SEARCHSYSTEMATIC_REVIEWgastroenterology, nutrition

systematic_review·gastroenterology, nutrition, dietetics, epidemiology, systematic review·PMC10420952

Effect of Dietary Patterns on Inflammatory Bowel Disease: A Machine Learning Bibliometric and Visualization Analysis

Nutrients · 8 authors, 2 centres

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This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

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Analytical tools included CiteSpace, VOSviewer, the R bibliometrix package, and the OALM platform.

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Analytical tools included CiteSpace, VOSviewer, the R bibliometrix package, and the OALM platform. The study mapped publication trends, identifying two developmental stages divided by 2006, and profiled the most influential authors (Ghosh S. and Gasbarrini A.), countries (United States leading, China growing rapidly), and institutions (Harvard University ranked first). The authors concluded that a Mediterranean-like dietary pattern may benefit IBD patients, while carbohydrates, fatty acids, and inulin-type fructans are closely related to IBD. The study acknowledges that its scope is broad and can only summarize research hotspots and trends rather than specify existing research results.

STUDY TYPE

systematic_review

SPECIALTY

gastroenterology

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AI pipeline

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100% · A

ORIGINAL PAPER

PMC10420952

Effect of Dietary Patterns on Inflammatory Bowel Disease: A Machine Learning Bibliometric and Visualization Analysis

Nutrients

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ABSTRACT

Aims: This study aimed to analyze the related research on the influence of dietary patterns on IBD carried out over the past 30 years to obtain the context of the research field and to provide a scientific basis and guidance for the prevention and treatment of IBD. Methods: The literature on the effects of dietary patterns on inflammatory bowel disease published over the past three decades was retrieved from the Web of Science Core Collection (WoSCC) database. CiteSpace, VOSviewer, the R software (version 4.3.0) bibliometrix package, the OALM platform, and other tools were used for the analyses. Results: The growth of scientific papers related to this topic can be divided into two stages: before and after 2006. Overall, the growth of the relevant literature was in line with Price’s literature growth curve. Subrata Ghosh and Antonio Gasbarrini are the authors with the highest academic influence in the field, and Lee D.’s research results are widely recognized by researchers in this field. Among the 72 countries involved in the study, the United States contributed the most, while China developed rapidly with regard to research being carried out in this area. From a regional perspective, countries and institutions in North America, Europe, and East Asia have made the most significant contributions to this field and have the closest cooperation. Among the 1074 articles included in the study, the most influential ones tended to consider the mechanism of the effect of dietary patterns on IBD from the perspective of the microbiome. Multiple tools were used for keyword analysis and mutual verification. The results showed that NF-κB, the Mediterranean diet, fatty acids, fecal microbiota, etc., are the focus and trends of current research. Conclusions: A Mediterranean-like dietary pattern may be a good dietary habit for IBD patients. Carbohydrates, fatty acids, and inulin-type fructans are closely related to IBD. Fatty acid, gut microbiota, NF-κB, oxidative stress, and endoplasmic reticulum stress are the hot topics in the study of the effects of dietary patterns on IBD and will be emerging research trends.

CITATION EXPORT

Haodong He, Chuan Liu, Meilin Chen et al.. Effect of Dietary Patterns on Inflammatory Bowel Disease: A Machine Learning Bibliometric and Visualization Analysis. Nutrients. (2023). https://doi.org/10.3390/nu15153442

AUTHORS

8 · 2 CENTRES

Haodong He, Chuan Liu, Meilin Chen, Xingzhou Guo, Xiangyun Li, Zixuan Xiang, Fei Liao, Weiguo Dong

1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan 430060, China; [email protected] (H.H.); [email protected] (C.L.); [email protected] (M.C.); [email protected] (X.G.); [email protected] (X.L.); [email protected] (Z.X.)
2Wuhan University Shenzhen Research Institute, Wuhan 430060, China

EDITOR / REVIEWER

Rosa Casas, Camilla Fiorindi, Francesco Giudici