{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Mao Y"],"pubmed_abstract":["<h4>Background</h4>Cardiac rupture (CR) is a catastrophic complication of acute myocardial infarction (AMI), accounting for 10%-20% of AMI-related deaths despite its low incidence. Several risk prediction models have been developed, but their methodological quality and clinical applicability remain uncertain. This study systematically reviewed and quantitatively synthesized existing prediction models for CR post-AMI.<h4>Methods</h4>We searched PubMed, Embase, Web of Science, Cochrane Library, CNKI, and Wanfang databases from inception to August 2025. Studies developing or validating risk prediction models for CR after AMI were eligible. Data extraction followed the CHARMS checklist, and methodological quality was assessed with PROBAST. A meta-analysis was performed to pool model discrimina"],"journal":["Frontiers in cardiovascular medicine"],"pagination":["1721103"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12933645"],"repository":["biostudies-literature"],"pubmed_title":["Risk prediction models for cardiac rupture after acute myocardial infarction: a systematic review and meta-analysis."],"pmcid":["PMC12933645"],"pubmed_authors":["Fan H","Ouyang X","Liu Q","Wang X","Mao Y"],"additional_accession":[]},"is_claimable":false,"name":"Risk prediction models for cardiac rupture after acute myocardial infarction: a systematic review and meta-analysis.","description":"<h4>Background</h4>Cardiac rupture (CR) is a catastrophic complication of acute myocardial infarction (AMI), accounting for 10%-20% of AMI-related deaths despite its low incidence. Several risk prediction models have been developed, but their methodological quality and clinical applicability remain uncertain. This study systematically reviewed and quantitatively synthesized existing prediction models for CR post-AMI.<h4>Methods</h4>We searched PubMed, Embase, Web of Science, Cochrane Library, CNKI, and Wanfang databases from inception to August 2025. Studies developing or validating risk prediction models for CR after AMI were eligible. Data extraction followed the CHARMS checklist, and methodological quality was assessed with PROBAST. A meta-analysis was performed to pool model discrimina","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026","modification":"2026-07-16T22:13:16.486Z","creation":"2026-07-12T03:07:26.326Z"},"accession":"S-EPMC12933645","cross_references":{"pubmed":["41756508"],"doi":["10.3389/fcvm.2026.1721103"]}}