Evidence map›Paper›PMID 33087795›Full record

ArticleScientific reports2020

Surrounding vascular geometry associated with basilar tip aneurysm formation.

Jian Zhang, Anil Can, Pui Man Rosalind Lai, Srinivasan Mukundan, Victor M Castro, Dmitriy Dligach, Sean Finan, Vivian S Gainer, Nancy A Shadick, Guergana Savova and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
0.4field-weighted citation impact, top 35% 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, 8 citations in OpenAlex.

  1. Article
  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

14 authors at 5 institutions in 3 countries.

Jian ZhangDepartment of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Anil CanDepartment of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Pui Man Rosalind LaiDepartment of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Srinivasan MukundanDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Victor M CastroResearch Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Dmitriy DligachBoston Children's Hospital Informatics Program, Boston, MA, USA.
Sean FinanBoston Children's Hospital Informatics Program, Boston, MA, USA.
Vivian S GainerResearch Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Nancy A ShadickDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
Guergana SavovaBoston Children's Hospital Informatics Program, Boston, MA, USA.
Shawn N MurphyResearch Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Tianxi CaiBiostatistics, Harvard School of Public Health, Boston, MA, USA.
Scott T WeissDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
Rose DuDepartment of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA. rdu@bwh.harvard.edu.
Brigham and Women's Hospital · USBoston Children's Hospital · USFirst Affiliated Hospital of Soochow University · CNHarvard University · USMassachusetts General Hospital · US

Funding

TrainingU54HG007963 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2014 to 2018
$18.3M
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 HG007963NIH HHS U54 HG007963
6 · The paper itself

Abstract

Hemodynamic stress is thought to play an important role in the formation of intracranial aneurysms, which is conditioned by the geometry of the surrounding vasculature. Our goal was to identify image-based morphological parameters that were associated with basilar artery tip aneurysms (BTA) in a location-specific manner. Three-dimensional morphological parameters obtained from CT-angiography (CTA) or digital subtraction angiography (DSA) from 207 patients with BTAs and a control group of 106 patients with aneurysms elsewhere to control for non-morphological factors, who were diagnosed at the Brigham and Women's Hospital and Massachusetts General Hospital between 1990 and 2016, were evaluated. We examined the presence of hypoplastic, aplastic or fetal PCoAs, vertebral dominance, and diameters and angles of surrounding parent and daughter vessels. Univariable and multivariable statistical analyses were performed to determine statistical significance. Sensitivity analyses with small (≤ 3 mm) aneurysms only and with angles excluded, were also performed. In multivariable analysis, daughter-daughter angle was directly, and parent artery diameter and diameter size ratio were inversely associated with BTAs. These results remained significant in the subgroup analysis of small aneurysms (width ≤ 3 mm) and when angles were excluded. These easily measurable and robust parameters that are unlikely to be affected by aneurysm formation could aid in risk stratification for the formation of BTAs in high-risk patients.

Indexed as

AdultAgedAngiography, Digital SubtractionBasilar ArteryComputed Tomography AngiographyFemaleHumansIntracranial AneurysmMaleMiddle AgedRisk

Identifiers

PMID33087795
PMCPMC7578056
OpenAlexW3094515703

What OpenQuestion holds

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LicenceCC BY
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.