Evidence map›Paper›PMID 39310452›Full record

ReviewCureus2024

Cavernous Malformations of the Central Nervous System: A Comprehensive Review of Pathophysiology, Diagnosis, and Management.

Kaustuv Das, Jayshree Sen, Aishwarya S Borode

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Kaustuv DasAnesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Jayshree SenAnaesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Aishwarya S BorodeAnesthesiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cavernous malformations (CMs) of the central nervous system (CNS) are vascular anomalies characterized by clusters of dilated, thin-walled blood vessels prone to leakage and hemorrhage. These malformations can occur throughout the CNS, including the brain and spinal cord, and present with a wide range of clinical manifestations, from asymptomatic cases to severe neurological deficits. Advances in neuroimaging, particularly magnetic resonance imaging (MRI), have greatly improved the diagnosis and understanding of CMs, enabling more precise differentiation from other vascular lesions. The management of CMs has evolved alongside advancements in surgical and radiosurgical techniques, offering various therapeutic options depending on the lesion's characteristics and patient symptoms. While conservative management is often appropriate for asymptomatic or minimally symptomatic lesions, surgical resection or stereotactic radiosurgery may be indicated in cases with recurrent hemorrhage or significant neurological impairment. This comprehensive review explores the pathophysiology, clinical presentation, diagnosis, and management of CMs, highlighting current evidence-based practices and emerging therapeutic approaches. The review also addresses the genetic and molecular underpinnings of CMs, particularly in hereditary cases, and discusses potential future directions in research and treatment. By synthesizing the latest knowledge in the field, this review aims to enhance clinical decision-making and promote further investigation into the optimal management of CMs in the CNS.

Indexed as

cavernous malformations (cms)central nervous system (cns)genetic mutationshemorrhageneuroimagingsurgical resection

Identifiers

PMID39310452
PMCPMC11416750

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.