慢性疼痛中枢调控网络的研究现状与思考＊

慢性疼痛是一种复杂的身心疾病，包括躯体痛觉异常、认知障碍、负性情绪等多个方面的改变，同时伴随着神经系统的功能以及结构的改变。本文将对慢性疼痛与下行疼痛调节通路、疼痛情感-认知调控网络以及中脑边缘奖赏网络的相关性，以及针刺镇痛的中枢机制相关研究文献进行综述，旨在探讨下行疼痛调节通路、疼痛情感-认知调控网络以及中脑边缘奖赏网络在慢痛发生机制中的作用，为临床治疗慢性疼痛类疾病提供更优势的治疗方案。     

基于CiteSpace的足三里穴研究可视化分析＊

目的 围绕足三里穴（ST36）进行文献可视化分析，探索近20年来有关足三里穴的研究进程、热点以及未来发展趋势。方法 以中国知网（CNKI）为数据来源，利用citespace软件对检索出的2000年1月至2021年11月收录的基础研究和临床研究文献分别进行可视化分析，绘制关键词、作者、机构相关图谱。结果 基础研究纳入1030篇文献，得到9个关键词聚类，电针中心度最高（0.53），发文量最多的作者是胡森（22篇），发文量最大的机构是北京中医药大学针灸推拿学院（23篇）。临床研究纳入2067篇文献，得到9个关键词聚类，穴位注射和针刺中心度最高（0.27），发文量最多的作者是张波（7篇），发文量最大的机构是浙江中医药大学附属第一医院（8篇）。结论 足三里穴在基础和临床的研究重点、热点和趋势不一致。并且在基础研究和临床研究之间，针刺镇痛、电针疗法、胃肠功能这三个内容是同步的，而关于代谢组学、穴位注射、温针灸和揿针的内容则是脱节的。     

Risk as a pattern over time: Delineation of time-dependent risk factors in biological,psychological, and social variables in cancer patients

Background

Survival in cancer patients is associated with a multitude of biological, social, and psychological factors. Although it is well established that all these factors add to overall mortality, it is not well understood how the predictive power of these parameters changes in a comprehensive model and over time.

Methods

Patients who attended the authors’ outpatient clinic were invited to participate. The authors followed 5180 mixed cancer patients (51.1% female; mean age, 59.1 years [SD = 13.8]) for up to 16 years and analyzed biological (age, sex, cancer site, anemia), psychological (anxiety, depression), and social variables (marital status, education, employment status) potentially predicting overall survival in a Cox proportional hazards model.

Results

The median survival time for the entire sample was 4.3 years (95% confidence interval, 4.0–4.7). The overall survival probabilities for 1 and 10 years were 76.8% and 38.0%, respectively. Following an empirical approach, the authors split the time interval into five periods: acute, subacute, short-term, medium-term, and long-term. A complex pattern of variables predicted overall survival differently in the five periods. Biological parameters were important throughout most of the time, social parameters were either time-independent predictors or tended to be more important in the longer term. Of the psychological parameters, only depression was a significant predictor and lost its predictive power in the long-term.

Conclusions

The findings of this study allow the development of comprehensive patient-specific models of risk and resilience factors addressing biopsychosocial needs of cancer patients, paving the way for a personalized treatment plan that goes beyond biomedical cancer care.