ArticleJournal of biomedical research2025
Using higher cut-off values to diagnose acute myocardial infarction in patients with elevated hs-cTnT.
Article in Journal of biomedical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Single-Cell Transcriptomics Reveals Dynamic Cellular Interactions and Molecular Mechanisms in Myocardial Infarction Recovery.International journal of genomics · 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
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is often challenging to diagnose acute myocardial infarction (AMI) in patients with elevated high-sensitivity cardiac troponin T (hs-cTnT) before a significant rise and/or fall of hs-cTnT can be observed. This study aimed to find an optimal cut-off to rule in AMI. A total of 76411 patients with elevated hs-cTnT were included. The predictive cut-off values for diagnosing ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) were assessed by the area under the receiver operating characteristic curves (AUC). Among the patients, 50466 (66.0%) had non-cardiac diseases, 25945 (34.0%) had cardiac diseases, and 15502 (20.3%) had AMI, including 816 (1.1%) with STEMI and 14686 (19.2%) with NSTEMI. The median hs-cTnT level was 3788.0 ng/L in STEMI patients and 67.2 ng/L in NSTEMI patients. The optimal cut-off for diagnosing STEMI was 251.9 ng/L, with a sensitivity of 90.7%, specificity of 86.5%, and an AUC of 0.942; the optimal cut-off for diagnosing NSTEMI was 130.5 ng/L, with a sensitivity of 40.9%, specificity of 83.8%, and an AUC of 0.638. In patients with elevated hs-cTnT, optimizing the cut-off values for diagnosing STEMI and NSTEMI to 251.9 ng/L and 130.5 ng/L, respectively, demonstrated high accuracy in a large cohort of Chinese patients.
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.