Implantable Peripheral Nerve Stimulation for Peripheral Neuropathic Pain: A Systematic Review of Prospective Studies.
Steven CharMax Y JinVinicius Tieppo FrancioNasir HussainEric Jyun-Han WangMahmoud MorsiVwaire OrhurhuLarry J ProkopAdam FinkRyan Steven D'SouzaPublished in: Biomedicines (2022)
Peripheral nerve stimulation (PNS) has been utilized for over 50 years with accumulating evidence of efficacy in a variety of chronic pain conditions. The level and strength of evidence supporting the use of PNS for peripheral neuropathic pain remains unclear. The purpose of this review is to synthesize data from prospective studies on the efficacy of PNS for neuropathic pain as it pertains to pain intensity, neurological deficits/neuropathy (e.g., weakness, sensory deficits, gait/balance), and other secondary outcomes (quality of life, satisfaction, emotional functioning, and adverse events). In compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, this review identified articles from MEDLINE(R), EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus. Overall, per the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria, pooled results demonstrate very low quality or low quality of evidence supporting modest to substantial improvement in pain and neurological function after PNS implantation for treatment of peripheral neuropathic pain. PNS for phantom limb pain was the only indication that had moderate level evidence. Future prospective and well-powered studies are warranted to assess the efficacy of PNS for peripheral neuropathic pain.
Keyphrases
- neuropathic pain
- peripheral nerve
- spinal cord
- meta analyses
- spinal cord injury
- chronic pain
- systematic review
- traumatic brain injury
- chemotherapy induced
- case control
- randomized controlled trial
- pain management
- clinical practice
- clinical trial
- high intensity
- computed tomography
- magnetic resonance imaging
- brain injury
- metabolic syndrome
- big data
- deep learning
- insulin resistance
- contrast enhanced
- glycemic control
- smoking cessation
- postoperative pain