[Experts consensus on standard items of the cohort construction and quality control of temporomandibular joint diseases (2024)].

颞下颌关节 质量(理念) 队列 控制(管理) 医学 接头(建筑物) 计算机科学 牙科 口腔正畸科 工程类 人工智能 病理 土木工程 哲学 认识论
作者
Min Hu,Chi Yang,H H Liu,Haixia Lu,Yao Chen,Qiufei Xie,Y J Chen,Kai‐Yuan Fu,Bin Fang,Shiliu Zhu,Q.-J. Zhou,Zhen‐Yu Chen,Yanbin Zhu,Q B Zhang,Yuwei Yan,Xing Long,Zhuyong Li,Ye-Hua Gan,S. Yu,Yulong Bai,Yuan Zhang,Yueying Wang,Jie Lei,Yong Cheng,C K Liu,Yiwei Cao,Dongmei He,Ning Wen,S Y Zhang,Minjie Chen,Jiao Guoliang,Xiaojun Liu,Hua Jiang,Yang He,Pei Shen,H. Huang,Yunfeng Li,Jisi Zheng,J. Guo,Lijun Zhao,L Q Xu
出处
期刊:PubMed 卷期号:59 (10): 977-987
标识
DOI:10.3760/cma.j.cn112144-20240725-00293
摘要

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients'suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.
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