Evidence map›Paper›PMID 41768367›Full record

ArticleMedComm2026

Cerebral Venous Outflow Insufficiency: A Study on Symptoms and Venous Stenosis Classification.

Hui Li, Xiaojiao Guan, Lu Liu, Chunxiao Lu, Weiyue Zhang, Yifan Zhou, Huimin Jiang, Chenxia Zhou, Jian Dong, Xunming Ji and 1 more

Abstract read
In one paragraph

Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Hui LiDepartment of Neurology Xuanwu Hospital Capital Medical University Beijing China.
Xiaojiao GuanDepartment of Radiology China-Japan Friendship Hospital Beijing China.
Lu LiuDepartment of Neurology Xuanwu Hospital Capital Medical University Beijing China.
Chunxiao LuDepartment of Neurology Xuanwu Hospital Capital Medical University Beijing China.
Weiyue ZhangBeijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Biological Science and Medical Engineering Beihang University Beijing China.
Yifan ZhouBeijing Institute of Brain Disorders Laboratory of Brain Disorders Ministry of Science and Technology Collaborative Innovation Center for Brain Disorders, Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University Beijing China.
Huimin JiangBeijing Institute of Brain Disorders Laboratory of Brain Disorders Ministry of Science and Technology Collaborative Innovation Center for Brain Disorders, Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University Beijing China.
Chenxia ZhouDepartment of Neurology Xuanwu Hospital Capital Medical University Beijing China.
Jian DongNeuroscience Center Beijing Shijitan Hospital Capital Medical University Beijing China.
Xunming JiDepartment of Neurology Xuanwu Hospital Capital Medical University Beijing China.
Chen ZhouBeijing Institute of Brain Disorders Laboratory of Brain Disorders Ministry of Science and Technology Collaborative Innovation Center for Brain Disorders, Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral venous outflow insufficiency (CVOI) is a recently recognized cerebrovascular condition characterized by impaired venous drainage from the brain to the extracranial system. However, its clinical phenotypes and classification criteria remain poorly defined. In this single-center cross-sectional study, we analyzed 245 patients with CVOI using contrast-enhanced CT or MR venography to identify clinical features and propose a novel anatomical classification. We identified 10 major symptoms of cerebral venous congestion, with tinnitus cerebri, neck discomfort, and tinnitus being the most common. A new classification system was proposed based on lesion location and bilateral jugular foramen narrowing rate, categorizing CVOI into intracranial (CV), extracranial (JV), and tandem (CJV) types, each further stratified into four/five subtypes. Receiver operating characteristic (ROC) curve analysis showed that narrowing thresholds of 0.20 and 0.40 offered excellent discriminatory performance for subtype differentiation, with an area under the curve (AUC) approaching 1.0. Notably, tandem-type CVOI (CJV) was the most prevalent (56.7%) and exhibited distinct symptom patterns and pathogenesis. These findings provide a practical framework for diagnosing and stratifying CVOI and may inform individualized treatment strategies.

Indexed as

cerebral venous congestion symptomscerebral venous outflow insufficiencycerebral venous sinus stenosisinternal jugular venous stenosisneuroimaging features

Identifiers

PMID41768367
PMCPMC12946657

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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.