cardiometabolic risk profiles in a middle-aged Irish population.\\n\\nMETHODS: Future risk of developing T2DM was estimated using 7 risk scores, including clinical measures with or without anthropometric, biological and lifestyle data, in the cross-sectional Mitchelstown cohort of 2,047 middle-aged men and women. Cardiometabolic phenotypes including markers of glucose metabolism, inflammatory and lipid profiles were determined.\\n\\nRESULTS: Estimates of subjects at risk for developing T2DM varied considerably according to the risk assessment tool used (0.3% to 20%), with higher proportions of males at risk (0-29.2% vs. 0.1-13.4%, for men and women, respectively). Extrapolated to the Irish population of similar age, the overall number of adults at high risk of developing T2DM ranges from 3,378 to 236,632. Numbers of non-optimal metabolic features were generally greater among those at high risk of developing T2DM. However, cardiometabolic profile characterisation revealed that only those classified at high risk by the Griffin (UK Cambridge) score displayed a more pro-inflammatory, obese, hypertensive, dysglycaemic and insulin resistant metabolic phenotype.\\n\\nCONCLUSIONS: Most diabetes risk scores examined offer limited ability to identify subjects with metabolic abnormalities and at risk of developing T2DM. Our results highlight the need to validate diabetes risk scoring tools for each population studied and the potential for developing an Irish diabetes risk score, which may help to promote self awareness and identify high risk individuals and diabetes hot spots for targeted public health interventions.", "link"=>"http://www.mendeley.com/research/comparison-diabetes-risk-score-estimates-cardiometabolic-risk-profiles-middleaged-irish-population", "reader_count"=>13, "reader_count_by_academic_status"=>{"Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>2}, "reader_count_by_user_role"=>{"Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Engineering"=>1, "Nursing and Health Professions"=>2, "Agricultural and Biological Sciences"=>1, "Medicine and Dentistry"=>7, "Psychology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Taiwan"=>1, "United Kingdom"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1278837"], "description"=>"<p>Lowest risk was identified in the 45–54 year old group (black bars) for every diabetes risk score. Greatest risk was detected in the 55–64 year olds (white bars) for the Balkau and both Kahn risk scores, whereas the FINDRISC, Schulze and Griffin risk scores demonstrated greatest risk in the 65–74 year old individuals (grey bars).</p>", "links"=>[], "tags"=>["mitchelstown", "cohort", "subjects", "t2dm"], "article_id"=>849120, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078950.g001", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_proportion_of_Mitchelstown_cohort_subjects_at_risk_of_developing_T2DM_according_to_each_diabetes_risk_score_and_age_group_/849120", "title"=>"Comparison of the proportion of Mitchelstown cohort subjects at risk of developing T2DM according to each diabetes risk score and age group.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-13 03:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1278838"], "description"=>"<p>Significant differences between individuals classified as at high risk of developing T2DM (black bars) and those classified as not being at high risk (white bars) were observed for the Griffin (<i>P</i><0.001) and Kahn Basic risk scores (<i>P</i><0.005).</p>", "links"=>[], "tags"=>["non-optimal", "metabolic", "subjects"], "article_id"=>849121, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078950.g002", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Number_of_non_optimal_metabolic_features_among_subjects_according_to_each_diabetes_risk_score_/849121", "title"=>"Number of non-optimal metabolic features among subjects according to each diabetes risk score.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-13 03:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1278840"], "description"=>"<p>Good agreement was achieved between the two risk scores based on lifestyle factors (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0078950#pone-0078950-g003\" target=\"_blank\">Figure 3A</a>) with 56.5% of the subjects classified at risk by FINDRISC being simultaneously classified as at risk by the Schulze risk score. Lower concordance (29.2%) was observed when the three clinical based risk scores were compared (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0078950#pone-0078950-g003\" target=\"_blank\">Figure 3B</a>). Agreement was even lower (20.9%) when the three risk scores which led to the greatest prevalence were compared (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0078950#pone-0078950-g003\" target=\"_blank\">Figure 3C</a>), suggesting that these risk scores do not classify the same people as being at risk.</p>", "links"=>[], "tags"=>["regards", "individuals", "classified", "scores"], "article_id"=>849123, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078950.g003", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Agreement_regards_whether_the_same_individuals_were_classified_as_at_risk_according_to_the_different_scores_was_examined_/849123", "title"=>"Agreement regards whether the same individuals were classified as at risk according to the different scores was examined.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-13 03:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1278842"], "description"=>"a<p>Values are presented as means ± SD.</p>b<p>Represents <i>P</i> value <0.05.</p>c<p>Represents <i>P</i> value <0.001.</p>", "links"=>[], "tags"=>["profiles"], "article_id"=>849125, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078950.t003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_profiles_according_to_each_diabetes_risk_score_a_/849125", "title"=>"Cardiometabolic profiles according to each diabetes risk score<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-13 03:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1278843"], "description"=>"<p>Extrapolation of the Mitchelstown findings to the Irish population: numbers of individuals at high risk of developing T2DM by each diabetes risk score according to gender and age group.</p>", "links"=>[], "tags"=>["mitchelstown", "findings", "irish", "numbers", "individuals", "t2dm"], "article_id"=>849126, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078950.t002", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Extrapolation_of_the_Mitchelstown_findings_to_the_Irish_population_numbers_of_individuals_at_high_risk_of_developing_T2DM_by_each_diabetes_risk_score_according_to_gender_and_age_group_/849126", "title"=>"Extrapolation of the Mitchelstown findings to the Irish population: numbers of individuals at high risk of developing T2DM by each diabetes risk score according to gender and age group.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-13 03:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1278844"], "description"=>"<p>Proportion (percentage and 95% confidence interval) of subjects at risk of developing T2DM in the Mitchelstown cohort according to each diabetes risk score by gender using FPG and HbA<sub>1c</sub> to exclude existing diabetes.</p>", "links"=>[], "tags"=>["subjects", "t2dm", "mitchelstown", "cohort", "fpg"], "article_id"=>849127, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078950.t001", "stats"=>{"downloads"=>4, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Proportion_percentage_and_95_confidence_interval_of_subjects_at_risk_of_developing_T2DM_in_the_Mitchelstown_cohort_according_to_each_diabetes_risk_score_by_gender_using_FPG_and_HbA_1c_to_exclude_existing_diabetes_/849127", "title"=>"Proportion (percentage and 95% confidence interval) of subjects at risk of developing T2DM in the Mitchelstown cohort according to each diabetes risk score by gender using FPG and HbA<sub>1c</sub> to exclude existing diabetes.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-13 03:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/1278845", "https://ndownloader.figshare.com/files/1278846", "https://ndownloader.figshare.com/files/1278847", "https://ndownloader.figshare.com/files/1278848", "https://ndownloader.figshare.com/files/1278849", "https://ndownloader.figshare.com/files/1278850"], "description"=>"<div><p>Background</p><p>To compare diabetes risk assessment tools in estimating risk of developing type 2 diabetes (T2DM) and to evaluate cardiometabolic risk profiles in a middle-aged Irish population.</p><p>Methods</p><p>Future risk of developing T2DM was estimated using 7 risk scores, including clinical measures with or without anthropometric, biological and lifestyle data, in the cross-sectional Mitchelstown cohort of 2,047 middle-aged men and women. Cardiometabolic phenotypes including markers of glucose metabolism, inflammatory and lipid profiles were determined.</p><p>Results</p><p>Estimates of subjects at risk for developing T2DM varied considerably according to the risk assessment tool used (0.3% to 20%), with higher proportions of males at risk (0–29.2% vs. 0.1–13.4%, for men and women, respectively). Extrapolated to the Irish population of similar age, the overall number of adults at high risk of developing T2DM ranges from 3,378 to 236,632. Numbers of non-optimal metabolic features were generally greater among those at high risk of developing T2DM. However, cardiometabolic profile characterisation revealed that only those classified at high risk by the Griffin (UK Cambridge) score displayed a more pro-inflammatory, obese, hypertensive, dysglycaemic and insulin resistant metabolic phenotype.</p><p>Conclusions</p><p>Most diabetes risk scores examined offer limited ability to identify subjects with metabolic abnormalities and at risk of developing T2DM. Our results highlight the need to validate diabetes risk scoring tools for each population studied and the potential for developing an Irish diabetes risk score, which may help to promote self awareness and identify high risk individuals and diabetes hot spots for targeted public health interventions.</p></div>", "links"=>[], "tags"=>["estimates", "cardiometabolic", "profiles", "middle-aged", "irish"], "article_id"=>849128, "categories"=>["Biological Sciences"], "users"=>["Catherine M. Phillips", "Patricia M. Kearney", "Vera J. McCarthy", "Janas M. Harrington", "Anthony P. Fitzgerald", "Ivan J. Perry"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0078950.s001", "https://dx.doi.org/10.1371/journal.pone.0078950.s002", "https://dx.doi.org/10.1371/journal.pone.0078950.s003", "https://dx.doi.org/10.1371/journal.pone.0078950.s004", "https://dx.doi.org/10.1371/journal.pone.0078950.s005", "https://dx.doi.org/10.1371/journal.pone.0078950.s006"], "stats"=>{"downloads"=>44, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_Diabetes_Risk_Score_Estimates_and_Cardiometabolic_Risk_Profiles_in_a_Middle_Aged_Irish_Population_/849128", "title"=>"Comparison of Diabetes Risk Score Estimates and Cardiometabolic Risk Profiles in a Middle-Aged Irish Population", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-11-13 03:18:56"}

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  • {"unique-ip"=>"6", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}
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Relative Metric

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