Welcome to PsychiatryAI.com: [PubMed] - Psychiatry AI Latest

Optimal Frequency in rTMS for the Management of Chronic Pain: A Network Meta-Analysis of Randomized Controlled Trials

Evidence

World Neurosurg. 2024 Jan 5:S1878-8750(24)00021-4. doi: 10.1016/j.wneu.2024.01.010. Online ahead of print.

ABSTRACT

INTRODUCTION: RTMS has been shown to be effective for pain modulation in a variety of pathological conditions causing neuropathic pain. The purpose of this study is to conduct a network meta-analysis (NMA) of randomized control trials to identify the most optimal frequency required to achieve chronic pain modulation using rTMS.

METHODS: A comprehensive search was conducted in electronic databases to identify randomized controlled trials investigating the efficacy of rTMS for chronic pain management. A total of 24 studies met the inclusion criteria, and a network meta-analysis was conducted to identify the most effective rTMS frequency for chronic pain management.

RESULTS: Our analysis revealed that high frequency rTMS (20 Hz) was the most effective frequency for chronic pain modulation. Patients treated with 20 Hz had lower pain levels than those treated at 5 Hz (MD = -3.11 (95% CI: -5.61 – -0.61), p = 0.032), and control (MD = -1.99 (95% CI: -3.11 – -0.88), p = 0.023). Similarly, treatment with 10 Hz had lower pain levels compared to 5 Hz (MD = -2.56 (95% CI: -5.05 – -0.07), p = 0.045), and control (MD = -1.44 (95% CI: -2.52 – -0.36), p = 0.031). 20 Hz and 10 Hz were not statistically different.

DISCUSSION: This network meta-analysis suggests that high frequency rTMS (20 Hz) is the most optimal frequency for chronic pain modulation. These findings have important clinical implications and can guide healthcare professionals in selecting the most effective frequency for rTMS treatment in patients with chronic pain.

PMID:38185460 | DOI:10.1016/j.wneu.2024.01.010

Document this CPD Copy URL Button

Google

Google Keep

LinkedIn Share Share on Linkedin

Estimated reading time: 4 minute(s)

Latest: Psychiatryai.com #RAISR4D Evidence

Cool Evidence: Engaging Young People and Students in Real-World Evidence

Real-Time Evidence Search [Psychiatry]

AI Research

Optimal Frequency in rTMS for the Management of Chronic Pain: A Network Meta-Analysis of Randomized Controlled Trials

Copy WordPress Title

🌐 90 Days

Evidence Blueprint

Optimal Frequency in rTMS for the Management of Chronic Pain: A Network Meta-Analysis of Randomized Controlled Trials

QR Code

☊ AI-Driven Related Evidence Nodes

(recent articles with at least 5 words in title)

More Evidence

Optimal Frequency in rTMS for the Management of Chronic Pain: A Network Meta-Analysis of Randomized Controlled Trials

🌐 365 Days

Floating Tab
close chatgpt icon
ChatGPT

Enter your request.

Psychiatry AI RAISR 4D System Psychiatry + Mental Health