Evidence map›Paper›PMID 38737252›Full record

ReviewHeliyon2024

Knowledge domain and emerging trends in anxiety and depression after myocardial infarction research during 2002-2022: Bibliometric and visualized analysis.

Liang Kang, Shaoyu Wang, Yihua Li, Xinjun Zhao, Qingmin Chu, Rong Li

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liang KangThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shaoyu WangThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yihua LiThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xinjun ZhaoDepartment of Cardiovascular Disease, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Qingmin ChuDepartment of Cardiovascular Disease, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Rong LiDepartment of Cardiovascular Disease, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to analyze developmental trends in anxiety and depression after myocardial infarction (ADMI) research in the past 20 years through bibliometrics analysis and predict future research directions. Methods: ADMI-related publications were retrieved from the Web of Science Core Collection. Bibliometric, VOSviewer, CiteSpace, and Bibliometrix software packages were used for bibliometric analysis and visualization. Results: Overall, 3220 ADMI-related publications were identified. The United States, China, and the Netherlands were the countries with the most publications. Carney RM, De Jonge P, and Blumenthal JA were the most influential researchers. In 2004, Van Melle JP, from the University of Groningen, published in Conclusion: Numerous studies have underscored the significance of cardiac rehabilitation. Present research focuses on managing anxiety and depression post-acute coronary syndrome and enhancing clinical outcomes through cardiac rehabilitation technology. Additionally, the therapeutic potential of traditional Chinese medicine for ADMI is expected to attract increased attention from researchers in the future.

Indexed as

Acute coronary syndromeAnxietyBibliometric analysisDepressionMyocardial infarction

Identifiers

PMID38737252
PMCPMC11088254

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.