ReviewJournal of multidisciplinary healthcare2025
A Systematic Bibliometric Analysis of Cardiovascular Disease Risk in Obesity (2014-2024).
Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Obesity, as a global chronic disease, is causing an increasing risk of cardiovascular disease. This study used bibliometrics to synthesize and analyze publications related to obesity and cardiovascular risk from 2014 to 2024. It aimed to clarify the current status of research, predict future trends, and provide a scientific basis for prevention and treatment. Methods: In this study, we used bibliometrics online analysis platform, Citespace (version 6.3.R1, LLR algorithm) and VOSviewer (version 1.6.20) software to analyze the co-occurrence network analysis of publications related to cardiovascular risk of obesity in worldwide for countries, institutions, authors, and journals from January 2014 to September 2024, and keyword co-occurrence, clustering, and burst analysis were performed to reveal research trends and hotspots. Results: A total of 1492 articles related to cardiovascular risk in obesity were selected for this study, and in terms of the number of publications showed a steady increase over time. Based on keyword clustering analysis, the field can be summarized into two research themes: the field of the relationship between health indicators such as BMI, waist circumference, cardiovascular disease, and the field of metabolism and obesity-related issues. According to the keyword burst analysis, the keywords cholesterol, oxidative stress, non-alcoholic fatty liver disease, and ratio to height became prominent and will be the main research hotspots in the future. Conclusion: In recent years, there has been a rapid increase in cardiovascular risk research in obese patients. This article reveals the remarkable progress and dynamic trends in this field, providing strong support for exploring new directions, as well as laying a data foundation for public health policy development and interdisciplinary collaboration. Future research should prioritize focusing on mechanism exploration and clinical application of novel drugs to promote health improvement.
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Identifiers
What OpenQuestion holds
Registered trials
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.