Evidence map›Paper›PMID 40676132›Full record

ArticleScientific reports2025

Development and validation of nomograms for aneurysm rupture risk and prognosis in Moyamoya disease with intracranial aneurysms.

Chenchao Wang, Lei Cao, Kaiwen Sun, Yang Dong, Hao Wang, Dongpeng Li, Chengbin Zhao, Manxia Zhang, Hongwei Li, Bo Yang

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Chenchao WangThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lei CaoThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kaiwen SunThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yang DongThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hao WangThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Dongpeng LiThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chengbin ZhaoThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Manxia ZhangThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongwei LiThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. hongwei706@126.com.
Bo YangThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. yangbo96@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to develop and validate nomograms for predicting the risk of aneurysm rupture and adverse prognosis in patients with Moyamoya disease (MMD) and associated intracranial aneurysms (IAs). We analyzed 286 saccular and 22 non-saccular IAs from 231 MMD patients. We used logistic regression to identify risk factors for IA rupture and Cox regression to find factors associated with prognosis. Nomograms were constructed using R 4.3.3 software based on these risk factors and validated via receiver operating characteristic (ROC) curves, calibration curves, and clinical decision curves. Among 3293 MMD patients, 231 (7.01%) harbored IAs. Saccular IAs had a higher rupture rate (24.2%) compared to non-saccular IAs (13.64%). Independent risk factors for rupture in non-saccular IAs included the presence of a daughter sac, whereas the location, flow angle, and aspect ratiowere risk factors for saccular IA rupture. Prognostic factors included rerupture and modified Fisher scale. The constructed nomograms demonstrated robust predictive performance in the validation cohort. Our nomograms effectively predict the risk of rupture in saccular IAsand poor prognosis in MMD patients with IAs, offering valuable tools for clinical decision-making.

Indexed as

Aneurysm, RupturedIntracranial AneurysmMoyamoya DiseaseNomogramsAdolescentAdultFemaleHumansMaleMiddle AgedPrognosisRisk FactorsROC CurveYoung AdultIntracranial aneurysmMoyamoya diseaseNomogramPrognosisRupture

Identifiers

PMID40676132
PMCPMC12271559

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