[A systematic review and Bayesian network meta-analysis of the effectiveness of non-pharmacological interventions in treating chronic wound pain in patients].

C Y Fu, N Li, M J Li, H S Li, L Cheng, L H Wang
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Abstract

Objective: To evaluate the effectiveness of non-pharmacological interventions in treating chronic wound pain in patients. Methods: This study was a systematic review and Bayesian network meta-analysis. Randomized controlled trials on the effectiveness of non-pharmacological interventions in treating chronic wound pain in patients, published from the establishment of the database until June 30, 2024, were retrieved from databases including China National Knowledge Infrastructure, Chinese Biomedical Literature Database, PubMed, Embase, and other databases. The outcome indicator was pain score. Pairwise meta-analysis and Bayesian network meta-analysis were conducted using ADDIS version 1.16.8 and Stata version 17.0 statistical softwares. Results: A total of 30 studies were included, involving 1 929 patients, including 1 016 patients in experimental group who received non-pharmacological intervention measures such as low-level laser therapy (LLLT), frequency rhythmic electrical modulation system (FREMS), virtual reality technology (VRT), non-contact low-frequency ultrasound (NCLFU), extracorporeal shock wave therapy, topical oxygen therapy, cold atmosphere plasma (CAP), negative pressure wound therapy, intermittent pneumatic compression (IPC), and exercise, and 913 patients in control group who received standard wound care, placebo treatment, etc. Pairwise meta-analysis showed that compared with that of control group, patients in experimental group who received LLLT, FREMS, VRT, NCLFU, CAP, and IPC had significantly reduced chronic wound pain scores (with standardized mean differences of -0.45, -4.09, -1.04, -0.61, -1.87, and -0.64, respectively, 95% confidence intervals of -0.76 to -0.15, -5.94 to -2.24, -1.56 to -0.52, -0.88 to -0.33, -3.16 to -0.58, and -1.03 to -0.25, respectively). Bayesian network meta-analysis showed that compared with that of standard wound care, patients who received FREMS, CAP, NCLFU, and LLLT had significantly reduced chronic wound pain scores (with standardized mean differences of -3.13, -1.75, -1.22, and -1.11, respectively, 95% confidence intervals of -4.35 to -1.98, -3.23 to -0.26, -2.36 to -0.06, and -2.18 to -0.06, respectively). FREMS had the highest probability of ranking 14th, at 75%; the probability of CAP ranking 12th was the highest, at 21%; the probability of NCLFU ranking 10th and 9th was the highest, both at 13%; LLLT had the highest probability of ranking 8th, at 14%. Conclusions: Non-pharmacological intervention measures such as LLLT, FREMS, NCLFU, and CAP can effectively relieve chronic wound pain in patients, among which, FREMS shows the best effect, followed sequentially by CAP, NCLFU, and LLLT.

[非药物干预治疗慢性伤口疼痛有效性的系统回顾和贝叶斯网络meta分析]。
目的:评价非药物干预治疗慢性创面疼痛的效果。方法:采用系统评价和贝叶斯网络元分析方法。从数据库建立至2024年6月30日发表的非药物干预治疗慢性伤口疼痛患者有效性的随机对照试验,检索自中国国家知识基础设施、中国生物医学文献数据库、PubMed、Embase等数据库。结局指标为疼痛评分。采用ADDIS 1.16.8版和Stata 17.0版统计软件进行两两元分析和贝叶斯网络元分析。结果:共纳入30项研究,共纳入1 929例患者,其中实验组1 016例患者接受低水平激光治疗(LLLT)、频率节律性电调制系统(FREMS)、虚拟现实技术(VRT)、非接触低频超声(NCLFU)、体外冲击波治疗、局部氧治疗、冷大气等离子体(CAP)、负压伤口治疗、对照组913例患者接受标准创面护理、安慰剂等治疗。两两荟萃分析显示,实验组患者接受LLLT、FREMS、VRT、NCLFU、CAP和IPC治疗后,伤口慢性疼痛评分与对照组相比显著降低(标准化平均差异分别为-0.45、-4.09、-1.04、-0.61、-1.87和-0.64,95%可信区间分别为-0.76 ~ -0.15、-5.94 ~ -2.24、-1.56 ~ -0.52、-0.88 ~ -0.33、-3.16 ~ -0.58和-1.03 ~ -0.25)。贝叶斯网络荟萃分析显示,与标准伤口护理相比,接受FREMS、CAP、NCLFU和LLLT的患者伤口慢性疼痛评分显著降低(标准化平均差异分别为-3.13、-1.75、-1.22和-1.11,95%可信区间分别为-4.35 ~ -1.98、-3.23 ~ -0.26、-2.36 ~ -0.06和-2.18 ~ -0.06)。FREMS排名第14位的概率最高,为75%;CAP排名第12位的概率最高,为21%;NCLFU排名第10和第9的概率最高,均为13%;LLLT排名第八的概率最高,为14%。结论:LLLT、FREMS、NCLFU、CAP等非药物干预措施均能有效缓解患者的慢性伤口疼痛,其中FREMS效果最佳,CAP、NCLFU、LLLT效果次之。
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