Evidence map›Paper›PMID 42265449›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Extracranial vascular association of moyamoya disease: a systematic review and machine learning analysis.

Ritwick Mondal, Shramana Deb, Nirmalya Ray, Ananya Sengupta, Purbita Sen, Debarati Barma, Jayanta Roy, Anjan Chowdhury, Julián Benito-León

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 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
0cells of the map it votes in
0citing 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

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

9 authors.

Ritwick MondalDepartment of Neurology, Manipal Group of Hospitals, Kolkata, India.ORCID http://orcid.org/0000-0002-4288-7661
Shramana DebDepartment of Neurology, Manipal Group of Hospitals, Kolkata, India.ORCID http://orcid.org/0000-0003-3383-4063
Nirmalya RayDepartment of Neurology, Manipal Group of Hospitals, Kolkata, India.
Ananya SenguptaDepartment of Neurology, Manipal Group of Hospitals, Kolkata, India.
Purbita SenDepartment of Neurology, Manipal Group of Hospitals, Kolkata, India.
Debarati BarmaDepartment of Internal Medicine, IPGMER and SSKM Hospital, Kolkata, India.
Jayanta RoyDepartment of Neurology, Manipal Group of Hospitals, Kolkata, India.ORCID http://orcid.org/0000-0003-4906-2619
Anjan ChowdhuryDepartment of Computer Science and Engineering, Indian Institute of Technology (IIT), Dhanbad, India. anjanchowdhury@iitism.ac.in.ORCID http://orcid.org/0000-0003-1056-1568
Julián Benito-LeónDepartment of Neurology, 12 de Octubre University Hospital, Madrid, Spain. jbenitol67@gmail.com.ORCID http://orcid.org/0000-0002-1769-4809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntracranial steno-occlusive lesions are characteristic of moyamoya disease (MMD), but increasing reports of extracranial vascular involvement suggest a possible systemic arteriopathy.

methodsWe conducted a PRISMA-guided systematic review (1974-May 2025) to identify extracranial vascular involvement in classical MMD. Seventy-four studies were included. Because the search was limited to English-language publications, language bias may be present. A subset of 85 patients from 46 studies was used for exploratory multilabel machine-learning and deep-learning modeling based on clinical variables.

resultsSeventy-four studies comprising 143 patients (59.4% female) were included; mean age was 24.9 years. Bilateral intracranial disease predominated. Among patients with isolated extracranial involvement, coronary lesions were most frequent (33.1%), followed by renal (31.5%), pulmonary (14.6%), external carotid (10.8%), vertebral (4.6%), and celiac/mesenteric (3.1%) involvement; other rare single-vessel lesions accounted for 2.3%. Multisite involvement occurred in 9.1%. Of 25 genotyped patients, 23 (92.0%) carried RNF213 variants. Mortality was highest in the pulmonary subgroup (31.6%). Logistic regression and random forest showed the best overall balance of accuracy, F1 score, and ROC area, whereas one-dimensional convolutional neural networks were the strongest deep-learning models, although deep learning overall underperformed machine learning. Feature selection identified vascular risk factors and bilateral MMD as the strongest predictors.

conclusionsExtracranial vascular involvement in MMD appears age- and vascular bed-specific. These findings are consistent with, but do not establish, a systemic arteriopathy framework and support further prospective validation.

Indexed as

Machine LearningMoyamoya DiseaseHumansCoronary artery stenosisExtracranial vascular associationsMoyamoya diseasePulmonary arterial hypertensionRenal artery stenosisSystematic review

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.