Evidence map›Paper›PMID 36523549›Full record

ArticleFrontiers in physiology2022

Evaluation of the transverse aortic constriction model in ICR and C57BL/6J mice.

Mengying Huang, Lishuang Yu, Xiaoping Wang, Mingmin Wang, Weili Li, Jiayang Tang, Guanjing Ling, Xiaoqi Wei, Yong Wang, Wei Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. 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
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  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

12 authors at 2 institutions in 1 country.

Mengying HuangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Lishuang YuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xiaoping WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Mingmin WangEndocrinology Department, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Weili LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jiayang TangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Guanjing LingSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xiaoqi WeiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yong WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Wei WangBeijing Key Laboratory of TCM Syndrome and Formula, Beijing, China.
Yan WuBeijing Key Laboratory of TCM Syndrome and Formula, Beijing, China.
Linghui LuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Beijing University of Chinese Medicine · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transverse aortic constriction (TAC) is a frequently used model to investigate pressure overload-induced progressive heart failure (HF); however, there is considerable phenotypic variation among different mouse strains and even sub-strains. Moreover, less is known about the TAC model in ICR mice. Therefore, to determine the suitability of the ICR strain for TAC-induced HF research, we compared the effects of TAC on ICR and C57BL/6J mice at one, two and four weeks post-TAC

Indexed as

C57BL/6J micecardiac hypertrophyheart failureICR micepressure overloadtransverse aortic constriction

Identifiers

PMID36523549
PMCPMC9745147
OpenAlexW4310988993

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.