ArticleJournal of thoracic disease2026
Development and internal validation of a computed tomography angiography‑based prediction model for acute rupture in type A aortic dissection.
Article in Journal of thoracic disease, 2026. 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: While emergency surgery for acute type A aortic dissection (TAAD) is lifesaving, real-world delays occur. Current risk stratification lacks objective imaging criteria. We aimed to develop a computed tomography angiography (CTA)-based model to predict imminent rupture risk in TAAD. Methods: This retrospective study included 121 consecutive patients with TAAD, diagnosed at Beijing Anzhen Hospital between January 2024 and March 2025. Patients were classified into acute rupture (n=46, 38%) and non-acute (n=75, 62%) groups. The primary endpoint was acute rupture-related death within 14 days of symptom onset, rigorously defined by CTA evidence and/or clinical findings. Clinical and imaging variables were screened using univariable logistic regression, followed by least absolute shrinkage and selection operator (LASSO) regression. Predictive performance was evaluated using receiver operating characteristic (ROC) curves, bootstrap validation, calibration, and decision curve analysis (DCA). Results: The overall acute rupture rate was 38% (46/121). The median age of the cohort was 56 years; 72% were men. Univariable analysis showed that rupture patients had higher inflammatory and ischemic marker levels and were more likely to present with circumferential dissection, aortic sinus entry tear, pericardial effusion, entry tear diameter >20 mm, and ascending aorta diameter >50 mm (all P<0.05). LASSO regression identified aortic sinus entry tear [odds ratio (OR) =23.60; 95% confidence interval (CI): 2.27-245.58; P=0.008] and circumferential aortic dissection (OR =8.27; 95% CI: 1.06-64.65; P=0.044) as independent predictors. The combined ROC curve yielded an area under the curve (AUC) of 0.872 (95% CI: 0.803-0.941) with good calibration and net clinical benefit on DCA. Conclusions: We developed and validated a parsimonious CTA-based prediction model with robust performance for identifying TAAD patients at the highest risk of acute rupture. This tool may aid in urgent triage and reinforce the imperative for expedited surgical intervention when these high-risk imaging features are present.
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.