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Cited by 375

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Spinal Cord Stimulation: Clinical Efficacy and Potential Mechanisms

Open access
Sdrulla, Andrei D., Guan, Yun, Raja, Srinivasa N.·2018·Pain Practice

Abstract

Spinal cord stimulation (SCS) is a minimally invasive therapy used for the treatment of chronic neuropathic pain. SCS is a safe and effective alternative to medications such as opioids, and multiple randomized controlled studies have demonstrated efficacy for difficult‐to‐treat neuropathic conditions such as failed back surgery syndrome. Conventional SCS is believed mediate pain relief via activation of dorsal column Aβ fibers, resulting in variable effects on sensory and pain thresholds, and measurable alterations in higher order cortical processing. Although potentiation of inhibition, as suggested by Wall and Melzack's gate control theory, continues to be the leading explanatory model, other segmental and supraspinal mechanisms have been described. Novel, non‐standard, stimulation waveforms such as high‐frequency and burst have been shown in some studies to be clinically superior to conventional SCS, however their mechanisms of action remain to be determined. Additional studies are needed, both mechanistic and clinical, to better understand optimal stimulation strategies for different neuropathic conditions, improve patient selection and optimize efficacy.

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Metadata

Authors
Sdrulla, A. D., Guan, Y., & Raja, S. N.
Venue
Pain Practice
Publisher
Wiley
Published
2018-04-23
Volume
18
Issue
8
Pages
1048-1067
ISSN
  • 1530-7085 (ISSN-L)
  • 1533-2500
OpenAlex
W2789281664
Cited by
375
References
155
FWCI
31.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Spinal Cord Stimulation: Clinical Efficacy and Potential Mechanisms. https://app.cochat.ai/papers/10.1111/papr.12692
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Sdrulla, A. D., Guan, Y., & Raja, S. N. (2018). Spinal Cord Stimulation: Clinical Efficacy and Potential Mechanisms. Pain Practice. https://doi.org/10.1111/papr.12692

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.