ArticleScientific reports2025
Development and validation of a risk score for predicting 30-day mortality in patients with ST elevation myocardial infarction.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02641262 (Henan ST-segment Elevation Myocardial Infarction), which is not on this map. Cited by 1 paper.
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.
Henan ST-segment Elevation Myocardial Infarction (STEMI) Registry
Who cites it
1 citing paper in PubMed.
- A machine learning model for early risk stratification of 28-day mortality after myocardial infarction.European heart journal. Digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The existing risk sores for ST-elevation myocardial infarction (STEMI) patients cannot balance timeliness, feasibility, and accuracy. This study aimed to develop and validate a two-stage scoring system capable of dynamic evaluation for 30-day mortality among STEMI patients. We recruited 3939 patients and randomly assigned (7:3) to derivation (N = 2757) and internal validation (N = 1182) datasets, an independent cohort of 1315 STEMI patients was used for external validation. The two-stage scoring system was developed based on factors associated with 30-day mortality identified by multivariate analysis and their availability in course of management. The first medical contact (FMC) stage risk score comprised six predictors (age, gender, systolic blood pressure, heart rate, Killip class, and anterior myocardial infarction), the in-hospital risk score included serum creatinine and left ventricular ejection fraction on this basis. The area under the curve (AUC) were 0.816, 0.854, 0.843, and 0.876 in derivation and internal validation for FMC and in-hospital stage risk score with satisfactory calibration ability. FMC stage risk score displayed equivalent predictive ability with TIMI risk score and GRACE score, in-hospital stage risk score obtained promotion in AUC, integrated discrimination improvement, and net reclassification improvement (all P < 0.001) compared with the classic risk scores. The reproducibility and effectiveness of the risk scores were statistically confirmed in the external validation cohort. The two-stage scoring system had good ability for predicting 30-day mortality and useful to dynamically identify high-risk STEMI patients.Trial registration: [NCT02641262] [29 December 2015].
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.