Evidence map›Paper›PMID 38749536›Full record

ArticleStroke and vascular neurology2025

Prevalence, genetic and clinical characteristics in first-degree relatives of patients with familial cerebral cavernous malformations in China.

Chunwang Li, Lingyun Zhuo, Yaqing Kang, Penghui Liu, Weilin Huang, Qixuan Li, Ke Ma, Shuna Huang, Xinru Lin, Weiheng Zhuang and 15 more

Abstract read
In one paragraph

Article in Stroke and vascular neurology, 2025. 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
–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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
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

25 authors.

Chunwang Li *Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Lingyun Zhuo *Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Yaqing Kang *Department of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Penghui LiuDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Weilin HuangDepartment of Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Qixuan LiDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Ke MaClinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Shuna HuangClinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Xinru LinClinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Weiheng ZhuangDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Haojie WangDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Darong ChenDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Huimin WangDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Qiu HeDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Zhuyu GaoDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.ORCID 0009-0000-9511-6126
Xuegang NiuDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Yajun JingDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.ORCID 0000-0002-1291-4104
Lingjun YanFujian Provincial Institutes of Brain Disorders and Brain Sciences, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Bin GaoFujian Provincial Institutes of Brain Disorders and Brain Sciences, First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Dengliang WangDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China.
Shaowei LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian, China.
Siying WuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian, China.
Yuanxiang LinDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China lyx99070@126.com kdz99988@vip.sina.com lfxstudy@126.com.
Dezhi KangDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China lyx99070@126.com kdz99988@vip.sina.com lfxstudy@126.com.ORCID 0000-0002-0906-9456
Fuxin LinDepartment of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China lyx99070@126.com kdz99988@vip.sina.com lfxstudy@126.com.ORCID 0000-0001-5803-2644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate the prevalence of familial cerebral cavernous malformations (FCCMs) in first-degree relatives (FDRs) using familial screening, to describe the distribution of initial symptoms, lesion count on cranial MRI and pathogenic gene in patients.

methodsPatients with multiple CCMs who enrolled from the Treatments and Outcomes of Untreated Cerebral Cavernous Malformations in China database were considered as probands and FDRs were recruited. Cranial MRI was performed to screen the CCMs lesions, and whole-exome sequencing was performed to identify CCM mutations. MRI and genetic screening were combined to diagnose FCCM in FDRs, and the results were presented as prevalence and 95% CIs. The Kaplan-Meier (KM) method was used to calculate the cumulative incidence of FCCM.

results33 (76.74%) of the 43 families (110 FDRs) were identified as FCCM (85 FDRs). Receiver operating characteristic analysis revealed three lesions on T2-weighted imaging (T2WI) were the strong indicator for distinguishing probands with FCCM (sensitivity, 87.10%; specificity, 87.50%). Of the 85 FDRs, 31 were diagnosed with FCCM, resulting in a prevalence of 36.5% (26.2%-46.7%). In families with FCCMs, the mutation rates for

conclusionBased on MRI and genetic analysis, the prevalence of CCMs in the FDRs of families with FCCMs in China was 36.5%. Genetic counselling and MRI screening are recommended for FDRs in patients with more than three CCM lesions on T2WI.

Indexed as

Hemangioma, Cavernous, Central Nervous SystemMutationAdolescentAdultApoptosis Regulatory ProteinsCarrier ProteinsChinaDatabases, FactualDNA Mutational AnalysisExome SequencingFemaleGenetic Predisposition to DiseaseGenetic TestingHeredityHumansKRIT1 ProteinApoptosis Regulatory ProteinsCarrier ProteinsCCM2 protein, humanKRIT1 ProteinKRIT1 protein, humanMembrane ProteinsPDCD10 protein, humanProto-Oncogene ProteinsGenetics

Identifiers

PMID38749536
PMCPMC11877442

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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.