Evidence map›Paper›PMID 36675386›Full record

ArticleJournal of clinical medicine2023

Prognostic Significance of Cardiac Magnetic Resonance in Left Atrial and Biventricular Strain Analysis during the Follow-Up of Suspected Myocarditis.

Yan Chen, Wenjing Zhao, Nan Zhang, Jiayi Liu, Dongting Liu, Zhonghua Sun, Lei Xu, Zhaoying Wen

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

8 authors at 2 institutions in 2 countries.

Yan ChenDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.ORCID 0000-0002-4168-1944
Wenjing ZhaoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.ORCID 0000-0001-6507-4594
Nan ZhangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.ORCID 0000-0002-8309-4262
Jiayi LiuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.ORCID 0000-0002-5617-7054
Dongting LiuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.ORCID 0000-0002-6103-0807
Zhonghua SunDiscipline of Medical Radiation Science, Curtin Medical School, Curtin University, Perth 6102, Australia.ORCID 0000-0002-7538-4761
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.
Zhaoying WenDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, Beijing 100029, China.ORCID 0000-0003-3015-1179
Capital Medical University · CNCurtin University · AU

Funding

National Nature Science Foundation 82071880
6 · The paper itself

Abstract

To assess the variation in left atrial (LA) and biventricular strain and its prognostic value in the course of suspected myocarditis, this retrospective study included 55 patients with clinically suspected myocarditis who underwent cardiac magnetic resonance (CMR) examinations at baseline and follow-up periods. Cine images were used for feature tracking analysis. Paired Student's

Indexed as

atriumfeature trackingmagnetic resonance imagingmyocarditisstrainventricle

Identifiers

PMID36675386
PMCPMC9862408
OpenAlexW4313641413

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.