耐受性
医学
不利影响
随机对照试验
难治性抑郁症
肌痛
麻醉
萧条(经济学)
内科学
临床试验
随机化
荟萃分析
重性抑郁障碍
优势比
背景(考古学)
物理疗法
前瞻性队列研究
腹部外科
梅德林
可能性
严格标准化平均差
抑郁症状
疾病严重程度
意向治疗分析
神经调节
辅助治疗
作者
D. R. Bharadwaj,Suresh Aaditya,Shailja Singh,Neha Sharma,Jyothirmayi Kotipalli,Arogya Nadhudu Dovari,Swarndeep Singh,Brijesh Sathian,Sai Krishna Tikka
标识
DOI:10.1097/yct.0000000000001242
摘要
Low-field magnetic stimulation (LFMS) has shown promising results for treating depression in preclinical and clinical studies. No previous meta-analysis has investigated its effects on depression. The aim of this systematic review and meta-analysis is to identify, evaluate, and summarize the current evidence for the efficacy and tolerability of LFMS in patients with depressive disorder. PubMed, Embase, Scopus, and Google Scholar databases were systematically searched to identify eligible studies published until February 15, 2025. Review protocol was prospectively registered with PROSPERO (CRD420250650519). Meta-analyses using a random-effects model was conducted to calculate pooled estimates. Standardized mean difference (SMD) and odds ratio (OR) were calculated for continuous and categorical outcomes, respectively. Nine randomized controlled trials (RCTs) comprising 571 patients were analysed. Five RCTs (55.5%) had 'some concerns', and 2 (22.2%) had a 'high risk' of bias. A moderate treatment effect size (SMD=-0.61; 95% CI: -0.91 to -0.30; P <0.001) favouring LFMS for the treatment of depression compared with sham stimulation was obtained. LFMS was well-tolerated with no significant difference in the frequency of adverse events reported between LFMS and sham groups, except for a significantly higher risk of myalgia associated with LFMS (OR=2.69; 95% CI: 1.14-6.31, P =0.02). Certainty of evidence on GRADE was 'low' for the primary outcome. LFMS may be a safe and effective neuromodulation technique for adjunctive treatment of depression. There is a need to conduct more robust RCTs with larger sample sizes, longer follow-up durations, and standardized LFMS stimulation parameters to better characterize its safety and efficacy.
科研通智能强力驱动
Strongly Powered by AbleSci AI