Evidence map›Paper›PMID 40467870›Full record

ArticleCommunications medicine2025

Development and validation of a scoring system to evaluate and clinically manage postoperative acute infarction complications in moyamoya disease.

Ziqi Liu, Xiaokuan Hao, Shihao He, Cunxin Tan, Yeru Wang, Kaiyu Shan, Xilong Wang, Zhenyu Zhou, Ming Lv, Ding Ma and 22 more

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In one paragraph

Article in Communications medicine, 2025. 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

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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

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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

32 authors.

Ziqi Liu *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaokuan Hao *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shihao He *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-2522-8656
Cunxin Tan *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yeru WangChina national center for food safety risk assessment, Beijing, China.
Kaiyu ShanWangxuan Institute of Computer Technology, Peking University, Beijing, China.
Xilong WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhenyu ZhouDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ming LvDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ding MaDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tao YuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qinglin LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yunqi JiaoDepartment of Neurosurgery, The Zhumadian city central Hospital, Zhumadian, Henan Province, China.
Yu WangShandong Provincial Linyi People's Hospital Department of Neurosurgery, Linyi, Shandong Province, China.
Haogeng SunDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Dongxu YangDepartment of Emergency Stroke, The Affiliated Hospital of Jining Medical University, Jining, Shandong Province, China.
Jun LiuThe Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
Hao ChenDepartment of Neurosurgery, Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, China.
Jinxi ZhaoDepartment of Neurosurgery, The Second Affiliate Hospital of the Kunming Medical University, Kunming, Yunnan Province, China.
Xin LouDepartment of Radiology, Chinese PLA General Hospital, Beijing, China.
Qiang GuoDepartment of Emergency Stroke, The Affiliated Hospital of Jining Medical University, Jining, Shandong Province, China.
Hua GuoThe Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
Yongbo YangDepartment of Neurosurgery, Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, China.
Jun PuDepartment of Neurosurgery, The Second Affiliate Hospital of the Kunming Medical University, Kunming, Yunnan Province, China.
Bing LiShandong Provincial Linyi People's Hospital Department of Neurosurgery, Linyi, Shandong Province, China.
Yi LiuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Yujie FanPeking University Health Science Center, Beijing, China.
Dong ZhangDepartment of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, China.
Ning MaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Li LiDepartment of Neurosurgery, The Zhumadian city central Hospital, Zhumadian, Henan Province, China.
Ran DuanDepartment of Neurosurgery, Peking University International Hospital, Beijing, China. duanranpkuih@126.com.
Rong WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. ronger090614@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-0669-9321

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82171887
6 · The paper itself

Abstract

backgroundRevascularization is the most widely used treatment for moyamoya disease (MMD) but is associated with relatively high incidence of ischaemic complications in adult patients. At present, the guidelines in various countries do not include effective recommendations regarding postoperative complications, and a simple, practical and reliable scoring system is needed for rapid clinical evaluation and decision-making.

methodsIn this prognostic study, we developed a prediction model based on a single-centre cohort and validated it in a multicentre external prospective cohort. All patients were followed for at least 30 days to confirm whether postoperative acute cerebral infarction occurred.

resultsAmong 2992 patients, 1980 patients are included in the derivation cohort, and 1012 patients compose the external validation cohort. Postoperative acute cerebral infarction occurs in 131 patients (6.62%) in the derivation cohort and 91 patients (8.99%) in the external validation cohort. Six risk factors are ultimately included in the development of the scoring system (CAMPIS). In the internal validation cohort, the Matthews correlation coefficient (MCC) and the concordance index (C-index) are 0.690 (0.681-0.698) and 0.956 (0.955-0.956), respectively. In the external validation cohort, the MCC and C-index are 0.762 (0.761-0.764) and 0.972 (0.971-0.973), respectively. In the derivation and validation cohorts, the postoperative infarction rates are 0.96% and 0.53%, 25.95% and 48.68%, and 84.71% and 89.47%, respectively, in the low-risk group, the medium-risk group, and the high-risk group.

conclusionsCAMPIS is a reliable and practical tool that can be used to facilitate decision-making and avoid potentially harmful interventions, serving as an effective complement to the existing guidelines in the assessment and control of postoperative ischaemic complications.

Identifiers

PMID40467870
PMCPMC12137809

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