Evidence map›Paper›PMID 41247329›Full record

ArticleJACC. Case reports2026

Computational Fluid Dynamics in Predicting Renal Malperfusion After Aortic Dissection Repair.

Chengwei Yang, Shujing Shao, Xiaochang Leng, Weiwei Qi, Ying Chen, Lianjun Huang, Lei Xu, Yuanming Luo

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chengwei YangDepartment of Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing, China; Department of Imaging and Interventional Radiology, DeltaHealth Hospital Shanghai, Shanghai, China.
Shujing ShaoDepartment of Technology, Boea Wisdom (Hangzhou) Network Technology Co, Ltd, Hangzhou, China.
Xiaochang LengDepartment of Technology, Boea Wisdom (Hangzhou) Network Technology Co, Ltd, Hangzhou, China.
Weiwei QiDepartment of Imaging and Interventional Radiology, DeltaHealth Hospital Shanghai, Shanghai, China.
Ying ChenDepartment of Imaging and Interventional Radiology, DeltaHealth Hospital Shanghai, Shanghai, China.
Lianjun HuangDepartment of Imaging and Interventional Radiology, DeltaHealth Hospital Shanghai, Shanghai, China.
Lei XuDepartment of Imaging, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. Electronic address: Leixu2001@hotmail.com.
Yuanming LuoDepartment of Mechanical Engineering, The University of Iowa, Iowa City, Iowa, USA. Electronic address: yuanming-luo@uiowa.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal atrophy following aortic repair is difficult to be identified through renal function biochemical measures due to compensation. Computational fluid dynamics (CFD) analysis is a promising approach for identifying anomalies of renal blood supply, which is related to renal atrophy. CASE SUMMARY: This study reports 3 patients who underwent renal atrophy after aortic repair during follow-up. The hemodynamics of renal arteries in each case was analyzed through employing the CFD method. The pressure ratio (PR; renal artery-to-aorta) measurements revealed significantly lower values on the atrophic side of the renal artery when comparing to the nonatrophic side. DISCUSSION: PR is promising to serve as an early quantitative indicator, with persistent depression prior to obvious morphological atrophy. Serial CFD-based PR assessments show promise in predicting the risk of renal atrophy and facilitating earlier intervention. TAKE-HOME MESSAGE: Patient-specific CFD simulations based on computed tomography angiography offer hemodynamic profiling to detect perfusion compromise in the preclinical phases.

Indexed as

aortic dissectioncomputational fluid dynamicsrenal malperfusion

Identifiers

PMID41247329
PMCPMC12926182

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.