This systematic review was conducted according to the current recommendations of the Cochrane Collaboration,18 and it is reported following the PRISMA guidelines.19
Search strategy and study selection
We conducted a search of the literature until April 24, 2014. The following three databases were searched: EMBASE™, 1947-April 24, 2014; MEDLINE®, 1946-April week 3, 2014; and MEDLINE In-Process & Other Non-Indexed Citations, April 24, 2014 (all using the OvidSP platform). For EMBASE and MEDLINE, controlled vocabulary terms (EMBASE – Emtree; MEDLINE – MeSH) and text word searching were conducted for each of the following search segments: peripheral pain + neuropathic pain (peripheral) + steroids + injections. Each search was limited to English language and human subjects. We applied a highly sensitive search strategy to identify studies.20 Details of our search strategy are provided in the Appendix.
We also searched the Cochrane central register of controlled trials, Cochrane database of systematic reviews, Google Scholar (first 200 hits), and proceedings of the annual meetings of anesthesiology and pain societies (American Society of Anesthesiologists, European Society of Anaesthesiology, International Association for the Study of Pain, American Society of Regional Anesthesia and Pain Medicine, European Society of Regional Anaesthesia & Pain Therapy, and World Institute of Pain) in the last two years. We also searched for randomized controlled trials (RCTs) in the metaRegister of Controlled Trials (includes ClinicalTrials.gov). Only studies in English were included because most scales for diagnosing and measuring NP have been validated solely in this language.
We completed the search by reviewing the bibliographies of every selected article for possible additional articles that had not been retrieved by the search. Two authors (A.B. and D.F.) independently evaluated titles, abstracts, and full texts according to the inclusion criteria. All instances of discord were discussed between the investigators to reach a consensus.
Participants
Inclusion criteria were: (i) age ≥ 18 yr; (ii) chronic (≥ 3 months) peripheral (including peripheral part of cranial nerves) NP of moderate-to-severe intensity (> 3 on a 0-10 numerical rating scale for pain) diagnosed on the basis of symptoms, signs, or validated scales for NP or a combination of the three; (iii) etiology of peripheral NP was compression and/or trauma related; and (iv) received injections in the vicinity of the neural pathology using anatomic landmarks, nerve stimulation, or ultrasound guidance.
Intervention and comparator
We included studies in which participants received at least one injection of perineural steroids for NP compared with no injection (i.e., CMM) or LA or placebo (saline) injections. Conventional medical management included medications (antidepressants, anticonvulsants, anti-inflammatories, opioids) and other modalities (e.g., physiotherapy) recommended for treatment of NP. Steroids considered for this review included methylprednisolone, dexamethasone, betamethasone, triamcinolone, or any other intermediate-to-long-acting steroids. We did not impose restrictions on dose of steroids or number of injections. In studies with additional cohorts comparing combinations of perineural steroids with LA, we attempted to extract the data for the comparison between steroids and LA. We excluded studies of other perineural adjuvants (e.g., botulinum toxin, clonidine, cytokine antagonists) from our analysis and studies using topical application of steroids. We also excluded trials on neuromodulation (central or peripheral), cryotherapy, radiofrequency (pulsed or ablation), or other surgical modalities (nerve release or neurectomy) for the treatment of peripheral NP.
Outcomes
The primary outcome was pain at one to three months after the intervention expressed on a NRS (0 = no pain to 10 = worst possible pain). Intensity scores reported on a visual analogue scale (VAS; 0 = no pain to 100 = worst possible pain) were transformed to a 0-10 NRS. The secondary outcomes considered at one to three months after the intervention were: anxiety, depression, quality of life (all measured on validated scales, e.g., SF-36®, EQ-5D™), overall patient satisfaction, and number of patients with steroid-related adverse events (infection, hyperglycemia, osteoporosis or fractures, psychosis, muscle wasting, dermatological signs) or complications related to the injection (hematoma formation, injury to or penetration of anatomical structures in the vicinity of the nerve).
Risk of bias assessment
The risk of bias among included studies was evaluated using the Cochrane Collaboration tool for assessing risk of bias.18 This tool assesses bias in the following domains: generation of allocation sequence, allocation concealment, blinding of investigators and participants, blinding of outcome assessors, and incomplete outcome data. Each item was classified as low, unclear, or high risk of bias. A decision to classify “overall bias” as low/unclear/high was made depending on the trend of the majority of the domains. We also intended to use a funnel plot and an assessment of its asymmetry to assess publication biases (citation bias, selective outcome reporting) if a sufficient number of studies were available for meta-analysis.
Data extraction
The reference data, populations, and outcomes were then extracted from the articles into pre-specified tables. The two authors (A.B. and D.F.) used a standardized data extraction procedure. The data collection form was pilot-tested prior to its use. We extracted information on the studies’ general characteristics (including design, number of arms, and primary outcome), participants (population characteristics, sample size, and etiology of NP), and experimental intervention (type of steroid, doses, and administration regime). Dichotomous outcomes were extracted as the presence or absence of a therapeutic or adverse effect. For continuous data, we extracted means and standard deviations (SDs). If not reported, the SDs were obtained from confidence intervals (CI) or P values that related to the differences between means in the two groups.21
Data synthesis and analysis
We expected heterogeneity (because of the diverse populations and doses of steroids included), and therefore, we used DerSimonian and Laird random effects meta-analysis models.22 Heterogeneity was assessed with the Q test, and the Higgins I
2 statistic was used to quantify heterogeneity (I
2 > 50% indicates substantial heterogeneity). The estimated mean effect of each study was calculated with the respective 95% CI, and the pooled effect was then assessed. An investigation of the sources of heterogeneity was based on an analysis of pre-specified subgroups. The definition of the subgroups included: type of nerve, level of steroid dose (high vs low; low was defined as a methylprednisolone dose of up to 40 mg or an equipotent dose of another steroid), and quality of trials. Subgroup analysis for type of nerve was performed because median nerve compression (carpal tunnel syndrome) tends to cause milder symptoms of NP (usually dysesthesia vs allodynia or hyperalgesia).23 Thus, patients with compression of this nerve may have some unique characteristics that are different when compared with patients with neuropathic syndromes due to trauma or compression of other peripheral nerves. After inspection of results, we performed a post hoc subgroup analysis to compare the outcomes of trials in which the primary outcome was reported early (within the first two months of intervention) vs late (at three months after the intervention), because the efficacy of steroids tends to wane with time. We also decided to perform a post hoc sensitivity analysis on the primary outcome measure by evaluating the impact of removing one trial with a strongly positive result in favour of steroids. All statistical analyses were performed with Review Manager (RevMan version 5.2.5; The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Denmark).
Quality of evidence
The quality of evidence for the primary outcome was assessed with GRADE (Grading of Recommendations, Assessment, Development and Evaluation) methodology.24 Quality of evidence was classified as high, moderate, low, or very low for each outcome based on risk of bias, inconsistency, indirectness, imprecision, and other considerations (publication bias). A summary table was constructed with GRADEpro version 3.6 (http://www.guidelinedevelopment.org/; Evidence Prime Inc., Hamilton, ON, Canada).