Evidence map›Paper›PMID 36656462›Full record

ArticleTranslational stroke research2023

Development and External Validation of Nomogram for Cerebral Infarction in Moyamoya Diseases.

Pan Chen, Ying Wang, Shifu Li, Dong Tang, Shuai Yang, Feiyue Zeng, Lebao Yu, Dong Zhang, Wei Ding, Shuihua Wu and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Translational stroke research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

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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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Pan ChenDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Ying WangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Shifu LiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Dong TangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Shuai YangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Feiyue ZengDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Lebao YuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Dong ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Wei DingDepartment of Neurosurgery, Hunan Children's Hospital, Changsha, 410007, China.
Shuihua WuDepartment of Neurosurgery, Hunan Children's Hospital, Changsha, 410007, China.
Fenghua ChenDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China.
Zheng HuangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China. hzter1985@163.com.ORCID http://orcid.org/0000-0003-0648-3499
Central South University · CNCapital Medical University · CNHunan Children's Hospital · CN

Funding

National Natural Science Foundation of China 82001274Natural Science Foundation of Hunan Province 2021JJ40994
6 · The paper itself

Abstract

More than 60% of moyamoya disease (MMD) patients suffers cerebral ischemia and preoperative cerebral infarction (CI) increases the risk of postoperative stroke and unfavorable outcome. We established a nomogram system for risk stratification of CI to help tailoring individualized management. We enrolled 380 patients including 680 hemispheres for the training cohort from our hospital and 183 patients including 348 hemispheres for the validation cohort from multicenter. A nomogram for CI was formulated based on the multivariable logistic regression analysis. The predictive accuracy and discriminative ability of nomogram were determined with concordance index (C-index) and calibration curve. For the training cohort, 246 hemispheres (36.2%) were found with CI. In multivariable logistic regression used generalized estimating equations approach, anterior choroidal artery (AchA) grade (grade 1, OR 0.214, 95%CI 0.124-0.372, P < 0.001; grade 2, OR 0.132, 95%CI 0.066-0.265, P < 0.001), cerebral perfusion (OR 4.796, 95%CI 2.922-7.872; P < 0.001), white matter hyperintensity (OR 3.652, 95%CI 1.933-6.902; P < 0.001), brush sign (OR 3.555, 95%CI 2.282-5.538; P < 0.001), and ivy sign (equivocal, OR 4.752, 95%CI 2.788-8.099, P < 0.001; present, OR 8.940, 95%CI 4.942-16.173, P < 0.001) were significant factors for CI. The C-index of the nomogram for predicting cerebral infarction was 0.890 (95%CI 0.866-0.915) in the training cohort and 0.847 (95%CI 0.805-0.889) in the validation cohort. The nomogram composed of AchA grade, cerebral perfusion, white matter hyperintensity, brush sign, and ivy sign could provide risk stratification of CI before surgery in patients with MMD. Active treatment might be recommended before CI, which could reduce the risk of stroke after surgery.

Indexed as

Moyamoya DiseaseStrokeCerebral InfarctionHumansNomogramsCerebral infarctionMoyamoya diseaseNomogram

Identifiers

PMID36656462
OpenAlexW4317475964

What OpenQuestion holds

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Registered trials

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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.