A scoping review of latent class trajectory analysis of glucose metabolism indicators in patients with diabetes mellitus
10.3761/j.issn.0254-1769.2025.04.017
- VernacularTitle:糖尿病患者糖代谢指标潜类别轨迹分析的范围综述
- Author:
Hongxia ZHUO
1
;
Yujie LEI
;
Bin OUYANG
;
Jingcan XU
;
Shuyi PENG
;
Huiwu HAN
Author Information
1. 410008 长沙市 中南大学湘雅医院临床护理学教研室
- Publication Type:Journal Article
- Keywords:
Diabetes Mellitus;
Hemoglobin;
Fasting Plasma Glucose;
Latent Class Trajectory Analysis;
Latent Class Growth Model;
Scoping Review;
Nursing Care
- From:
Chinese Journal of Nursing
2025;60(4):499-506
- CountryChina
- Language:Chinese
-
Abstract:
Objective To conduct a scoping review of studies related to latent class trajectory analysis of glucose metabolism indicators in diabetes mellitus patients,so as to clarify the method of latent category trajectory analysis,evaluation indicators and the changing trajectories of different glucose metabolism indicators in diabetes mellitus patients,and to establish foundation for diabetes management and research.Methods Based on Arksey's framework for scoping study,a literature search was performed in CNKI,Wanfang,CBM,Web of Science,PubMed,Embase,Cochrane Library,CINAHL database inception to January 28,2024.Totally 2 researchers independently screened the literature and extracted data.Results A total of 22 pieces of the literature were included.Latent class growth model was the most commonly used model in latent class trajectory analysis,and 4 softwares are available for implementation.The current evaluation indicators for trajectory results are various,with the Bayesian information criterion and average posterior probability as the most frequently utilized.Hemoglobin is the most commonly used glucose metabolism indicators for trajectory analysis,and the number of identified trajectories ranged from 2 to 5.Most studies showed that diabetic patients exhibited a"low-stable"pattern in glucose metabolism indicators.Conclusion Latent class trajectory analysis represents a novel longitudinal data analysis approach that can identify potential subgroups of diabetic patients with similar development trajectory.The models and evaluation indicators employed are diverse,and the stability test of the models can be enhanced in the future.Through trajectory identification,it is recommended that clinical staff pay greater attention to the longitudinal trend of the glucose metabolism indicators and incorporate it into the long-term blood glucose management goal of diabetic patients.
