Evidence map›Paper›PMID 29343148›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2018

Predictors of intracranial hemorrhage volume and distribution in brain arteriovenous malformation.

Jay F Yu, Andrew D Nicholson, Jeffrey Nelson, Matthew D Alexander, Stephanie H Tse, Steven W Hetts, J Claude Hemphill, Helen Kim, Daniel L Cooke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 1 institution in 1 country.

Jay F Yu1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.ORCID http://orcid.org/0000-0003-3305-0947
Andrew D Nicholson1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.
Jeffrey Nelson2 Center for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, 8785 University of California, San Francisco , CA, USA.
Matthew D Alexander1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.
Stephanie H Tse1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.
Steven W Hetts1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.ORCID http://orcid.org/0000-0001-5885-7259
J Claude Hemphill1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.
Helen Kim2 Center for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, 8785 University of California, San Francisco , CA, USA.
Daniel L Cooke1 Department of Radiology and Biomedical Imaging, 8785 University of California, San Francisco , CA, USA.
University of California, San Francisco · US

Funding

PREDICTORS OF SPONTANEOUS CEREBRAL AVM HEMORRHAGER01NS034949 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KIM, HELEN · 1995 to 2017
$6.5M
NINDS NIH HHS R01 NS034949
6 · The paper itself

Abstract

Background and purpose Despite evidence regarding risk factors for brain arteriovenous malformation (bAVM)-associated spontaneous intracranial hemorrhage (ICH), few data exist describing the spectrum of clinical outcomes that bAVM-associated ICH may manifest. This study aimed to identify the demographical, clinical, and bAVM anatomical variables associated with ICH volume and the presence of intraventricular hemorrhage (IVH) of ruptured bAVMs, two indicators of worse clinical outcome, to help better predict outcome for unruptured bAVMs. Methods Computed tomography images ( n = 169) of patients with ruptured bAVM in a prospectively maintained institutional database were retrospectively reviewed to calculate ICH volume and the presence or absence of IVH. Demographic, clinical, and bAVM characteristics information was summarized and analyzed with univariable and multivariable regression models to identify the associations of these features with ICH volume and the presence of IVH. Results Patient sex, exclusively deep venous drainage, and lobar location were associated with ICH volume in univariable analysis; exclusively deep venous drainage remained significant in multivariable analysis (PI = 0.33, 95% CI: 0.21-0.52, p < 0.001). Exclusively deep venous drainage, multiple feeding arteries, and venous stenosis were associated with IVH in univariable analysis; exclusively deep venous drainage (OR = 7.27, 95% CI: 1.94-27.29, p = 0.003) remained significant in multivariable analysis. Conclusions Variables associated with ICH volume and the presence of IVH in ruptured bAVMs were evaluated and identified. They impart information that may help predict the clinical outcome of unruptured bAVM, in turn aiding clinicians in treatment planning.

Indexed as

Tomography, X-Ray ComputedAdultFemaleHumansIntracranial Arteriovenous MalformationsIntracranial HemorrhagesMaleRetrospective StudiesRisk FactorsbAVMbrain arteriovenous malformationICHintracerebral hemorrhageintraventricular hemorrhageIVH

Identifiers

PMID29343148
PMCPMC5847017
OpenAlexW2784778446

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.