<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9</volume><submitter>Ismail SR</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The cultural and genetic diversity of the Southeast Asian population has contributed to distinct cardiovascular disease risks, incidence, and prognosis compared to the Western population, thereby raising concerns about the accuracy of predicted risks of existing prognostic models.&lt;h4>Objectives&lt;/h4>We aimed to evaluate the predictive performances of validated, recalibrated, and developed prognostic risk prediction tools used in the Southeast Asian population with acute myocardial infarction (AMI) events for secondary events.&lt;h4>Methods&lt;/h4>We searched MEDLINE and Cochrane Central databases until March 2022. We included prospective and retrospective cohort studies that exclusively evaluated populations in the Southeast Asian region with a confirmed diagnosis of an AMI eve</pubmed_abstract><journal>Frontiers in cardiovascular medicine</journal><pagination>921044</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9360484</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Systematic review and meta-analysis of prognostic models in Southeast Asian populations with acute myocardial infarction.</pubmed_title><pmcid>PMC9360484</pmcid><pubmed_authors>Khalil MKN</pubmed_authors><pubmed_authors>Mohamad MSF</pubmed_authors><pubmed_authors>Azhar Shah S</pubmed_authors><pubmed_authors>Ismail SR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Systematic review and meta-analysis of prognostic models in Southeast Asian populations with acute myocardial infarction.</name><description>&lt;h4>Background&lt;/h4>The cultural and genetic diversity of the Southeast Asian population has contributed to distinct cardiovascular disease risks, incidence, and prognosis compared to the Western population, thereby raising concerns about the accuracy of predicted risks of existing prognostic models.&lt;h4>Objectives&lt;/h4>We aimed to evaluate the predictive performances of validated, recalibrated, and developed prognostic risk prediction tools used in the Southeast Asian population with acute myocardial infarction (AMI) events for secondary events.&lt;h4>Methods&lt;/h4>We searched MEDLINE and Cochrane Central databases until March 2022. We included prospective and retrospective cohort studies that exclusively evaluated populations in the Southeast Asian region with a confirmed diagnosis of an AMI eve</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-05T08:56:11.528Z</modification><creation>2025-04-05T08:56:11.528Z</creation></dates><accession>S-EPMC9360484</accession><cross_references><pubmed>35958391</pubmed><doi>10.3389/fcvm.2022.921044</doi></cross_references></HashMap>