Evidence map›Paper›PMID 38521811›Full record

ArticleScientific reports2024

A highly selective mPGES-1 inhibitor to block abdominal aortic aneurysm progression in the angiotensin mouse model.

Lauren M Weaver, Madeline J Stewart, Kai Ding, Charles D Loftin, Fang Zheng, Chang-Guo Zhan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

6 authors at 1 institution in 1 country.

Lauren M WeaverDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Madeline J StewartDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Kai DingDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Charles D LoftinDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Fang ZhengDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Chang-Guo ZhanDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA. zhan@uky.edu.
University of Kentucky · US

Funding

Understanding the role of anti-apolipoprotein A-I antibodies in atherosclerotic cardiovascular diseaseP20GM130456 · NIGMS · UNIVERSITY OF KENTUCKY · PI Jon Scott Thorson · 2020 to 2026
$18.7M
Kentucky Network for Innovation & Commercialization (“KYNETIC”)U01HL152392 · NHLBI · UNIVERSITY OF KENTUCKY · PI DWOSKIN, LINDA P, MERTEN, KEVYN E · 2019 to 2022
$3.9M
NHLBI NIH HHS U01 HL152392NIH HHS P20 GM130456NIH HHS U01 HL152392
6 · The paper itself

Abstract

Abdominal aortic aneurysm (AAA) is a deadly, permanent ballooning of the aortic artery. Pharmacological and genetic studies have pointed to multiple proteins, including microsomal prostaglandin E

Indexed as

Aortic Aneurysm, AbdominalAngiotensin IIAnimalsAortaDinoprostoneDisease Models, AnimalMiceProstaglandin-E SynthasesProstaglandinsAngiotensin IIDinoprostoneProstaglandin-E SynthasesProstaglandinsAbdominal aortic aneurysmAneurysmAnti-inflammationmPGES-1 inhibitorProstaglandin E2

Identifiers

PMID38521811
PMCPMC10960802
OpenAlexW4393111839

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.