Skip to main content
Pain and Therapy logoLink to Pain and Therapy
. 2021 Jul 10;10(2):895–908. doi: 10.1007/s40122-021-00282-9

Spinal Cord Stimulation for Painful Diabetic Peripheral Neuropathy: A Systematic Review

Josianna V Henson 1, Narayana C Varhabhatla 1, Zvonimir Bebic 1, Alan D Kaye 3, R Jason Yong 2, Richard D Urman 2, Justin S Merkow 1,
PMCID: PMC8586096  PMID: 34244979

Abstract

Painful diabetic neuropathy is a common disease that results in significant pain and disability. Treatment options have traditionally consisted of conservative measures including topical and oral medication management as well as transcutaneous electrical stimulation units. These treatments demonstrate various degrees of efficacy, and many times initial treatments are discontinued, indicating low levels of satisfaction or poor tolerability. Spinal cord stimulation has been proposed as an alternative therapy for treatment of painful diabetic neuropathy of the lower extremities. We performed a systematic literature review to evaluate the safety and effectiveness of this procedure. A literature search identified 14 prospective studies. Based on our analysis of the available evidence, there is moderate-quality evidence for the safety and efficacy of spinal cord stimulation for painful diabetic neuropathy. However, further high-quality research, including a large-scale randomized controlled trial is warranted.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40122-021-00282-9.

Keywords: Diabetic peripheral neuropathy, Spinal cord stimulation, Peripheral neuropathy, Electric nerve stimulation, Neuromodulation, Diabetes, Neuropathic pain

Key Summary Points

It is estimated that 20% of the 34 million patients in the United States with diabetes will develop diabetic peripheral neuropathy (PDN).
Treatment has traditionally consisted of medication management, lifestyle modifications, and physical therapy modalities.
There is a growing body of evidence suggesting that spinal cord stimulation is a safe and effective treatment option for patients with diabetic peripheral neuropathy.
Although it is difficult to recommend specific selection criteria based on the literature, PDN patients treated with SCS seem to be older than 50, have diabetic-related pain greater than 5 years, have failed multiple neuropathic medications, and have an A1C less than 10.
Further high-quality studies are warranted to evaluate efficacy as well as clinical guidance regarding patient selection.

Digital Features

This article is published with digital features, including a summary slide to facilitate understanding of the article. To view digital features for this article go to https://doi.org/10.6084/m9.figshare.14785575.

Introduction

Thirty-four million people in the United States have currently been diagnosed with diabetes (10.5% of the US population), according to data from the Centers for Disease Control and Prevention. Additionally, there are 88 million people with pre-diabetes, which has resulted in $327 billion in health-care-related costs and lost productivity [1, 2]. It is estimated that 20% of patients with diabetes will develop painful diabetic neuropathy (PDN) [3].

Traditionally, patients suffering from PDN are first treated conservatively with medication management. The only treatments for PDN that are approved by the US Food and Drug Administration (FDA) are pregabalin, duloxetine, and tapentadol extended-release. Gabapentin is also commonly prescribed, as are tricyclic antidepressants, opioid analgesics, topical lidocaine, capsaicin cream, isosorbide dinitrate spray, and transcutaneous electrical nerve stimulation [4]. These treatments demonstrate various degrees of success, and many times initial treatments are discontinued, indicating low levels of satisfaction or poor tolerability [5].

Therefore, there exists a need to address the treatment gap for patients suffering from diabetic peripheral neuropathy that are getting incomplete relief from conservative treatment. Neuromodulation with spinal cord stimulation has the potential to address this gap. Spinal cord stimulation has been shown to result in significant pain relief in patients with debilitating neuropathic pain conditions such as failed back surgery syndrome and complex regional pain syndrome [69]. The neurophysiology of how spinal cord stimulation achieves pain relief is not completely understood [10]. Both tonic and paresthesia-free (including burst and high-frequency) stimulation are able to generate highly effective and clinically significant analgesia [1113]. There is a growing body of evidence in the literature that spinal cord stimulation is a safe and effective therapy for PDN. The goal of this review is to examine the evidence and outcomes related to spinal cord stimulation for painful diabetic peripheral neuropathy in order to further evaluate the safety and efficacy of these procedures.

Methods

This review was completed with the assistance of a research librarian at University of Colorado Strauss Health Sciences Library, Aurora, Colorado. The protocol was designed according to PRISMA guidelines. Relevant literature was identified in the following bibliographic databases: Ovid MEDLINE-ALL (Ovid 1946–current), Embase (Embase.com, 1974–current), and the Cochrane Library (Wiley). No year limits were applied to the searches. The search strategies are based on the concepts of diabetic peripheral neuropathy and spinal cord stimulation using multiple subject headings and text-word terms for each concept. The following keywords were included in the search: “diabetic”, “neuropathy”, “polyneuropathy”, “mononeuropathy”, “autonomic”, “neuralgia”, “PDN”, “peripheral diabetic”, “diabetic neuropathies”, “spinal”, “high-frequency”, “electrical stimulation”, “electric stimulation therapy”, “spinal cord stimulation”. Supplementary Material 1 shows the full search strategies for all bibliographic databases. Searches were conducted on January 26, 2021.

Discovery of appropriate subject headings involved examining how gold standard articles are indexed, by assessing matches made by the subject heading databases (such as matches to MeSH in Medline), and by using word analysis tools specifically PubMed PubReminer (https://hgserver2.amc.nl/cgi-bin/miner/miner2.cgi/) and TerMine (http://nactem.ac.uk/software/termine/) [14]. All retrieved records were managed with Endnote version 9.3, a citation management application, and with Covidence (www.covidence.org), a systematic review application.

Inclusion criteria for this review include randomized controlled trials (RCTs), retrospective, case-control, and prospective observational studies assessing spinal cord stimulation for PDN in both type 1 and type 2 diabetics who were 18 years old or older. Exclusion criteria included case reports, case series, historical articles, letters, review articles, foreign language studies, non-human studies, cadaver studies, or conference abstracts.

The citations identified were assessed for inclusion in the review using a multi-stage process. Initially, two reviewers (JM and NV) independently screened all study titles and abstracts identified by the electronic searches to identify the potentially relevant articles to be retrieved. Next, full-text copies of these studies were obtained and assessed independently by two reviewers for inclusion using the previously established inclusion criteria (JH and ZB). Any disagreements were resolved through discussion at each stage, and, if necessary, in consultation with a third reviewer (JM).

This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.

Quality Assessment

A risk-of-bias assessment was completed for all randomized control trials using the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2) [15]. Studies were assessed across multiple domains per the specifications of the RoB 2 tool. Studies found to have an overall high risk of bias were judged to be at high risk of bias in at least one domain or were judged to have some concerns for multiple domains. The prospective observational studies were not assessed with this tool, as they were considered to have an implicit risk of bias based on the nature of their study design. Results of this assessment are demonstrated in Fig. 2.

Fig. 2.

Fig. 2

Analysis of risk of bias using the Cochrane risk of bias 2 (RoB-2) tool

Results

Our initial search resulted in 443 references, which were imported for screening. Following full-text review, 14 studies were reviewed. Of these, there were three RCTs and 11 prospective observational studies. See Fig. 1 for PRISMA flow diagram. Table 1 shows the results of the studies and describes each study that was included in the review.

Fig. 1.

Fig. 1

PRISMA 2009 flow diagram [34]

Table 1.

Characteristics of studies included in the systematic review

Study Year Study design n Follow-up Allocation concealment Blinding Primary outcome Findings
Galan et al. (SENZA-PPN Study) [16] 2020

Prospective cohort study

Subgroup analysis

9 12 months Yes No Pain intensity using a Visual Analogue Scale Mean VAS scores decreased from 8.0 ± 1.2 cm at baseline to 2.0 ± 1.2 cm after 6 months and 2.1 ± 2.3 cm after 12 months of 10-kHz SCS. At the 6-month follow-up, seven of eight (87.5%) subjects were responders, defined by pain relief of 50% or more
van Beek et al. [17] 2018 Prospective cohort study 48 5 years No No Pain intensity using a Visual Analogue Scale After 1-year follow-up, NRS pain scores decreased from 6.7 to 3.8 (day) and 39 (night) (p < 0.001). 80% of patients with a permanent implant still used their device after 5 years
Denisova [18] 2016

Prospective cohort study

Subgroup analysis

4 6–18 months No No Pain intensity using a Visual Analogue Scale A VAS decrease of about 5 points was achieved in patients with diabetic neuropathy
Duarte et al. [19]** 2016 Multicenter randomized controlled trial 60 6 months Unknown No Quality-adjusted life years (QALY) Quality-adjusted life years, adjusted for baseline EQ-50 score, demonstrated a statistically significant difference in between SCS and conventional medical practice, respectively (0.258 vs. 0.178, p < 0.001)
Pluijms et al. [20] 2015 Prospective cohort study 15 12 months No No Pain intensity evaluated using an NRS-based pain diary SCS therapy was considered successful in 67% of patients at 12 months, as defined by > 50% decrease in pain intensity or a rating of pain being “much improved” or “completely resolved” on the Patients' Global Impression of Change (PGIC) survey. Responders were found to have increased dorsal forearm latency during contact heat evoked potential testing. The primary focus in this study was comparing responders vs. non-responders to SCS treatment based on sensory characteristics and small nerve fiber function
de Vos et al. [21] 2014 Multicenter randomized controlled trial 60 6 months Unknown No Percentage of patients with more that 50% pain reduction at 6 months of treatment A statistically significant number of patients in the SCS group achieved > 50% pain reduction at 6 months of treatment versus the control group (60 vs. 5%, p < 0.001). The average VAS score for pain intensity was significantly reduced at 6 months from baseline in the SCS group compared the control group: 73 to 31 in the SCS group (p < 0.001) vs. 67 to 67 in the control group (p = 0.97). The SF-MPQ and EuroWoL 5D questionnaires also showed reduced pain and improved health and quality of life after 6 months of treatment in the SCS group, and no significant change in the control group
Slangen [22] 2014 Multicenter randomized controlled trial 36 6 months Yes No Pain intensity using a Visual Analogue Scale Treatment success was observed in 59% of the SCS and in 7% of the best medical treatment group (p < 0.01). Pain and sleep were “very much improved” in 36% in the SCS group with no change in the best medical treatment group (p < 0.01 and p < 0.05)
De Vos [23] 2014

Prospective cohort study

Subgroup Analysis

12 2 weeks No No Pain intensity using a Visual Analogue Scale Burst stimulation resulted in a pain reduction of 44% in patients with PDN (p < 0.001). Average initial pain score was 70 prior to implantation, reduced to 28 with tonic stimulation, and reduced to 16 with 2 weeks of burst stimulation; 67% of patients had pain reduction with burst stimulation compared to tonic stimulation
Slangen et al. [24]* 2013 Prospective cohort study 15 36 months No No Pain intensity evaluated using an NRS-based pain diary 73, 55, and 64% of patients demonstrated > 50% pain relief at 12, 24, and 36 months, respectively. PGIC for pain revealed improvement in pain in 73, 27, and 36% of patients at 12, 24, and 36 months, respectively. An improvement in QoL was seen in 64% of patients at 12 months, 55% at 24 months, and 64% at 36 months
Pluijms et al. [25] 2012 Prospective cohort study 15 12 months No No Pain intensity evaluated using an NRS-based pain diary A clinically relevant (> 50%) reduction in pain was achieved in 8 patients at 2 weeks and 7 patients at 12 months. Improvements in EuroQoL utility score and quality of sleep were also demonstrated at 2 weeks and 12 months
de Vos [26] 2009 Prospective cohort study 11 30 months No No Pain intensity using a Visual Analogue Scale Average VAS was 77 at baseline and 34 at 6 months after implantation of SCS. Average VAS decreased to 23 at 12 months after implantation, and remained 23 at 30 months. Of the 9 patients implanted with an SCS, 5 experienced > 50% relief of neuropathic pain at 1 month. At 3 and 6 months, > 50% pain relief was experienced by 6 patients
Daousi [27] 2005 Prospective cohort study 8 3–7 years No No Pain intensity using a Visual Analogue Scale

There were 6 patients remaining in the cohort at 3 years, and all demonstrated > 50% improvement in pain relief while using the spinal cord stimulator. At 7-year follow-up, all of the four remaining patients reported sustained benefit

Improvement of McGill Pain Questionnaire scores were noted at 3- and 7-year follow-up, with results being statistically significant at 3 years (total score of 53 with stimulator off vs. 9.5 with stimulator on, p < 0.03)

Tesfaye [28] 1996 Prospective cohort study 10 14 months No No Pain intensity using a Visual Analogue Scale Eight of ten patients had a clinically significant reduction in VAS (p < 0.02). Seven of 10 patients had continued clinically significant reduction in pain at 3, 6 and 14 months (p = 0.016, 0.03, 0.06, respectively)
Kumar et al. [29] 1996

Prospective cohort study

Subgroup Analysis

4 12 months No No Pain intensity using a Visual Analogue Scale 4 patients demonstrated improvement in pain relief over the first 6 months, while 3 of the 4 patients reported continued pain relief after a year

*This is a 36-month follow-up of the Plujims et al. 2012 study

**This is presenting a re-analysis of data obtained from the DeVos 2014 study, in order to compare the quality-adjusted life years

Randomized Controlled Studies

de Vos et al. [21] performed the first multi-center randomized controlled trial analyzing the effectiveness of spinal cord stimulation in patients with PDN. Sixty patients with PDN of the lower extremities refractory to conventional medical therapy were randomized 2:1 to best conventional medical practice with spinal cord stimulation or without. Both groups were assessed at regular intervals over a 6-month period using the Euro-Qol 5d, short form McGill Pain Questionnaire (SF-MPQ) and a Visual Analogue Scale (VAS, ranging 0-100). The average VAS was 73 in the SCS group and 67 in the control group. After 6 months of treatment, the average VAS of the SCS group was reduced to 31 (p < 0.001) and was 67 (= 0.97) in the control group. Improvements in pain, health, and quality of life were also demonstrated in the SF-MPQ and the Euro-QoL 5d questionnaires. There were two adverse events related to the implantation procedure including pain due to the implanted pulse generator in two patients, as well as electrode lead migration in one patient. There was one infection during SCS trial, which resolved and was followed by a permanent implantation. One patient had previously undiagnosed coagulopathy, which complicated the implantation procedure and resulted in hospitalization; 95% of the patients in the SCS group might or would definitely recommend SCS treatment to other patients with PDN.

Slangen et al. also performed a multicenter randomized controlled trial in 36 patients with PDN of the lower limbs [22]. Twenty-two patients were randomly assigned to SCS in combination with best medical treatment while 14 were allocated to a best medical treatment group. Patients were followed over 6 months. Treatment success was defined as greater than 50% pain relief during daytime or nighttime, or “very much improved” for pain and sleep on the patient global impression of change (PGIC) scale at 6 months. Treatment success was achieved in 59% of the SCS and 7% of the best medical treatment group (< 0.05). The mean pain score on the NRS in the daytime was reduced by 3.1 points at 6 months in the SCS group as compared with no change in pain score in the control group (p < 0.001). One SCS patient died because of a subdural hematoma after dural puncture during trial. Another patient developed an infection that resulted in device removal.

Duarte et al. re-analyzed the data obtained from the DeVos 2014 study in order to analyze the difference in quality-adjusted life years (QUALYs) [19]. Once data was adjusted for imbalances in EQ-5D scores, SCS was associated with significantly higher QUALYs compared to conventional medical practice (0.258 vs. 0.178, p < 0.001).

Prospective Observational Studies

There were several high-quality observational studies with long-term outcomes. A study demonstrating long-term outcomes of therapy was published by vanBeek et al. in 2018 [17]. VanBeek followed 48 patients implanted with SCS for PDN over a 5-year period. Treatment success, defined as > 50% pain reduction on the NRS scale, was observed in 86% of patients after 1 year and 55% of patients after 5 years; 80% of patients with a permanent implant still used their device after 5 years. In terms of adverse events, two patients developed infections that led to device removal. Eight patients required one battery replacement and 5 patients required two battery replacements over 5 years. Four leads were damaged and replaced during the 5 years, and 5 leads needed to be repositioned to optimize paresthesia coverage. A study by Pluijms et al. of 15 patients demonstrated that 67% of patients experienced greater than 50% decrease in pain intensity at 12 months, while Slangen et al. demonstrated 73% of patients had greater than 50% decrease in pain intensity at 12 months (though this dropped to 36% of patients at 36 months) [20, 24]. Daousi et al. demonstrated continued (greater than 50%) pain relief in all patients remaining in their cohort after 7 years [27].

Risk of Bias Assessment

A risk-of-bias assessment was completed for all randomized control trials using the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2) [15]. Studies were assessed across multiple domains per the specifications of the RoB 2 tool (Fig. 2). These domains included assessment of bias arising from the randomization process, bias due to deviations from the intended intervention, bias due to missing outcome data, bias in measurement of the outcome, and bias in selection of the reported result. The article by de Vos et al. [21] was not found to have significant risk of bias due to randomization, deviation from intervention, or missing data. However, a risk of bias was determined to be present due the method of measurement of the outcome. This is because the study was not double-blinded to spinal cord stimulator device implantation. It also was found to have high risk of bias due to selection of the reported result. In this study, there were multiple eligible analysis of the data, and the primary outcome reported was selected by converting a continuously scaled outcome measurement (in this case, pain level on a visual analogue scale) to categorical data with a specific cutoff point (in this case, percent of patients with 50% improvement in pain). This confers a high risk of bias in the reported results. Because it had an increased risk of bias in two of the five domains, it was judged to have an overall high risk of bias. The article by Duarte et al. [19] was a re-analysis of de Vos study, and therefore was determined to have an elevated risk of bias for the same reasons.

The article by Slangen et al. [22] was similarly found to have an elevated risk of bias. Upon analysis with the RoB 2 tool, it was not found to have significant risk of bias due to randomization, deviation from intervention, or missing data. A risk of bias was determined to be present due the method of measurement of the outcome because the study was not double-blinded to spinal cord stimulator device implantation. It also was found to have high risk of bias due to selection of the reported result. In this study, there were multiple eligible analysis of the data, and the primary outcome reported was selected by converting a continuously scaled outcome measurement (in this case, Visual Analogue Scale) to categorical data with a specific cutoff point (in this case, percent of patients with 50% improvement in pain during daytime or nighttime or a response of “(very) much improved” for pain and sleep on the patient global impression of change scale at 6 months). This confers a high risk of bias in the reported results. Because it had an increased risk of bias in two of the five domains, it was judged to have an overall high risk of bias.

Discussion

A review of the current literature regarding spinal cord stimulation for painful diabetic neuropathy revealed 14 studies that met our inclusion criteria. Two of these studies were randomized controlled trials with 6-month follow-up [21, 22], one of these studies provided additional analysis of the randomized controlled trial quality of life data [19], and the remainder were prospective observational studies. In the two randomized controlled trials analyzed, there was a clinically and statistically significant improvement in lower extremity pain and quality of life in patients who received spinal cord stimulation therapy [19, 21, 22]. All observational studies examined also demonstrated significant improvement in pain (see Table 1).

In the randomized controlled trial by de Vos et al., the adverse events related to the implantation procedure included pain due to the implanted pulse generator, electrode lead migration, infection, and bleeding complication. Slangen et al. reported one case of infection, as well as one SCS patient death due to subdural hematoma after dural puncture during the trial. A full literature search was conducted by the authors, and this was determined to be a very rare complication of device placement (only one other, non-fatal case of subdural hematoma was reported in the literature [30]).

In both randomized controlled trials, patients were excluded if they had significant symptoms of PDN in the upper extremities, which is a natural progression of the disease. Therefore, it is unclear based on this data if SCS will be as effective for PDN of the upper extremities.

Our systematic review demonstrated a lack of high-quality long-term data regarding SCS for PDN. The duration of follow-up for both randomized controlled trials analyzed was only 6 months, which may not have been adequate to assess the long-term effectiveness of this therapy. However, there were several high-quality observational studies that demonstrated long-term success of the therapy. A prospective observational study by vanBeek demonstrated that the improvement in pain is sustained by the majority of patients at 5 years [17]. These results were comparable to other prospective studies on SCS in neuropathic pain conditions like CRPS-1 and FBSS [31, 32]. Limitations of this study included lack of randomization and relatively small sample size. Slangen et al. [24] also published long-term data, which demonstrated that 64% of patients demonstrated > 50% pain relief at 36 months.

All randomized controlled trials analyzed were determined to have a significant risk of bias (see Fig. 1). In these trials, no attempt was made to conceal the treatment arm to which each patient was allocated (trials were open-label). This introduced a significant risk of bias because outcomes in these studies are based on subjective patient-reported responses, and therefore could be significantly affected by lack of blinding.

In general, the observational studies analyzed in our systematic review echoed the results of the randomized controlled trials and generally support spinal cord stimulation for PDN. The most significant of these studies was a prospective cohort study conducted by van Beek et al. [17], which found that 55% of patients continued to demonstrate greater than 50% pain relief after 5 years of spinal cord stimulation use. This was consistent with the results of multiple other studies analyzed, which all demonstrated significant and sustained pain relief up to 7 years after initial implantation [16, 17, 20, 24].

At the time searches were conducted for this systematic review, Mekhail et al. [33] was conducting a multicenter randomized controlled trial of 216 subjects with PDN assigned to receive 10-kHz spinal cord stimulation versus conventional medical management (SENZA-PDN). This trial will have 24-month follow-up. It is expected that the results of this study will contribute significantly to the body of evidence regarding spinal cord stimulation for PDN.

Finally, although impossible to make conclusive statements based on this review in terms of which PDN patients may benefit most from spinal cord stimulation, there are some notable findings. For example, the majority of patients were over the age of 50 (mean age ranged from 51 to 59.9), were more likely to have type 2 diabetes vs. type 1 and had diabetes greater than 10 years (ranging from 12 to 17 years). Furthermore, patients tended to have diabetic related pain for greater than 5 years (mean 5–7 years) at the time of SCS placement. The majority of patients had tried and failed multiple neuropathic medications and had a VAS greater than 5. Although it was not consistently included in these studies, A1C for these patients did seem to be under 10. For example, in the RCT by Slangen et al. the mean A1C was 8.3 in the treatment group. Although it is difficult to extrapolate these observations, we can generally say that target patients seem to be older, have had painful diabetic neuropathy for many years, failed multiple medications, and did not have critically uncontrolled diabetes at the time of SCS placement. These observations may help with guidance in terms of when to consider SCS in painful diabetic peripheral neuropathy patients although further studies are needed for more definitive recommendations [16, 17, 1929].

There are several limitations to this review. First, there is significant heterogeneity in the studies and limited RCT data. Many of the studies included were observational in nature and have the inherent biases that come with these types of studies. That said, the observational studies did support the RCT findings and hence strengthen those results. There were also variable or unclear types of stimulation used in the studies. It is uncertain whether high frequency vs. low frequency vs. burst stimulation is superior, and this potential variation in efficacy could affect study findings. Finally, some of the observational studies did not clearly state statistical significance. We did include these studies, as we believe they still offered useful data and add to the overall findings.

In summary, treatment of PDN with SCS demonstrated success in several high-quality multi-center randomized controlled trials. Based on these results, spinal cord stimulation can be recommended for patients with refractory pain due to diabetic neuropathy. However, the risk of bias due to the unblinded design of the studies as well as the limited duration of follow-up is important to acknowledge, and patient’s expectations regarding duration of relief should be addressed prior to initiation of therapy.

Conclusions

Our review assessing spinal cord stimulation for peripheral diabetic neuropathy demonstrates evidence that it is an effective and safe option for treatment. However, further high-quality research, including a large-scale randomized controlled trial is warranted and would add to the current evidence.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

Funding

No funding or sponsorship was received for this study or publication of this article.

Authorship

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Authors’ Contributions

Josianna V. Henson, MD—Full text screening of studies, writing and editing the manuscript, creation of tables and figures. Narayana C. Varhabhatla, MD—Title and abstract screening, substantial edits to the manuscript. Zvonimir Bebic, MD—Full text screening of studies, substantial edits to the manuscript. Alan D. Kaye MD—Substantial edits and drafting of the manuscript. R. Jason Yong, MD—Substantial edits and drafting of the manuscript. Richard D. Urman, MD—Contributed to paper concept and design, substantial edits, and drafting of the manuscript. Justin S. Merkow, MD—Concept and design of the paper, title and abstract screening, resolution of conflicts to full text screening, substantial edits, and drafting of the manuscript.

Disclosures

Josianna V. Henson, MD, Narayana C. Varhabhatla, MD, Zvonimir Bebic, MD, Alan D. Kaye, MD, and Justin S. Merkow, MD have nothing to disclose. Dr. Urmans conflicts to Medtronic, Merck, Pfizer, and AcelRx. R. Jason Yong, MD—Consultant with Nevro, Medtronic, Abbot, and Endo Pharmaceuticals.

Compliance with Ethics Guidelines

This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.

References

  • 1.Prevention C for DC. National diabetes statistics report, 2017. Atlanta. 2017.
  • 2.Association AD. Economic costs of diabetes in the US in 2017. Diabetes Care. 2018;41(5):917–928. doi: 10.2337/dci18-0007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Schmader KE. Epidemiology and impact on quality of life of postherpetic neuralgia and painful diabetic neuropathy. Clin J Pain. 2002;18(6):350–354. doi: 10.1097/00002508-200211000-00002. [DOI] [PubMed] [Google Scholar]
  • 4.Snyder MJ, Gibbs LM, Lindsay TJ. Treating painful diabetic peripheral neuropathy: an update. Am Fam Physician. 2016;94(3):227–234. [PubMed] [Google Scholar]
  • 5.Yang M, Qian C, Liu Y. Suboptimal treatment of diabetic peripheral neuropathic pain in the United States. Pain Med. 2015;16(11):2075–2083. doi: 10.1111/pme.12845. [DOI] [PubMed] [Google Scholar]
  • 6.Kemler MA, Barendse GA, Van Kleef M, et al. Spinal cord stimulation in patients with chronic reflex sympathetic dystrophy. N Engl J Med. 2000;343(9):618–624. doi: 10.1056/NEJM200008313430904. [DOI] [PubMed] [Google Scholar]
  • 7.Kemler MA, De Vet HC, Barendse GA, Van den Wildenberg FA, Van Kleef M. Effect of spinal cord stimulation for chronic complex regional pain syndrome Type I: five-year final follow-up of patients in a randomized controlled trial. J Neurosurg. 2008;108(2):292–298. doi: 10.3171/JNS/2008/108/2/0292. [DOI] [PubMed] [Google Scholar]
  • 8.Kumar K, Taylor RS, Jacques L, et al. Spinal cord stimulation versus conventional medical management for neuropathic pain: a multicentre randomised controlled trial in patients with failed back surgery syndrome. Pain. 2007;132(1–2):179–188. doi: 10.1016/j.pain.2007.07.028. [DOI] [PubMed] [Google Scholar]
  • 9.North RB, Kumar K, Wallace MS, et al. Spinal cord stimulation versus re-operation in patients with failed back surgery syndrome: an international multicenter randomized controlled trial (EVIDENCE study) Neuromodulation Technol Neural Interface. 2011;14(4):330–336. doi: 10.1111/j.1525-1403.2011.00371.x. [DOI] [PubMed] [Google Scholar]
  • 10.Joosten EA, Franken G. Spinal cord stimulation in chronic neuropathic pain: mechanisms of action, new locations, new paradigms. Pain. 2020;161(1):S104. doi: 10.1097/j.pain.0000000000001854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Deer T, Slavin KV, Amirdelfan K, et al. Success using neuromodulation with BURST (SUNBURST) study: results from a prospective, randomized controlled trial using a novel burst waveform. Neuromodulation Technol Neural Interface. 2018;21(1):56–66. doi: 10.1111/ner.12698. [DOI] [PubMed] [Google Scholar]
  • 12.Kapural L, Yu C, Doust MW, et al. Novel 10-kHz high-frequency therapy (HF10 therapy) is superior to traditional low-frequency spinal cord stimulation for the treatment of chronic back and leg pain: the SENZA-RCT randomized controlled trial. Anesthesiology. 2015;123(4):851–860. doi: 10.1097/ALN.0000000000000774. [DOI] [PubMed] [Google Scholar]
  • 13.Thomson SJ, Tavakkolizadeh M, Love-Jones S, et al. Effects of rate on analgesia in kilohertz frequency spinal cord stimulation: results of the PROCO randomized controlled trial. Neuromodulation Technol Neural Interface. 2018;21(1):67–76. doi: 10.1111/ner.12746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Frantzi K, Ananiadou S, Mima H. Automatic recognition of multi-word terms: the c-value/nc-value method. Int J Digit Libr. 2000;3(2):115–130. doi: 10.1007/s007999900023. [DOI] [Google Scholar]
  • 15.Sterne JA, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. Bmj. 2019;366. [DOI] [PubMed]
  • 16.Galan V, Scowcroft J, Chang P, et al. 10-kHz spinal cord stimulation treatment for painful diabetic neuropathy: results from post-hoc analysis of the SENZA-PPN study. Pain Manag. 2020;10(5):291–300. doi: 10.2217/pmt-2020-0033. [DOI] [PubMed] [Google Scholar]
  • 17.van Beek M, Geurts JW, Slangen R, et al. Severity of neuropathy is associated with long-term spinal cord stimulation outcome in painful diabetic peripheral neuropathy: five-year follow-up of a prospective two-center clinical trial. Diabetes Care. 2018;41(1):32–38. doi: 10.2337/dc17-0983. [DOI] [PubMed] [Google Scholar]
  • 18.Denisova NP, Rogov DY, Rzaev DA, Khabarova EA, Dmitriev AB. Spinal cord stimulation in the treatment of chronic pain syndromes. Zh Vopr Neirokhir Im NN Burdenko. 2016;80(2):47–52. doi: 10.17116/neiro201680247-52. [DOI] [PubMed] [Google Scholar]
  • 19.Duarte RV, Andronis L, Lenders MW, de Vos CC. Quality of life increases in patients with painful diabetic neuropathy following treatment with spinal cord stimulation. Qual Life Res. 2016;25(7):1771–1777. doi: 10.1007/s11136-015-1211-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Pluijms WA, Slangen R, van Kleef M, Joosten EA, Reulen JP. Increased contact heat evoked potential stimulation latencies in responders to spinal cord stimulation for painful diabetic polyneuropathy. Neuromodulation Technol Neural Interface. 2015;18(2):126–132. doi: 10.1111/ner.12188. [DOI] [PubMed] [Google Scholar]
  • 21.de Vos CC, Meier K, Zaalberg PB et al. (2014) Spinal cord stimulation in patients with painful diabetic neuropathy: a multicentre randomized clinical trial. PAIN 155(11):2426–2431 [DOI] [PubMed]
  • 22.Slangen R, Schaper NC, Faber CG, et al. Spinal cord stimulation and pain relief in painful diabetic peripheral neuropathy: a prospective two-center randomized controlled trial. Diabetes Care. 2014;37(11):3016–3024. doi: 10.2337/dc14-0684. [DOI] [PubMed] [Google Scholar]
  • 23.de Vos CC, Bom MJ, Vanneste S, Lenders MW, De Ridder D. Burst spinal cord stimulation evaluated in patients with failed back surgery syndrome and painful diabetic neuropathy. Neuromodulation Technol Neural Interface. 2014;17(2):152–159. doi: 10.1111/ner.12116. [DOI] [PubMed] [Google Scholar]
  • 24.Slangen R, Pluijms WA, Faber CG, Dirksen CD, Kessels AGH, Van Kleef M. Sustained effect of spinal cord stimulation on pain and quality of life in painful diabetic peripheral neuropathy. Br J Anaesth. 2013;111(6):1030–1031. doi: 10.1093/bja/aet397. [DOI] [PubMed] [Google Scholar]
  • 25.Pluijms WA, Slangen R, Bakkers M, et al. Pain relief and quality-of-life improvement after spinal cord stimulation in painful diabetic polyneuropathy: a pilot study. Br J Anaesth. 2012;109(4):623–629. doi: 10.1093/bja/aes251. [DOI] [PubMed] [Google Scholar]
  • 26.de Vos CC, Rajan V, Steenbergen W, van der Aa HE, Buschman HP. Effect and safety of spinal cord stimulation for treatment of chronic pain caused by diabetic neuropathy. J Diabetes Complications. 2009;23(1):40–45. doi: 10.1016/j.jdiacomp.2007.08.002. [DOI] [PubMed] [Google Scholar]
  • 27.Daousi C, Benbow SJ, MacFarlane IA. Electrical spinal cord stimulation in the long-term treatment of chronic painful diabetic neuropathy. Diabet Med. 2005;22(4):393–398. doi: 10.1111/j.1464-5491.2004.01410.x. [DOI] [PubMed] [Google Scholar]
  • 28.Tesfaye S, Watt J, Benbow SJ, Pang KA, Miles J, MacFarlane IA. Electrical spinal-cord stimulation for painful diabetic peripheral neuropathy. Lancet. 1996;348(9043):1698–1701. doi: 10.1016/S0140-6736(96)02467-1. [DOI] [PubMed] [Google Scholar]
  • 29.Kumar K, Toth C, Nath RK. Spinal cord stimulation for chronic pain in peripheral neuropathy. Surg Neurol. 1996;46(4):363–369. doi: 10.1016/S0090-3019(96)00191-7. [DOI] [PubMed] [Google Scholar]
  • 30.Chiravuri S, Wasserman R, Chawla A, Haider N. Subdural hematoma following spinal cord stimulator implant. Pain Physician. 2008;11(1):97–101. doi: 10.36076/ppj.2008/11/97. [DOI] [PubMed] [Google Scholar]
  • 31.Geurts JW, Smits H, Kemler MA, Brunner F, Kessels AG, van Kleef M. Spinal cord stimulation for complex regional pain syndrome type I: a prospective cohort study with long-term follow-up. Neuromodulation Technol Neural Interface. 2013;16(6):523–529. doi: 10.1111/ner.12024. [DOI] [PubMed] [Google Scholar]
  • 32.Kumar K, Taylor RS, Jacques L, et al. The effects of spinal cord stimulation in neuropathic pain are sustained: a 24-month follow-up of the prospective randomized controlled multicenter trial of the effectiveness of spinal cord stimulation. Neurosurgery. 2008;63(4):762–770. doi: 10.1227/01.NEU.0000325731.46702.D9. [DOI] [PubMed] [Google Scholar]
  • 33.Mekhail NA, Argoff CE, Taylor RS, et al. High-frequency spinal cord stimulation at 10 kHz for the treatment of painful diabetic neuropathy: design of a multicenter, randomized controlled trial (SENZA-PDN) Trials. 2020;21(1):87. doi: 10.1186/s13063-019-4007-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Moher D, Liberati A, Tetzlaff J, Altman DG, Group P Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097. doi: 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from Pain and Therapy are provided here courtesy of Springer

RESOURCES