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1.
PLoS One ; 19(1): e0296439, 2024.
Article in English | MEDLINE | ID: mdl-38241273

ABSTRACT

Intracutaneous pyonex therapy (IPT), a novel acupuncture technique also known as intradermal thumbtack needle embedding therapy, has been reported to optimize postoperative pain management following perianal surgery. This meta-analysis aimed to analyze the efficacy of IPT for postoperative pain management following perianal surgery. The Cochrane Library, PubMed, EMBASE, Web of Science, CNKI, SinoMed, Wanfang, and VIP databases were systematically searched for randomized controlled trials (RCTs) on IPT as a treatment for postoperative pain management following perianal surgery from inception until June 15, 2022. The analyzed outcomes from the eleven RCTs included in this meta-analysis were as follows: postoperative visual analogue scale(VAS), analgesic duration, ineffective cases following treatment, and adverse events. Subgroup analyses were conducted according to different time points. Risk-of-bias assessment, publication bias analysis, sensitivity analysis, and trial sequential analysis were performed. Of the 895 patients, 450 and 445 were included in the IPT and control groups, respectively. The IPT group showed a better analgesic effect[standard mean difference (SMD) = -0.77, 95% CI: -1.00 to -0.53, P < 0.00001; P for heterogeneity = 0.009, I2 = 59%] and longer analgesic duration [SMD = 0.56, 95% CI: 0.31 to 0.82, P < 0.0001; P for heterogeneity = 0.6, I2 = 0%], fewer ineffective cases following treatment [risk ratio(RR) = 0.23; 95% CI: 0.13 to 0.39, P < 0.00001; P for heterogeneity = 0.76, I2 = 0%], and lower overall occurrence of postoperative complications [RR = 0.35; 95% CI: 0.17 to 0.70; P = 0.003; P for heterogeneity = 0.85, I2 = 0%] than the control group. Thus, our findings indicated that IPT can provide better pain management following perianal surgery compared to controls. This novel approach complements a reasonable modality for postoperative multimodal analgesia and is worth promoting.


Subject(s)
Pain, Postoperative , Humans , Analgesics , Pain Management , Pain, Postoperative/drug therapy , Pain, Postoperative/etiology , Postoperative Complications
2.
BMJ Open ; 13(11): e070371, 2023 11 23.
Article in English | MEDLINE | ID: mdl-37996225

ABSTRACT

INTRODUCTION: Intraperitoneal dexamethasone has been reported to be effective to reduce the incidence of postoperative nausea and vomiting (PONV). Therefore, this meta-analysis will analyse the efficacy and safety of intraperitoneal dexamethasone on PONV following laparoscopy. METHODS AND ANALYSIS: Electronic databases (eg, Cochrane Library, PubMed, Excerpta Medica Database, Web of Science, National Institute of Informatics, Oriental Medicine Advanced Searching Integrated System and China National Knowledge Infrastructure) and clinical trial registries will be systematically searched from their inception to 1 October 2022. After the study and data collection processes, we will identify randomised controlled trials that reported details of intraperitoneal dexamethasone on PONV following laparoscopy to conduct a meta-analysis. We will perform the study process and data collection separately. The collected data will be statistically analysed using Review Manager 5.4 software. The risk of bias will be assessed using the Cochrane risk-of-bias tool 2. The Grading of Recommendations Assessment, Development and Evaluation certainty assessment, and a trial sequential analysis will be conducted to ensure the accuracy of this meta-analysis. ETHICS AND DISSEMINATION: Ethical approval and patient consent are not required since this study is a systematic review and meta-analysis. The findings of this meta-analysis will be submitted to a peer-reviewed journal for publication. PROSPERO REGISTRATION NUMBER: CRD42022362924.


Subject(s)
Medicine, East Asian Traditional , Postoperative Nausea and Vomiting , Humans , Postoperative Nausea and Vomiting/prevention & control , Systematic Reviews as Topic , Meta-Analysis as Topic , Dexamethasone/adverse effects , Randomized Controlled Trials as Topic
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