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{"title"=>"Screening for rheumatic heart disease among peruvian children: A two-stage sampling observational study", "type"=>"journal", "authors"=>[{"first_name"=>"Ernest", "last_name"=>"Spitzer", "scopus_author_id"=>"56450456300"}, {"first_name"=>"Jorge", "last_name"=>"Mercado", "scopus_author_id"=>"56845034400"}, {"first_name"=>"Fabian", "last_name"=>"Islas", "scopus_author_id"=>"55787000400"}, {"first_name"=>"Martina", "last_name"=>"Rothenbühler", "scopus_author_id"=>"56334914100"}, {"first_name"=>"Reto", "last_name"=>"Kurmann", "scopus_author_id"=>"40161794900"}, {"first_name"=>"Fabian", "last_name"=>"Zürcher", "scopus_author_id"=>"56538334300"}, {"first_name"=>"Peter", "last_name"=>"Krähenmann", "scopus_author_id"=>"53881517700"}, {"first_name"=>"Nassip", "last_name"=>"Llerena", "scopus_author_id"=>"56845601300"}, {"first_name"=>"Peter", "last_name"=>"Jüni", "scopus_author_id"=>"7004263326"}, {"first_name"=>"Pedro", "last_name"=>"Torres", "scopus_author_id"=>"57198169279"}, {"first_name"=>"Thomas", "last_name"=>"Pilgrim", "scopus_author_id"=>"23670489400"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84941670931", "sgr"=>"84941670931", "doi"=>"10.1371/journal.pone.0133004", "pui"=>"605997019", "pmid"=>"26208006", "isbn"=>"1932-6203", "issn"=>"19326203"}, "id"=>"1a9a40be-c9f3-372f-a31d-2d89a0e7ccb1", "abstract"=>"BACKGROUND: The objective of the study was to evaluate the implications of different classifications of rheumatic heart disease on estimated prevalence, and to systematically assess the importance of incidental findings from echocardiographic screening among schoolchildren in Peru.\\n\\nMETHODS: We performed a cluster randomized observational survey using portable echocardiography among schoolchildren aged 5 to 16 years from randomly selected public and private schools in Arequipa, Peru. Rheumatic heart disease was defined according to the modified World Health Organization (WHO) criteria and the World Heart Federation (WHF) criteria.\\n\\nFINDINGS: Among 1395 eligible students from 40 classes and 20 schools, 1023 (73%) participated in the present survey. The median age of the children was 11 years (interquartile range [IQR] 8-13 years) and 50% were girls. Prevalence of possible, probable and definite rheumatic heart disease according to the modified WHO criteria amounted to 19.7/1000 children and ranged from 10.2/1000 among children 5 to 8 years of age to 39.8/1000 among children 13 to 16 years of age; the prevalence of borderline/definite rheumatic heart disease according to the WHF criteria was 3.9/1000 children. 21 children (2.1%) were found to have congenital heart disease, 8 of which were referred for percutaneous or surgical intervention.\\n\\nCONCLUSIONS: Prevalence of RHD in Peru was considerably lower compared to endemic regions in sub-Saharan Africa, southeast Asia, and Oceania; and paralleled by a comparable number of undetected congenital heart disease. Strategies to address collateral findings from echocardiographic screening are necessary in the setup of active surveillance programs for RHD.\\n\\nTRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02353663.", "link"=>"http://www.mendeley.com/research/screening-rheumatic-heart-disease-among-peruvian-children-twostage-sampling-observational-study", "reader_count"=>36, "reader_count_by_academic_status"=>{"Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>2, "Student > Master"=>13, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Other"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>2, "Student > Master"=>13, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Other"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>1, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>15, "Agricultural and Biological Sciences"=>1, "Neuroscience"=>1, "Business, Management and Accounting"=>1, "Psychology"=>8, "Social Sciences"=>5, "Computer Science"=>1, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>15}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>5}, "Psychology"=>{"Psychology"=>8}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>2}

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• http://doi.org/10.1016/j.ijcard.2017.09.184
• http://doi.org/10.1016/j.ijcard.2016.06.088
• http://doi.org/10.1038/s41598-019-53540-4
• http://doi.org/10.1111/imj.13381
• http://doi.org/10.1080/17441692.2018.1515970
• http://doi.org/10.1007/s11908-019-0677-6
• http://doi.org/10.1161/CIRCIMAGING.118.007928
• http://doi.org/10.1017/S1047951120003881

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• {"id"=>"624670064898404352", "text"=>"#PLOSONE: Screening for Rheumatic Heart Disease among Peruvian Children: A Two-Stage Sampling Observational S ... http://t.co/MTCLQTE3Rn", "created_at"=>"2015-07-24T19:58:43Z", "user"=>"rhedproject", "user_name"=>"rhed_project", "user_profile_image"=>"http://pbs.twimg.com/profile_images/571423429920714752/HX-VxSRD_normal.png"}
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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/2189701"], "description"=>"<p>Predictors of rheumatic heart disease.</p>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494176, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133004.t004", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predictors_of_rheumatic_heart_disease_/1494176", "title"=>"Predictors of rheumatic heart disease.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-24 04:14:49"}
• {"files"=>["https://ndownloader.figshare.com/files/2189706", "https://ndownloader.figshare.com/files/2189707", "https://ndownloader.figshare.com/files/2189708", "https://ndownloader.figshare.com/files/2189709", "https://ndownloader.figshare.com/files/2189710", "https://ndownloader.figshare.com/files/2189711"], "description"=>"<div><p>Background</p><p>The objective of the study was to evaluate the implications of different classifications of rheumatic heart disease on estimated prevalence, and to systematically assess the importance of incidental findings from echocardiographic screening among schoolchildren in Peru.</p><p>Methods</p><p>We performed a cluster randomized observational survey using portable echocardiography among schoolchildren aged 5 to 16 years from randomly selected public and private schools in Arequipa, Peru. Rheumatic heart disease was defined according to the modified World Health Organization (WHO) criteria and the World Heart Federation (WHF) criteria.</p><p>Findings</p><p>Among 1395 eligible students from 40 classes and 20 schools, 1023 (73%) participated in the present survey. The median age of the children was 11 years (interquartile range [IQR] 8–13 years) and 50% were girls. Prevalence of possible, probable and definite rheumatic heart disease according to the modified WHO criteria amounted to 19.7/1000 children and ranged from 10.2/1000 among children 5 to 8 years of age to 39.8/1000 among children 13 to 16 years of age; the prevalence of borderline/definite rheumatic heart disease according to the WHF criteria was 3.9/1000 children. 21 children (2.1%) were found to have congenital heart disease, 8 of which were referred for percutaneous or surgical intervention.</p><p>Conclusions</p><p>Prevalence of RHD in Peru was considerably lower compared to endemic regions in sub-Saharan Africa, southeast Asia, and Oceania; and paralleled by a comparable number of undetected congenital heart disease. Strategies to address collateral findings from echocardiographic screening are necessary in the setup of active surveillance programs for RHD.</p><p>Trial Registration</p><p>ClinicalTrials.gov identifier: <a href=\"https://clinicaltrials.gov/ct2/show/NCT02353663\" target=\"_blank\">NCT02353663</a></p></div>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494181, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0133004.s001", "https://dx.doi.org/10.1371/journal.pone.0133004.s002", "https://dx.doi.org/10.1371/journal.pone.0133004.s003", "https://dx.doi.org/10.1371/journal.pone.0133004.s004", "https://dx.doi.org/10.1371/journal.pone.0133004.s005", "https://dx.doi.org/10.1371/journal.pone.0133004.s006"], "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Screening_for_Rheumatic_Heart_Disease_among_Peruvian_Children_A_Two_Stage_Sampling_Observational_Study_/1494181", "title"=>"Screening for Rheumatic Heart Disease among Peruvian Children: A Two-Stage Sampling Observational Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-07-24 04:14:49"}
• {"files"=>["https://ndownloader.figshare.com/files/2189695"], "description"=>"<p>*4 children had both rheumatic heart disease and congenital heart disease.</p>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494170, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133004.g001", "stats"=>{"downloads"=>4, "page_views"=>149, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Patient_flow_according_to_STROBE_statement_/1494170", "title"=>"Patient flow according to STROBE statement.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-24 04:14:49"}
• {"files"=>["https://ndownloader.figshare.com/files/2189696"], "description"=>"<p>Light grey indicated possible RHD, grey indicates probable RHD, and dark grey indicates definite RHD according to the modified WHO classification. The association between RHD according to the modified WHO classification and the age groups was assessed using the χ² test (p = 0.010). The association between disease progression and age was evaluated using unweighted ordered logistic regression (p = 0.016) and weighted ordered logistic regression (p = 0.416).</p>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494171, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133004.g002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_WHO_stage_of_disease_according_to_age_categories_from_5_to_8_years_9_to_12_years_and_13_to_16_years_/1494171", "title"=>"WHO stage of disease according to age categories from 5 to 8 years, 9 to 12 years and 13 to 16 years.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-24 04:14:49"}
• {"files"=>["https://ndownloader.figshare.com/files/2189698"], "description"=>"<p>Socio-demographic characteristics.</p>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494173, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133004.t001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Socio_demographic_characteristics_/1494173", "title"=>"Socio-demographic characteristics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-24 04:14:49"}
• {"files"=>["https://ndownloader.figshare.com/files/2189699"], "description"=>"<p>*z-scores for weight and age are only available up to the age of 120 months.</p><p>Physical examination.</p>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494174, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133004.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Physical_examination_/1494174", "title"=>"Physical examination.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-24 04:14:49"}
• {"files"=>["https://ndownloader.figshare.com/files/2189700"], "description"=>"<p>MR = mitral regurgitation, MV = mitral valve, MS = mitral stenosis, AR = aortic regurgitation, AV = aortic valve.</p><p>Echocardiographic findings.</p>", "links"=>[], "tags"=>["World Health Organization", "Rheumatic Heart Disease", "heart disease", "RHD.Trial RegistrationClinicalTrials.gov identifier", "World Heart Federation", "address collateral findings", "echocardiographic screening", "WHF", "criteria", "iqr", "16 years", "nct"], "article_id"=>1494175, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Ernest Spitzer", "Jorge Mercado", "Fabian Islas", "Martina Rothenbühler", "Reto Kurmann", "Fabian Zürcher", "Peter Krähenmann", "Nassip Llerena", "Peter Jüni", "Pedro Torres", "Thomas Pilgrim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133004.t003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Echocardiographic_findings_/1494175", "title"=>"Echocardiographic findings.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-24 04:14:49"}

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• {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
• {"unique-ip"=>"2", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
• {"unique-ip"=>"7", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
• {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
• {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime