ReviewCureus2024
In-Hospital Mortality in Patients With Acute Myocardial Infarction: A Literature Overview.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Human biomarker navigator.iMeta · 2026Review
- Pharmacokinetics and Exploratory Exposure-Response Analysis of Chikusetsusaponin IVa in Myocardial Ischemia/Reperfusion-Injured Rats.Pharmaceuticals (Basel, Switzerland) · 2026Article
- PFKFB3 exacerbates myocardial injury by accelerating CXCR4hi neutrophil mobilization after acute myocardial infarction.PloS one · 2026Article
- A FRET Aptasensor Based on N-CQDs for Detection of Cardiac Troponin I in Acute Myocardial Infarction Diagnosis.International journal of nanomedicine · 2026Article
- Gastrointestinal metabolites: a potential bridge connecting gut microbiota and myocardial metabolic reprogramming in acute myocardial infarction.Frontiers in physiology · 2026Article
- Development and validation of a nomogram for predicting prolonged intensive care unit stay in patients with acute myocardial infarction and analysis of associated hospitalization costs.Frontiers in cardiovascular medicine · 2026Article
- Oxycodone: A Pain-Relieving Agent With Cardioprotective Properties Against Myocardial Ischemia-Reperfusion Injury.Cardiovascular therapeutics · 2026Review
- Integrated oral microbiome and metabolome analysis unveils key biomarkers and functional pathway alterations in patients with acute myocardial infarction.Frontiers in cellular and infection microbiology · 2025Article
- Prognostic value of the neutrophil percentage-to-albumin ratio for mortality in ICU patients with myocardial infarction: a retrospective cohort and machine learning analysis.Frontiers in cardiovascular medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute myocardial infarction (AMI) continues to be a predominant cause of global morbidity and mortality, with in-hospital mortality (IHM) serving as a pivotal metric for patient outcomes. This review explores the influence of several clinical variables on IHM in individuals with AMI. Factors such as age, gender, body mass index (BMI), smoking habits, existing comorbidities, prior coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), and biomarkers, including high-sensitivity cardiac troponin T (hs-cTnT) and creatine kinase MB (CK-MB), significantly affect the prognosis of the patient. Advanced age and comorbid conditions such as diabetes and hypertension exacerbate myocardial damage and systemic impacts, thus increasing IHM. Gender and BMI are also critical, and women and patients with obesity face different risks. Smoking increases both the risk of AMI and IHM, underscoring the importance of cessation interventions. ST-elevation myocardial infarction is associated with elevated IHM and requires immediate reperfusion therapy, while non-ST-elevation myocardial infarction requires customized management for risk assessment. Previous CABG and PCI add complexity to AMI treatment and elevate IHM due to pre-existing coronary pathology and the intricacies of the procedures involved. The application of biomarker-centered techniques facilitates the swift identification of individuals at elevated risk, improves therapeutic planning, and reduces IHM for patients with AMI. Understanding and incorporating these clinical determinants are essential to optimize the management of AMI, minimize IHM, and improve patient outcomes. This all-encompassing strategy requires ongoing research, quality improvement efforts, and personalized care approaches.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.