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{"title"=>"Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use", "type"=>"journal", "authors"=>[{"first_name"=>"Thomas P.A.", "last_name"=>"Debray", "scopus_author_id"=>"54879335700"}, {"first_name"=>"Richard D.", "last_name"=>"Riley", "scopus_author_id"=>"7201915531"}, {"first_name"=>"Maroeska M.", "last_name"=>"Rovers", "scopus_author_id"=>"7003571463"}, {"first_name"=>"Johannes B.", "last_name"=>"Reitsma", "scopus_author_id"=>"7004204084"}, {"first_name"=>"Karel G.M.", "last_name"=>"Moons", "scopus_author_id"=>"7004546169"}], "year"=>2015, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491676", "scopus"=>"2-s2.0-84946072388", "pmid"=>"26461078", "doi"=>"10.1371/journal.pmed.1001886", "pui"=>"606752682", "isbn"=>"1549-1277", "sgr"=>"84946072388"}, "id"=>"d39d6cd0-2734-3089-ad68-1cc57451f7df", "abstract"=>"The article discusses the guidance for the conduct of the individual participant data meta-analyses (IPD-MA) of the prediction modeling studies. Topics discussed include the unique opportunities provided by IPD-MA for therapeutic studies, the reliance of prediction models on multiple predictors, and the focus of most articles on the estimation of relative quantities.", "link"=>"http://www.mendeley.com/research/individual-participant-data-ipd-metaanalyses-diagnostic-prognostic-modeling-studies-guidance", "reader_count"=>20, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Student > Doctoral Student"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Student > Doctoral Student"=>2, "Researcher"=>7, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>5, "Mathematics"=>4, "Medicine and Dentistry"=>9, "Psychology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Psychology"=>{"Psychology"=>1}, "Mathematics"=>{"Mathematics"=>4}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>2}

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• http://doi.org/10.1016/j.injury.2018.12.031
• http://doi.org/10.1177/0962280217705678
• http://doi.org/10.1136/bmj.l2154
• http://doi.org/10.1186/s41512-018-0032-7
• http://doi.org/10.1136/bmjopen-2017-016844
• http://doi.org/10.1016/S1474-4422(18)30089-9
• http://doi.org/10.1186/s12916-018-1013-y
• http://doi.org/10.3310/hta22660
• http://doi.org/10.1111/cea.13336
• http://doi.org/10.1200/JCO.2016.70.3413
• http://doi.org/10.1080/20008198.2018.1476442
• http://doi.org/10.3389/fpsyt.2019.00345
• http://doi.org/10.1016/j.jaip.2018.02.004
• http://doi.org/10.1038/s41598-018-24778-1

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• {"id"=>"654031231907164164", "text"=>"#PLOSMedicine: Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: ... http://t.co/otRc9w8g6O", "created_at"=>"2015-10-13T20:29:31Z", "user"=>"PLOSMedicine", "user_name"=>"PLOS Medicine", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2436335697/k93oob5au2gllc775hk5_normal.jpeg"}
• {"id"=>"654043866937450496", "text"=>"RT @PLOSMedicine: #PLOSMedicine: Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: ... http://…", "created_at"=>"2015-10-13T21:19:44Z", "user"=>"WonderMixTape", "user_name"=>"Shannon McWeeney", "user_profile_image"=>"http://pbs.twimg.com/profile_images/463066959660064769/7rmVSUFB_normal.jpeg"}
• {"id"=>"654058547760775169", "text"=>"Top story: PLOS Medicine: Individual Participant Data (IPD) Meta-analyses of Di… http://t.co/BAoo17QiqK, see more http://t.co/igKzACSLyu", "created_at"=>"2015-10-13T22:18:04Z", "user"=>"ATP_CME", "user_name"=>"ATP EGYPT", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1337289872/DSCF1510_normal.JPG"}
• {"id"=>"654069119562616832", "text"=>"RT @PLOSMedicine: #PLOSMedicine: Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: ... http://…", "created_at"=>"2015-10-13T23:00:04Z", "user"=>"PLOS", "user_name"=>"PLOS", "user_profile_image"=>"http://pbs.twimg.com/profile_images/553318804122370048/0HTyc2Ot_normal.jpeg"}
• {"id"=>"654072763993321472", "text"=>"RT @PLOSMedicine: #PLOSMedicine: Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: ... http://…", "created_at"=>"2015-10-13T23:14:33Z", "user"=>"DeanRegier", "user_name"=>"Dean Regier", "user_profile_image"=>"http://pbs.twimg.com/profile_images/423623526537379840/0_Ev7tfk_normal.jpeg"}
• {"id"=>"654076729754054656", "text"=>"RT @PLOSMedicine: #PLOSMedicine: Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: ... http://…", "created_at"=>"2015-10-13T23:30:19Z", "user"=>"hildabast", "user_name"=>"Hilda Bastian", "user_profile_image"=>"http://pbs.twimg.com/profile_images/549312327929970688/_X4rfbq9_normal.jpeg"}
• {"id"=>"654109922649579520", "text"=>"From my #Open list: PLOS Medicine: Individual Participant Data (IPD) Meta-analy… http://t.co/rD3Af9Rz7S, see more http://t.co/YOW49pBcdz", "created_at"=>"2015-10-14T01:42:12Z", "user"=>"akwala", "user_name"=>"a k'wala", "user_profile_image"=>"http://pbs.twimg.com/profile_images/517899724301418497/XFKBSdKq_normal.png"}
• {"id"=>"654191066032283648", "text"=>"\"Individual Participant Data Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use\" http://t.co/PYbfvvhBwb", "created_at"=>"2015-10-14T07:04:39Z", "user"=>"chlalanne", "user_name"=>"Christophe Lalanne", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1135754268/chl2bgv2_normal.png"}
• {"id"=>"654191218793037824", "text"=>"RT @chlalanne: \"Individual Participant Data Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use\" http://t.co…", "created_at"=>"2015-10-14T07:05:15Z", "user"=>"dutchlight360", "user_name"=>"Gerald van Leeuwen", "user_profile_image"=>"http://pbs.twimg.com/profile_images/509352548549935105/vUQcEAtE_normal.jpeg"}
• {"id"=>"654279678874812416", "text"=>"RT @PLOSMedicine: #PLOSMedicine: Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: ... http://…", "created_at"=>"2015-10-14T12:56:46Z", "user"=>"crd_york", "user_name"=>"CRD", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3694255153/6e29e25d97678dc1507a8096d10a4b1e_normal.jpeg"}
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Wikipedia | Further Information

• {"title"=>"Individual participant data", "url"=>"http://en.wikipedia.org/wiki/Individual_participant_data", "timestamp"=>"2018-01-18T03:43:22Z"}
• {"title"=>"Meta-analysis", "url"=>"http://en.wikipedia.org/wiki/Meta-analysis", "timestamp"=>"2019-02-09T16:26:28Z"}

Counter

• {"month"=>"10", "year"=>"2015", "pdf_views"=>"117", "xml_views"=>"5", "html_views"=>"1919"}
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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/2357371"], "description"=>"<p>Number of publications per year focusing on diagnostic, prognostic, or either type of IPD-MA. Results were identified by applying the search strategy of Riley et al. [<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001886#pmed.1001886.ref014\" target=\"_blank\">14</a>] in PubMed on March 24, 2015. A sensitive filter was applied to identify those publications explicitly mentioning the study aim (diagnosis, prognosis, or prediction) in the title.</p>", "links"=>[], "tags"=>["Individual Participant Data", "ipd", "Prognostic Modeling Studies", "diagnostic", "guidance"], "article_id"=>1573520, "categories"=>["Uncategorised"], "users"=>["Thomas P. A. Debray", "Richard D. Riley", "Maroeska M. Rovers", "Johannes B. Reitsma", "Karel G. M. Moons"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001886.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Trends_in_publications_of_IPD_MA_studies_focusing_on_the_development_and_or_validation_of_diagnostic_or_prognostic_prediction_models_/1573520", "title"=>"Trends in publications of IPD-MA studies focusing on the development and/or validation of diagnostic or prognostic prediction models.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-13 03:10:26"}
• {"files"=>["https://ndownloader.figshare.com/files/2357372"], "description"=>"<p>Abbreviations: CHARMS, Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies</p><p>The main differences between IPD-MA of treatment intervention studies and of multivariable prediction modeling studies.</p>", "links"=>[], "tags"=>["Individual Participant Data", "ipd", "Prognostic Modeling Studies", "diagnostic", "guidance"], "article_id"=>1573521, "categories"=>["Uncategorised"], "users"=>["Thomas P. A. Debray", "Richard D. Riley", "Maroeska M. Rovers", "Johannes B. Reitsma", "Karel G. M. Moons"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001886.t001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_main_differences_between_IPD_MA_of_treatment_intervention_studies_and_of_multivariable_prediction_modeling_studies_/1573521", "title"=>"The main differences between IPD-MA of treatment intervention studies and of multivariable prediction modeling studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-10-13 03:10:26"}
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PMC Usage Stats | Further Information

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• {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
• {"unique-ip"=>"17", "full-text"=>"20", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
• {"unique-ip"=>"19", "full-text"=>"19", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
• {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
• {"unique-ip"=>"11", "full-text"=>"8", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
• {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
• {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
• {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
• {"unique-ip"=>"11", "full-text"=>"14", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
• {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
• {"unique-ip"=>"12", "full-text"=>"16", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
• {"unique-ip"=>"18", "full-text"=>"49", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
• {"unique-ip"=>"18", "full-text"=>"52", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
• {"unique-ip"=>"24", "full-text"=>"31", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"10"}
• {"unique-ip"=>"23", "full-text"=>"28", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
• {"unique-ip"=>"13", "full-text"=>"20", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
• {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
• {"unique-ip"=>"17", "full-text"=>"16", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
• {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
• {"unique-ip"=>"18", "full-text"=>"18", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
• {"unique-ip"=>"16", "full-text"=>"19", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
• {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
• {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
• {"unique-ip"=>"17", "full-text"=>"18", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
• {"unique-ip"=>"75", "full-text"=>"85", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2018", "month"=>"9"}
• {"unique-ip"=>"16", "full-text"=>"20", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
• {"unique-ip"=>"15", "full-text"=>"19", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
• {"unique-ip"=>"10", "full-text"=>"12", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
• {"unique-ip"=>"19", "full-text"=>"21", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
• {"unique-ip"=>"19", "full-text"=>"24", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
• {"unique-ip"=>"27", "full-text"=>"26", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
• {"unique-ip"=>"34", "full-text"=>"38", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

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

F1000Prime