Evidence map›Paper›PMID 29696811›Full record

ArticlePhysiological reports2018

Development and growth trends in angiotensin II-induced murine dissecting abdominal aortic aneurysms.

Amelia R Adelsperger, Evan H Phillips, Hilda S Ibriga, Bruce A Craig, Linden A Green, Michael P Murphy, Craig J Goergen

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 15 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

7 authors at 3 institutions in 1 country.

Amelia R AdelspergerWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.
Evan H PhillipsWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.
Hilda S IbrigaDepartment of Statistics, Purdue University, West Lafayette, Indiana.
Bruce A CraigDepartment of Statistics, Purdue University, West Lafayette, Indiana.
Linden A GreenIU Health Center for Aortic Disease/Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Michael P MurphyRichard L. Roudebush VA Medical Center, Indianapolis, Indiana.
Craig J GoergenWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.ORCID 0000-0001-8883-7953
Purdue University West Lafayette · USIndiana University Health · USRichard L. Roudebush VA Medical Center · US

Funding

CSRD VA I01 CX001407
6 · The paper itself

Abstract

Abdominal aortic aneurysms are pathological dilations that can suddenly rupture, causing more than 15,000 deaths in the U.S. annually. Current treatment focuses on observation until an aneurysm's size warrants surgical intervention. Thus, there is a need for therapeutic intervention to inhibit growth of smaller aneurysms. An experimental aneurysm model that infuses angiotensin II into apolipoprotein E-deficient mice is widely used to investigate underlying pathological mechanisms and potential therapeutics, but this model has two caveats: (1) aneurysms do not always form, and (2) aneurysm severity and growth is inconsistent among animals. Here we use high-frequency ultrasound to collect data from angiotensin II-induced aneurysms to develop prediction models of both aneurysm formation and growth. Baseline measurements of aortic diameter, volume/length, and strain were used with animal mass and age in a quadratic discriminant analysis and logistic regression to build two statistical models to predict disease status. Longitudinal ultrasound data were also acquired from mice with aneurysms to quantify aneurysm diameter, circumferential strain, blood flow velocity, aneurysm volume/length, and thrombus and open-false lumen volumes over 28 days. Measurements taken at aneurysm diagnosis were used with branching artery information to produce a multiple linear regression model to predict final aneurysm volume/length. All three statistical models could be useful in future aneurysm therapeutic studies to better delineate the effects of preventative and suppressive treatments from normal variations in the angiotensin II aneurysm model.

Indexed as

Angiotensin IIAnimalsAortic Aneurysm, AbdominalAortic DissectionApolipoproteins EDisease Models, AnimalDisease ProgressionMaleMiceUltrasonographyAngiotensin IIApolipoproteins Eaneurysmangiotensinaortaultrasound

Identifiers

PMID29696811
PMCPMC5917066
OpenAlexW2799314395

What OpenQuestion holds

Textmetadata
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.