Objective: This meta-analysis aimed to reveal the prevalence and prognosis of heart failure in myocardial patients. This study further sought to explore the role of treatment in determining outcomes.
Materials and methods: This systematic analysis was performed on the principles of the pre-designed protocol of meta-analysis and systematic reviews statement. Online search articles were accessed for analysis. Studies from January 2012 to August 2020 were considered to identify the prognosis and prevalence of acute heart failure and myocardial infarction. Cochran's Q-test and I2-test were used to measure heterogeneity across the studies. Meta-regression was also performed to identify the potential source of heterogeneity.
Results: For the final analysis, 30 studies were included. No significant publication bias was reported on the funnel plot. However, a 0.462 value was reported for short-term mortality, whereas 0.274 was reported for the long term while performing Egger's tests. Meanwhile, the Begg test showed a value of 0.274 for publication bias. However, an asymmetrical funnel plot suggested potential publication bias.
Conclusions: After adjustment of clinical and cardiovascular baseline, significant results related to the impact of sex differences on mortality could be obtained. Disease prognosis may be affected by co-morbidities, especially diabetes Mellitus, kidney disease, hypertension, and COPD worsening the situation of patients.