Evidence map›Paper›PMID 38870642›Full record

ArticleJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2024

Family history as the strongest predictor of aortic and peripheral aneurysms in patients with intracranial aneurysms.

Pui Man Rosalind Lai, Elliot Akama-Garren, Anil Can, Selena-Rae Tirado, Victor M Castro, Dmitriy Dligach, Sean Finan, Vivian S Gainer, Nancy A Shadick, Guergana Savova and 4 more

Abstract read
In one paragraph

Article in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Pui Man Rosalind LaiDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY, United States.
Elliot Akama-GarrenDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Anil CanDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Neurosurgery, Erasmus Medical Center, Erasmus MC Stroke Center, Rotterdam, the Netherlands.
Selena-Rae TiradoDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Victor M CastroResearch Information Systems and Computing, Massachusetts General Brigham, Boston, MA, United States.
Dmitriy DligachDepartment of Computer Science, Loyola University, Chicago, IL, United States.
Sean FinanBoston Children's Hospital Informatics Program, Boston, MA, United States.
Vivian S GainerResearch Information Systems and Computing, Massachusetts General Brigham, Boston, MA, United States.
Nancy A ShadickDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, United States.
Guergana SavovaBoston Children's Hospital Informatics Program, Boston, MA, United States.
Shawn N MurphyResearch Information Systems and Computing, Massachusetts General Brigham, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Tianxi CaiBiostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Scott T WeissChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Rose DuDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States. Electronic address: rdu@bwh.harvard.edu.

Funding

TrainingU54HG007963 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2014 to 2018
$18.3M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Developing i2b2 into a Health Innovation Platform for Clinical Decision Support in the Genomics EraR01HG009174 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI ARONSON, SAMUEL JEFFREY, MACRAE, CALUM A. · 2016 to 2019
$2.9M
NHGRI NIH HHS R01 HG009174NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U54 HG007963NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

objectiveIntracranial aneurysms (IA) and aortic aneurysms (AA) are both abnormal dilations of arteries with familial predisposition and have been proposed to share co-prevalence and pathophysiology. Associations of IA and non-aortic peripheral aneurysms are less well-studied. The goal of the study was to understand the patterns of aortic and peripheral (extracranial) aneurysms in patients with IA, and risk factors associated with the development of these aneurysms.

methods4701 patients were included in our retrospective analysis of all patients with intracranial aneurysms at our institution over the past 26 years. Patient demographics, comorbidities, and aneurysmal locations were analyzed. Univariate and multivariate analyses were performed to study associations with and without extracranial aneurysms.

resultsA total of 3.4% of patients (161 of 4701) with IA had at least one extracranial aneurysm. 2.8% had thoracic or abdominal aortic aneurysms. Age, male sex, hypertension, coronary artery disease, history of ischemic cerebral infarction, connective tissues disease, and family history of extracranial aneurysms in a 1st degree relative were associated with the presence of extracranial aneurysms and a higher number of extracranial aneurysms. In addition, family history of extracranial aneurysms in a second degree relative is associated with the presence of extracranial aneurysms and atrial fibrillation is associated with a higher number of extracranial aneurysms.

conclusionSignificant comorbidities are associated with extracranial aneurysms in patients with IA. Family history of extracranial aneurysms has the strongest association and suggests that IA patients with a family history of extracranial aneurysms may benefit from screening.

Indexed as

Intracranial AneurysmAdultAgedAged, 80 and overAortic AneurysmFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsAortic aneurysmsIntracranial aneurysmsPeripheral aneurysms

Identifiers

PMID38870642
PMCPMC11343447

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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.