ArticleBMC cardiovascular disorders2025
Clinical factors associated with severe coronary stenosis in patients undergoing cardiac surgery.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
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
14 authors.
Funding
Abstract
backgroundMany cardiovascular patients undergoing valve surgeries require coronary angiography (CAG). Positive results may lead to bypass surgery, while negative results require no treatment. Although informative, CAG is costly and exposes patients to significant radiation. This study aimed to develop a model to reduce unnecessary procedures.
methodsA retrospective cohort study was conducted on 5,086 patients who underwent valve repair/replacement or other cardiac surgeries at Zhongshan Hospital between 2016 and 2021 and received CAG. Patients treated between 2016 and 2020 formed the training set, while those treated in 2021 constituted the validation set. Severe coronary stenosis was defined as a ≥ 50% reduction in luminal diameter. Logistic regression analysis identified independent predictors in the training set, and a scoring system (Coronary Angiography Positivity Prediction Score) was constructed based on the β-coefficients of each variable. The model was evaluated for discrimination and calibration.
resultsAmong 4,049 patients, 536 (13.2%) had severe coronary stenosis. Independent predictors included age ≥ 60 years, male sex, hypertension, diabetes, hyperlipidemia, and left ventricular ejection fraction ≤ 58%. The scoring system ranged from 0 to 11 points and demonstrated good discrimination, with an area under the receiver operating characteristic curve of 0.715 (95% confidence interval: 0.694-0.740) in the training set. In the high-risk group (≥ 6 points), the probability of severe coronary stenosis was 23.1%, compared to 8% in the low-risk group (< 6 points). The scoring system also performed well in the validation set with the curve of 0.740 (95% CI, 0.695-0.784).
conclusionWe developed and validated a scoring system based on six clinical variables to predict severe coronary stenosis in patients undergoing valve surgeries. This tool may help optimize individual treatment strategies and reduce unnecessary CAG procedures.
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.