Evidence map›Paper›PMID 19953116›Full record

ReviewNature reviews. Neurology2009

Cavernous malformations: natural history, diagnosis and treatment.

Sachin Batra, Doris Lin, Pablo F Recinos, Jun Zhang, Daniele Rigamonti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 2% of its field
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

127 citing papers in PubMed, 3 syntheses or guidelines pooled it, 322 citations in OpenAlex.

  1. Pooled it
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  8. bioRxiv : the preprint server for biology · 2026
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  19. Giant pediatric brainstem cavernoma: illustrative case.Journal of neurosurgery. Case lessons · 2025
    Article
  20. Article

67 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 1 country.

Sachin BatraDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Doris Lin
Pablo F Recinos
Jun Zhang
Daniele Rigamonti
Johns Hopkins University · USJohns Hopkins Medicine · USTexas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cavernous malformations (CMs) consist of dilated vascular channels that have a characteristic appearance on MRI. CMs are usually found intracranially, although such lesions can also affect the spinal cord. Individuals with CMs can present with epilepsy and focal neurological deficits or acute intracranial hemorrhage. In many cases, however, patients with such lesions are asymptomatic at diagnosis. Furthermore, several natural history studies have documented that a substantial proportion of asymptomatic CMs follow a benign course. Surgical resection is recommended for CMs that require intervention. Radiosurgery has been advocated for many lesions that have not been easily accessible by conventional surgery. The outcomes of radiosurgery and surgery for deep lesions, however, vary widely between studies, rendering treatment recommendations for such CMs difficult to make. In addition to reviewing the literature, this article will discuss the current understanding of lesion pathophysiology and explore the controversial issues in the management of CMs, such as when to use radiosurgery or surgery in deep-seated lesions, the treatment of epilepsy, and the safety of anticoagulation.

Indexed as

Central Nervous System Vascular MalformationsDiagnostic ImagingDisease ProgressionHumansImmunomodulationNeurosurgical ProceduresRadiosurgery

Identifiers

PMID19953116
OpenAlexW2047238601

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.