Evidence map›Paper›PMID 32458143›Full record

ArticleEmergency radiology2020

Multivariable analysis on factors associated with aneurysm rupture in patients with multiple intracranial aneurysms.

Afonso C P Liberato, Jing Xu, Daniel Montes, Jeremy J Heit, Isabelle Barnaure, Noor M Maza, Hui Zheng, Joshua A Hirsch, R Gilberto González, Javier M Romero

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Article in Emergency radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% 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, 9 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Afonso C P LiberatoDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Jing XuDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Daniel MontesDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Jeremy J HeitDepartment of Radiology, Neurointerventional Radiology Division, Stanford University Medical Center, Stanford, CA, 940305, USA.
Isabelle BarnaureDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Noor M MazaDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Hui ZhengBiostatistics Center, Massachusetts General Hospital, Boston, MA, 02114, USA.
Joshua A HirschDepartment of Interventional Neuroradiology, Massachusetts General Hospital, Boston, MA, 02114, USA.
R Gilberto GonzálezDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Javier M RomeroDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA. jmromero@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-5749-3000
Harvard University · USMassachusetts General Hospital · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple intracranial aneurysms (MIA) occur in one-third of patients with intracranial aneurysms (IA), and have been previously associated with an overall worse prognosis. Risk factors for IA formation and rupture in patients with a single IA are well-known. However, risk factors associated with rupture in patients with MIA have been less studied.

methodsWe performed a retrospective search of patients with MIA identified by computed tomography angiography (CTA) within a 10-year period. Patients with > 1 saccular aneurysm with size ≥ 2.0 mm were included. The location, size, number, and rupture status of the aneurysms were recorded. Patient demographics and cerebrovascular risk factors were obtained from electronic medical records. The primary endpoint of this study was to determine the association of these factors with aneurysmal rupture. The case-fatality rate was evaluated as a secondary outcome.

resultsOf the 2957 patients with IA in our CTA database, 425 patients were diagnosed with MIA and were therefore included in our study. A total of 1082 aneurysms were identified. Predictors of increased risk of aneurysmal rupture were age (OR 0.98, 95% CI, 0.96-0.99), size ≥ 5 mm (OR 4.4, 95% CI 2.76-7.0); and location in the anterior communicating artery complex (AcomC) (OR 2.62, 95% CI, 1.46-4.72) or posterior communicating artery (PCOM) (OR 2.66, 95% CI, 1.45-4.87).

conclusionsYounger age, aneurysm size ≥ 5 mm, and location in the AcomC and PCOM were independently associated with aneurysmal rupture in patients with MIA. Identifying these features could help recognize patients who might benefit from early intervention.

Indexed as

Cerebral AngiographyComputed Tomography AngiographyAgedAneurysm, RupturedContrast MediaFemaleHumansImaging, Three-DimensionalIntracranial AneurysmMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesRisk FactorsContrast MediaAneurysmBrainRisk factorsStrokeSubarachnoid hemorrhage

Identifiers

PMID32458143
OpenAlexW3032609681

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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.