Evidence map›Paper›PMID 36818354›Full record

ArticleFrontiers in cardiovascular medicine2023

Global research trends of hypertrophic cardiomyopathy from 2000 to 2022: Insights from bibliometric analysis.

Xifeng Zheng, Zhongkai He, Ming Li, Zhen Jia

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. 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 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

2 citing papers in PubMed, 5 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

4 authors at 1 institution in 1 country.

Xifeng ZhengDepartment of Cardiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zhongkai HeDepartment of Cardiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Ming LiDepartment of Cardiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zhen JiaDepartment of Geriatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To analyze the global research trends of hypertrophic cardiomyopathy (HCM) from 2000 to 2022 and explore new frontiers in this field. Methods: We reviewed the literature in the Web of Science Core Collection database from January 2000 to August 2022 using the retrieval strategy of medical subject headings combined with text words. We focused on articles and reviews that were published in English. Relevant data of the target publications, such as title, authors, organizations, abstract, keywords, published date, journal, and number of citations, were collected. The R software with the "bibliometrix" and VOSviewer software was used to process and visualize the information. Results: Among a total of 20,581 records related to HCM, 13,427 from 103 countries and regions, 8,676 affiliations, and 46,645 researchers were included. Most of the publications in this field were from the United States, followed by Japan, the United Kingdom, and China. We also report the top 10 institutions and most influential researchers, cited articles, and highest-frequency keywords (echocardiography, heart failure, sudden cardiac death, genetics, atrial fibrillation, magnetic resonance imaging/cardiac magnetic resonance, prognosis, mutation, arrhythmia, late gadolinium enhancement). In addition, keywords trend analysis indicated that the novel medicine Mavacamten, genetic diagnosis, and cardiac magnetic resonance have attracted the most attention for the treatment and diagnosis of HCM over the past five years. Conclusion: The present study reports on the global research trends of HCM over the past two decades using bibliometric analysis. It may enlighten new frontiers in the diagnosis, treatment, and risk prevention of HCM.

Indexed as

bibliometric analysiscardiac magnetic resonancegenetic diagnosishypertrophic cardiomyopathyMavacamtenweb of science

Identifiers

PMID36818354
PMCPMC9932818
OpenAlexW4318996990

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.