Study on myocardial infarction based on nationwide inpatient sample database: a bibliometric analysis from 2000 to 2022

Abstract

Background: Studies on myocardial infarction (MI) based on large medical databases have become popular in recent years. The influence of the National Inpatient Sample (NIS), the largest collection of administrative healthcare data across the United States, on the field of MI has not been well investigated. This study aimed to quantify the contribution of NIS to MI research using bibliometric methods.

Methods: We searched the Web of Science Core Collection database to identify publications on MI using NIS from 2000 to 2022. Bibliometric indicators, such as the number of publications, citations, and Hirsch index (H-index), were summarized by years, authors, organizations, and journals. VOSviewer and CiteSpace software were used to analyze the keywords and trends of the hot spots.

Results: A total of 342 articles on MI based on NIS were included. A significant growth in outputs related to MI using the NIS from 2000 to 2020 was observed. The publications were mainly from the United States. The Mayo Clinic was the most prolific institution and had the most citations and the highest H-index. The American Journal of Cardiology ranked first among journals with the highest number of publications, citations, and H-index. Mortality and healthcare management are the main focuses of this field. Personalized risks and care are receiving increased attention.

Conclusion: This study suggests that NIS significantly contributes to high-quality output in MI research. More efforts are needed to improve the impact of knowledge gained from the NIS on MI.

Keywords

Administrative healthcare database / Bibliometrics / Big data / Myocardial infarction / National Inpatient Sample

Conflict of interest statement

The authors declare no conflict of interest.

Author contributions

Zhang T, Yang X, Zhuang Q, Liu Y and Bai H participated in the performance of the research. Zhang T, Ye Z and Yang X wrote the paper. Zhang T and Liu J analyzed the data. Zhang T and Liu Y collected the data. Liu J and Ye Z participated in research design.

Funding

The study was granted by National Clinical Research Center for geriat-ric diseases (Jianchao Liu, grant number NCRCG-PLAGH-2019001) and National Natural Science Foundation of China (Zhouheng Ye, grant number 82000587). These 2 funding sources were in-volved in study design, collection, analysis, interpretation of data; in writing the report; and in the decision to submit the article for publication.

Ethical approval of studies and informed consent

All studies included in this study followed the principles of the Declaration of Helsinki as revised in 2013.

Acknowledgments

We would like to acknowledge the grants from National Clinical Research Center for geriatric diseases (NCRCG-PLAGH-2019001) and National Natural Science Foundation of China (82000587). Furthermore, we would like to thank Editage (www.editage.cn) for English language editing.

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