ArticleClinical cardiology2021
Development of an optimized risk score to predict short-term death among acute myocardial infarction patients in rural China.
Article in Clinical cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 11 citations in OpenAlex.
- Neurosurgical management of geriatric patients with traumatic brain injury in a medium-developed Chinese city: a recent-years overview.Frontiers in neurology · 2025Article
- Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction.Journal of cardiovascular development and disease · 2022Article
- Article
- Simplified acute physiology score III is excellent for predicting in-hospital mortality in coronary care unit patients with acute myocardial infarction: A retrospective study.Frontiers in cardiovascular medicine · 2022Article
- Reply to the Letter to the Editor Entitled "Optimal risk stratification and therapeutic strategy for acute myocardial infarction".Clinical cardiology · 2021Article
- Optimal risk stratification and therapeutic strategy for acute myocardial infarction.Clinical cardiology · 2021Article
- Development of an optimized risk score to predict short-term death among acute myocardial infarction patients in rural China.Clinical cardiology · 2021Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundRisk stratification of patients with acute myocardial infarction (AMI) is of great clinical significance. HYPOTHESIS: The present study aimed to establish an optimized risk score to predict short-term (6-month) death among rural AMI patients from China.
methodsWe enrolled 6581 AMI patients and extracted relevant data. Patients were divided chronologically into a derivation cohort (n = 5539), to establish the multivariable risk prediction model, and a validation cohort (n = 1042), to validate the risk score.
resultsSix variables were identified as independent predictors of short-term death and were used to establish the risk score: age, Killip class, blood glucose, creatinine, pulmonary artery systolic pressure, and percutaneous coronary intervention treatment. The area under the ROC curve (AUC) of the optimized risk score was 0.82 within the derivation cohort and 0.81 within the validation cohort. The diagnostic performance of the optimized risk score was superior to that of the GRACE risk score (AUC 0.76 and 0.75 in the derivation and validation cohorts, respectively; p < .05).
conclusionThese results indicate that the optimized scoring method developed here is a simple and valuable instrument to accurately predict the risk of short-term mortality in rural patients with AMI.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.