Evidence map›Paper›PMID 37337397›Full record

ReviewNeurointervention2023

Management of Adult Unruptured Brain Arteriovenous Malformations: An Updated Network Meta-Analysis.

Adam A Dmytriw, Jerry Ku, Sherief Ghozy, Sahibjot Grewal, Nicole M Cancelliere, Ahmed Y Azzam, Robert W Regenhardt, James D Rabinov, Christopher J Stapleton, Krunal Patel and 3 more

Open access · diamondAbstract readReview
In one paragraph

Review in Neurointervention, 2023. 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
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

13 authors at 4 institutions in 2 countries.

Adam A DmytriwNeurovascular Centre, Departments of Medical Imaging & Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Jerry KuDepartments of Neurosurgery & Interventional Neuroradiology, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Sherief GhozyDepartment of Neuroradiology, Mayo Clinic, Rochester, MN, USA.
Sahibjot GrewalNeurovascular Centre, Departments of Medical Imaging & Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Nicole M CancelliereNeurovascular Centre, Departments of Medical Imaging & Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Ahmed Y AzzamDepartment of Neuroradiology, Mayo Clinic, Rochester, MN, USA.
Robert W RegenhardtNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
James D RabinovNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Christopher J StapletonNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Krunal PatelDepartments of Neurosurgery & Interventional Neuroradiology, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Aman B PatelNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Vitor Mendes PereiraNeurovascular Centre, Departments of Medical Imaging & Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Michael TymianskiDepartments of Neurosurgery & Interventional Neuroradiology, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Harvard University · USSt. Michael's Hospital · CAUniversity of Toronto · CAMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of unruptured brain arteriovenous malformations (ubAVMs) is a complex challenge to neurovascular practitioners. This meta-analysis aimed to identify the optimal management of ubAVMs comparing conservative management, embolization, radiosurgery, microsurgical resection, and multimodality. The search strategy was developed a priori according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched the Ovid Medline, Embase, Web of Science, and Cochrane Library databases to identify relevant papers. Using R version 4.1.1., a frequentist network meta-analysis was conducted to compare different management modalities for the ubAVMs. Overall, the conservative group had the lowest risk of rupture (P-score=0.77), and the lowest rate of complications was found in the conservative group (P-score=1). Among different interventions, the multimodality group had the highest rupture risk (P-score=0.34), the lowest overall complications (P-score=0.75), the best functional improvement (P-score=0.65), and the lowest overall mortality (P-score=0.8). However, multimodality treatment showed a significantly higher risk of rupture (odds ratio [OR]=2.13; 95% confidence interval [95% CI]=1.18-3.86) and overall complication rate (OR=5.56; 95% CI=3.37-9.15) compared to conservative management; nevertheless, there were no significant differences in overall mortality or functional independence when considered independently. Conservative management is associated with the lowest rupture risk and complication rate overall. A multimodal approach is the best option when considering mortality rates and functional improvement in the context of existing morbidity/symptoms. Microsurgery, embolization, and radiosurgery alone are similar to the natural history in terms of functional improvement and mortality, but have higher complication rates.

Indexed as

A Randomized Trial of Unruptured Brain Arteriovenous MalformationsArteriovenous malformationNeurosurgery

Identifiers

PMID37337397
PMCPMC10318219
OpenAlexW4381308823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.