ArticleReviews in cardiovascular medicine2025
Construction and Clinical Relevance of a Predictive Model of Coronary Microcirculatory Dysfunction in Patients With Acute Myocardial Infarction Following Percutaneous Coronary Intervention.
Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06062316 (Early Warning Model of Myocardial Remodeling After Acute Myocardial Infarction Based on Multimodal Feature Structure Technology), which is not on this map. Not yet cited in PubMed.
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.
Early Warning Model of Myocardial Remodeling After Acute Myocardial Infarction Based on Multimodal Feature Structure Technology
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Coronary microcirculatory dysfunction (CMD) after percutaneous coronary intervention (PCI) in patients suffering from acute myocardial infarction (AMI) may adversely affect prognosis. The objective of this study was to assess the postoperative microcirculatory status and to construct a predictive model for CMD. Methods: This study is a retrospective analysis of 187 AMI patients who underwent PCI at Xuanwu Hospital. Patients were divided into two cohorts based on postoperative angiography-derived microcirculatory resistance (AMR) values: a non-CMD group (AMR <250 mmHg*s/m, n = 93) and a CMD group (AMR ≥250 mmHg*s/m, n = 76). Clinical and laboratory data were extracted, predictive models were constructed and risk factors associated with CMD were identified through the implementation of LASSO regression analyses. Results: The non-CMD group (n = 93) had a significantly lower body mass index (BMI) (25.40 ± 2.84) and a higher proportion of males (91.4%) compared to the non-CMD group (n = 76) (BMI: 26.64 ± 3.74, Conclusion: The predictive model developed in this study effectively identifies the risk of microcirculatory dysfunction in AMI patients after PCI, providing important insights for clinical decision-making. Future research should further validate the external applicability of this model and explore its potential in clinical practice. Clinical Trial Registration: NCT06062316, https://clinicaltrials.gov/study/NCT06062316?term=NCT06062316&rank=1, registration time: December 21, 2023.
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.