Visualization analysis of nutritional risk and intervention strategies in hospitalized patients based on the Web of Science database
10.3760/cma.j.cn115682-20241010-05541
- VernacularTitle:基于Web of Science的住院患者营养风险及干预策略的可视化分析
- Author:
Lijie ZHANG
1
;
Ying LU
;
Sai YANG
Author Information
1. 长江航运总医院 武汉脑科医院手术室，武汉 430015
- Publication Type:Journal Article
- Keywords:
Malnutrition;
Risk identification;
Visualization analysis;
CiteSpace
- From:
Chinese Journal of Modern Nursing
2025;31(18):2467-2472
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To retrieve and analyze research literature from the past five years on nutritional risk and intervention strategies for hospitalized patients, identify research hotspots, and provide reference for future clinical nutrition nursing studies.Methods:Literature related to nutritional risk identification and intervention strategies for hospitalized patients published between January 2020 and November 2024 was retrieved from the Web of Science Core Collection. CiteSpace software was used for bibiliometric and visualization analysis, including countries and institutions, leading researchers, and high-frequency keywords, with visual knowledge maps generated.Results:Chinese researchers published the most articles, with close collaboration among domestic authors. However, their betweenness centrality was lower compared to those from developed countries. Current international research focuses on topics such as head and neck cancer, enteral nutrition, aging, sarcopenia, chronic kidney disease, severe acute malnutrition, bariatric surgery, chronic obstructive pulmonary disease, and machine learning. Future research may focus on the Global Leadership Initiative on Malnutrition and the validation and application of the CONUT score.Conclusions:There is a need to develop more accurate and user-friendly nutritional screening tools. Incorporating emerging fields such as artificial intelligence may further enhance the effectiveness of clinical nutritional nursing interventions, ultimately improving care quality for hospitalized patients.
