Evidence map›Paper›PMID 38223124›Full record

ArticleQuantitative imaging in medicine and surgery2024

The use of cardiac magnetic resonance in hypertrophic cardiomyopathy over the past 10 years [2013-2023]: a CiteSpace-based bibliometric analysis.

Mengyao Hu, Yu Shen, Yipei Song, Shuhao Li, Pei Yang, Ao Kan, Qiming Fang, Yun Peng, Haibo Ren, Yajing Zhang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. 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 31% 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, 2 citations in OpenAlex.

  1. Article
  2. Review
  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

11 authors at 4 institutions in 1 country.

Mengyao Hu *Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yu Shen *Department of Neurology, the First Affiliated Hospital of Nanchang University, Nanchang, China.
Yipei SongDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Shuhao LiDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Pei YangDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Ao KanDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Qiming FangDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yun PengDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Haibo RenDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yajing ZhangDepartment of Neurology, the People's Hospital of Tiantai County, Taizhou, China.
Lianggeng GongDepartment of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Second Affiliated Hospital of Nanchang University · CNNanchang University · CNFirst Affiliated Hospital of Nanchang University · CNThe First People's Hospital of Tianmen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertrophic cardiomyopathy (HCM) is a common genetic cardiac disorder characterized by the hypertrophy of a segment of the myocardium. Cardiac magnetic resonance (CMR) has been widely used in the assessment of HCM. However, no bibliometric assessment has been conducted on the progress of research in this field. This study thus aimed to examine the current state of research into the application of CMR in HCM and the hotspots and trends that have emerged in this field over the past decade. Methods: A systematic search was conducted on the Web of Science regarding CMR in the assessment of HCM. The databases were searched from 2013 to June 2023. CiteSpace is an application that can be used to characterize the underlying knowledge of the scientific literature in a given field. We used it to analyze the relationship between publication year and country, institution, journal, author, bibliography, and keywords in the field of CMR for the assessment of HCM. Results: A total of 1,427 articles were included in the analysis. In the assessment of HCM, the findings from the past decade have consistently demonstrated a progressive rise in the quantity of articles pertaining to CMR. The country with the largest number of publications was the United States [310], and the institution with the greatest number of publications was the University College London [45]. The analysis of keywords revealed the diagnosis and management of HCM with CMR to be the current research focus and emerging trend within this academic field. Conclusions: This study used a novel approach to visually analyze the use of CMR in HCM assessment. The current research trajectory in CMR consists of the diagnosis and management of patients with HCM. Although most studies confirmed the indispensability of CMR in the assessment of HCM, larger-scale cohorts are still needed to more comprehensively evaluate the role of CMR in the differential diagnosis, pre- and post-treatment assessment, and long-term management of patients with HCM.

Indexed as

bibliometric analysisCardiac magnetic resonance (CMR)CiteSpacehypertrophic cardiomyopathy (HCM)

Identifiers

PMID38223124
PMCPMC10784000
OpenAlexW4390425984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.