Evidence map›Paper›PMID 42176004›Full record

SynthesisChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2026

The relation between cerebral arteriovenous malformations and heart diseases in the pediatric population: a systematic review and meta-analysis.

Valentina Ponchio, Reem Hussin, Wassim Harati, Maria Eduarda Gerhardt, Fernanda Boyadjian Dias, Anas Hussin, Fernanda Fenner, Matheus Felipe de Souza Vasconcelos, Raphael Bertani

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 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.

Valentina PonchioSanta Casa de São Paulo School of Medical Sciences, São Paulo, Brazil. valenponchio@gmail.com.
Reem HussinSanta Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Wassim HaratiSanta Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Maria Eduarda GerhardtSanta Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Fernanda Boyadjian DiasUniversidade Metropolitana de Santos, Santos, Sao paulo, Brazil.
Anas HussinSanta Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Fernanda FennerDivision of Neurosurgery, Department of Surgery, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Matheus Felipe de Souza VasconcelosDivision of Neurosurgery, Department of Surgery, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil.
Raphael BertaniDepartment of Neurosurgery, University of São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral arteriovenous malformations (AVMs) and congenital heart diseases (CHDs) are rare, complex conditions that often present diagnostic and therapeutic challenges-especially when they coexist in pediatric patients. Though individually uncommon, their association raises important questions about shared developmental origins, systemic implications, and long-term outcomes. Understanding this relationship is crucial for improving early recognition, tailoring treatment strategies, and reducing morbidity and mortality in affected children. This systematic review and meta-analysis explored the relationship between AVMs and CHDs in the pediatric population, analyzing 139 studies published between 1971 and 2023. Together, these studies included data from 1042 patients. The co-occurrence of these two conditions highlights a potential interplay between cerebral and cardiac vascular development. By clarifying their association, this study aims to support earlier recognition, improve multidisciplinary management, and ultimately enhance clinical outcomes. The results revealed important patterns in how specific types and locations of AVMs relate to different forms of heart disease. AVMs located in infratentorial regions-such as the brainstem and cerebellum-were generally associated with lower risks of complications, while those in deep cerebral areas showed stronger links to adverse outcomes. Among the heart conditions evaluated, atrial septal defects (ASDs), cardiomyopathies, and high-output cardiac failure were most frequently associated with AVMs, suggesting overlapping embryologic and hemodynamic mechanisms. The most commonly reported complications included hydrocephalus, hemorrhage, and mortality. ROC curve analysis showed that mortality had the highest predictive value (AUC 0.62), followed by hydrocephalus (0.53) and hemorrhage (0.48). A composite risk model (AUC 0.59) suggested that combining clinical variables could improve prognostication. Neurological sequelae such as seizures, developmental delay, and microcephaly were frequent, particularly in hemorrhagic cases. Interestingly, in some patients, AVM treatment led to improvement in cardiac symptoms, suggesting a bidirectional relationship between cerebral and cardiac function. Despite variability in study quality, results were consistent across analyses, even when lower-quality studies were excluded. Most studies were rated moderate to high quality, though classification challenges were noted. Overall, the findings support a meaningful association between specific AVM and CHD subtypes and highlight the importance of early diagnosis and collaborative care involving multidisciplinary approach.

Indexed as

Heart Defects, CongenitalHeart DiseasesIntracranial Arteriovenous MalformationsChildHumansCerebral arteriovenous malformationsHeart diseasesOutcomesPediatric population

Identifiers

PMID42176004
PMCPMC13198478

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.