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  • Open Access

28 November 2019

Pharmacologic and Non-Pharmacologic Interventions for HIV-Neuropathy Pain. A Systematic Review and a Meta-Analysis

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1
Anaesthesiology Department, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Medical School, 54124 Thessaloniki, Greece
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Department of Pharmacology & Clinical Pharmacology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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3rd Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Medical School, 54124 Thessaloniki, Greece
4
Intensive Care Unit, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Medical School, 54124 Thessaloniki, Greece

Abstract

Background and Objectives: Among HIV infection symptoms, sensory neuropathy (HIV-SN) remains a main cause of suffering, with incidence varying from 13–50%. So far, numerous pharmacological and non-pharmacological treatments have been tested, although few evidence-based analgesic options are available. We conducted an up-to-date systematic review and meta-analysis of the literature in order to evaluate the efficacy and safety of pharmacologic and non-pharmacologic treatments for pain control, in patients with HIV neuropathy. Materials and Methods: We searched MEDLINE, EMBASE, Scopus/Elsevier, The Cochrane Central Register of Controlled Trials (CENTRAL), USA Clinical Trials registry, and The International Web of Science up to April 2019. All randomized controlled trials evaluating efficacy and safety of non-pharmacologic and pharmacologic therapies were included. Efficacy was defined as pain reduction during the study period. Safety was estimated from adverse events. A meta-analysis was performed whenever possible. Results: 27 randomized controlled trials (RCTs) were included for analysis (7 evaluating non pharmacologic interventions, 20 pharmacologic therapies). Non-pharmacologic studies (n = 742) involved seven different therapeutic modalities. Only Acupuncture/Moxibustion showed pain reduction over placebo, Gracely Pain Scale Mean (SD): Acu/Moxa 0.85 (0.12), placebo 1.10 (0.09), p = 0.05. Pharmacologic studies, involving 2516 patients revealed efficacy for capsaicin 8% over placebo (mean difference −8.04 [95% CI: −14.92 −1.15], smoked cannabis (where pooling data for meta-analysis was not possible) and recombinant Nerve Growth Factor. Conclusion: Despite various modalities for pain control in HIV-SN, strongest evidence exists for capsaicin 8% and smoked cannabis, although of low methodological quality. Among non-pharmacologic modalities, only Acu/Moxa gave a marginal beneficial effect in one study, possibly limited by inherent methodological flaws.

1. Introduction

Among the broad spectrum of HIV infection symptoms, HIV sensory neuropathy (HIV-SN) remains one of the main causes of suffering, having subsequent impact on quality of life of these patients [1]. It has been estimated that up to one-third of HIV infected individuals suffer from HIV-SN [2], with incidence varying from 13% to up to 50% [3,4], primarily due to different diagnostic criteria [2,3]. HIV-SN is presented as distal symmetrical axonal, sensory polyneuropathy that primarily affects the feet, but it may also affect more proximal sites as well as the hands. While some of them are manifestations of the classic distal polyneuropathy, due to direct effect of HIV infection, others are caused by neuropathy due to antiretroviral therapy (ART), especially nucleoside analogue reverse-transcriptase inhibitors (NRTIs). Despite the fact that the two forms of neuropathy are caused by different pathophysiologic mechanisms [4], they share common and often indistinguishable clinical characteristics.
The main clinical characteristics of HIV associated polyneuropathy include pain, distal symmetrical burning sensation, paraesthesias, cramping in legs, muscle weakness, and increased fatigue. This kind of impairments may lead to psychological dysfunction, reduced quality of life and poor mobility. According to the literature, several therapies have been tested for palliative care that include analgesics, gabapentinoids, tricyclic antidepressants, membrane stabilizing factors, and non-pharmacological therapies as well. As distal symmetrical polyneuropathy has a negative impact on patients’ quality of life there is a great need to find effective pharmacological approaches to alleviate symptoms and manage pain.
Data regarding the exact prevalence of painful neuropathy among HIV patients are also quite variable in the literature. Evaluating pain syndrome in ambulatory AIDS patients, Hewitt et al. reported a 28% incidence of pain due to polyneuropathy among participants [5] Another study conducted by Tagliati et al. [6], found distal pain present in 38% among patients with distal polyneuropathy. In a more recent study, Adoukonou et al. revealed the presence of pain in 23.4% of patients [7], while other studies report painful symptoms in up to 75% of HIV-SN participants [8]. Pain is associated with depression and poor quality of life [1,9,10,11]. Depression seems to be associated with greater pain intensity [1,12].
Despite the high prevalence of painful neuropathy in patients living with HIV, pain is still undertreated [12,13]. Numerous pharmacological and non-pharmacological treatments have been used for alleviation of symptoms, although few evidence-based analgesic options for HIV-SN are available, based on clinical data [14]. A systematic review and meta-analysis of pharmacologic treatments conducted by Phillips et al. in 2010 showed evidence of efficacy only for capsaicin 8%, smoked cannabis and recombinant human nerve growth factor (rhNGF) [15].
During the time period from 2010 till know new randomized trials have been published examining the efficacy of various pharmacologic treatments [16,17] Furthermore studies on non-pharmacological treatments for HIV painful neuropathy are often seen in the literature. From this perspective, we conducted a systematic review and meta-analysis of the literature in order to evaluate the efficacy and safety of various pharmacologic and non-pharmacologic treatments in the alleviation of painful symptoms in patients with HIV neuropathy. The study included all published randomized studies comparing therapies with no therapies or with other therapies. This review examines the hypotheses that 1. The use of pharmacologic and non-pharmacologic interventions is effective in neuropathic pain alleviation, which characterize HIV-neuropathy. 2. Examined interventions are able to achieve meaningful improvement of painful symptoms, as defined by IMMPACT recommendations for the evaluation of reduction in pain [18] 3. The examined interventions are safe.

2. Methods

2.1. Protocol and Registration

Following the recommendations of the PRISMA statement for reporting Systematic Reviews and Meta-analyses, we conduct this systematic review and meta-analysis for studies examining the efficacy and safety of pharmacologic and non-pharmacologic treatments for painful HIV-sensory neuropathy [19]. The reviewing process was followed a specific predetermined protocol. The protocol can be accessed at PROSPERO, with registration number CRD42018084887 (https://www.crd.york.ac.uk/prospero/#searchadvanced). (Figure 1.)
Figure 1. Flow diagram of the Study for the Systematic Review and Meta-analysis process [1].

2.2. Eligibility Criteria

Types of studies: Only randomized controlled trials (RCTs), studying pharmacologic and non-pharmacologic treatments for the management of painful HIV-neuropathy, were considered eligible for inclusion without any language or publication date restriction. Animal studies, reviews, letters, abstract-only trials, open-label trials, and trials that were not randomized were excluded from the study.
Types of participants: The study included patients >18 years old, infected with HIV virus and suffering from painful neuropathy. The latter was confirmed by the presence of symmetrical pain, burning, or dysesthesias in a stocking distribution with abnormal ankle reflexes or at least one abnormal sensory sign (elevated vibratory thresholds, reduced pinprick or temperature sensation, or cutaneous allodynia). Exclusion criteria were age < 18, pregnancy or breastfeeding, presence of renal or hepatic impairment, presence of diabetes or Vitamin B12 deficiency, treatment with known neurotoxic drugs and presence or other potential causes of neuropathy.
Types of interventions: RCTs examined pharmacologic or non-pharmacologic treatment for the management of painful HIV-neuropathy was eligible for inclusion. Any dosing scheme, formulation or route of administration was taken into consideration. Investigational intervention should has been compared to no treatment, placebo or sham treatment or other “active control” (alternative treatment).
Types of outcomes measures: The efficacy and safety of pharmacologic or non-pharmacologic treatments.

2.3. Primary Outcomes

Efficacy was confirmed by the reduction of pain measures in study population up to the end of study period. Furthermore, co-primary outcomes included the clinical efficacy, defined as percentage of patients with at least >30% pain reduction (IMMPACT recommendations for the evaluation of reduction of pain [18]. Safety was defined by the reports of side effects, which were directly attributable to the applied treatment.

2.4. Secondary Outcomes

Secondary efficacy outcomes included general improvement in clinical status, improvement in functional status, mood or sleep. Secondary safety outcomes included deaths or severe damage from the investigational intervention as well as number of discontinuation or withdrawal, possibly assigned to study intervention.

2.5. Systematic Search

The literature search was conducted in MEDLINE, EMBASE, Scopus/Elsevier, The Cochrane Central Register of Controlled Trials (CENTRAL), USA Clinical Trials registry (clinicaltrials.gov) and The International Web of Science databases up to 22 October 2018. The search used a combination of text words and MeSH, with no language restriction. Different searching strategy was followed for each database. The search strategy for MEDLINE is outlined in Appendix A. Additional search for possible recent literature was conducted in 10 April 2019. Also, the reference lists of the retrieved articles were manually searched for further relevant studies.
Based on the search strategy, all titles and abstracts retrieved were independently scanned by two authors (AA, ID). Each article retrieved was firstly assessed from the title or the abstract in order to evaluate whether fulfills eligibility criteria set. If eligibility could not be ascertained, based only on the title or the abstract, the full text of the study was retrieved and searched. The article was included for review if eligibility criteria were met, as judged by both authors. In case of disagreements between the two reviewers, a third author (PP) was responsible to resolve the disagreement and decide about the eligibility of the article. Interrater agreement was measured using Cohen’s kappa statistic [20].
A data collection sheet was created and included articles were assessed for:
  • Study design
  • Total study duration
  • Risk of bias (randomization if any, sequence generation, allocation sequence concealment, blinding of participants, personnel and outcome assessors, incomplete outcome data, selective outcome reporting and other concerns about bias).
  • Total number of participants
  • Diagnostic criteria for neuropathy, clinical (pain, burning, or dysesthesias in a stocking distribution, abnormal ankle reflexes or abnormal sensory signs) or electrophysiological
  • Age of participants.
  • Sex of participants.
  • Antiretroviral therapy.
  • Characteristics of interventions (treatment vs. placebo or treatment vs. other treatment).
  • Number of different intervention groups (Active treatment vs. placebo or other treatment).
  • Characteristics of treatment or intervention (dose, route of administration, duration).
  • Information about withdrawals.
  • Outcome measures (Pain, adverse events, discontinuation due to side effects).

2.6. Assessment of Risk of Bias

Internal validity of eligible studies was independently assessed by two review authors (AA and ID). Any disagreements between review authors were resolved by discussion. If consensus between authors could not be achieved, a third review author (PP) arbitrated to solve the disagreement.
Risk of bias assessment was conducted by using the ’Risk of bias tool’ of the Cochrane Handbook for Systematic Reviews of Interventions” [21]. Eligible trials were evaluated on the quality domains of random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessors, incomplete outcome data addressed, selective reporting and any other source of bias as follows:
  • Random sequence generation (selection bias): The method of allocation sequence generation was assessed as: low risk of bias (random number table, computer random generator) and unclear risk of bias (when the method is not clearly stated)
  • Allocation concealment (selection bias): The procedure followed for avoidance of allocation foresight or changing. We assessed methods as low risk of bias (telephone or central randomization, consecutively numbered, sealed, opaque envelopes) or unclear risk of bias (when method is not clearly stated).
  • Blinding of participants and personnel (performance bias): Methods for blinding participants and personnel were assessed and judged as low risk of bias (when study described in detail the method of blinding) and unclear risk of bias (when study stated it was blinded but did not provide adequate description of how this was achieved or didn’t report this domain).
  • Blinding of outcome assessment (detection bias): we assessed the methods used to blind the allocated interventions by outcome assessors. We assessed methods as low risk of bias (study states blinding of outcome assessments ensured) or unclear risk of bias (when method is not clearly stated) and high risk (no blinding of outcome assessment).
  • Incomplete outcome data (attrition bias): we assessed the methods used to deal with incomplete data as low risk of bias (when <10% of participants did not complete the study or if a “baseline observation carried forward” was followed), unclear risk of bias (when a “last observation carried forward” methodology was followed) or high risk of bias (when a per protocol analysis was followed).
  • Selective reporting (reporting bias): We assessed methods as low risk of bias (all of the study’s pre-specified outcomes were reported and a protocol is available), unclear risk (insufficient information and no available protocol) or high risk (not all of the study’s pre-specified criteria were reported).
We considered a trial as having a low risk of bias only if all examined domains were judged as “low risk of bias”. Furthermore, we considered a study as having “high risk of bias” when one or more domain has been judged as “high risk of bias”.

2.7. Measures of Treatment Effect

We reported the primary outcomes of included studies as either a continuous variable (i.e., pain level reduction as estimated by validated numeric scales) or dichotomous variables (percent of patients with >30% pain reduction).

2.8. Assessment of Heterogeneity

Methodological and clinical heterogeneity was assessed, based on the characteristics of included studies (study design, parallel or cross-over, study population, inconsistency among interventions and treatment outcomes reporting). Statistical heterogeneity of included studies was assessed by visual inspection of the confidence intervals (CI) of forest plot results, estimations of p value and I2 statistic. p < 0.05 for χ2 test and I2 statistic >50% were considered as indicators for significant heterogeneity. The method of the random effects model was used for summarizing data in order to account for significant heterogeneity.

2.9. Sensitivity Analysis

In cases of significant statistical heterogeneity, we performed sensitivity analyses using both the fixed-effect and random-effects model. Furthermore, we intended to also perform sensitivity analysis by excluding studies with high risk of bias, whether these fulfil the criteria for quantitative analysis.

2.10. Assessment of Reporting Biases

If sufficient studies (at least 10) were identified, we assessed potential Publication biases using funnel plots asymmetry.

2.11. Data Synthesis

We based outcome data on intention-to-treat analysis results. We combined data from dichotomous and continuous outcomes and performed meta-analysis using Review Manager 5 when data from two or more RCTs were sufficient. For trials with multiple intervention groups, we combined groups to create single pair-wise comparisons as outlined in Chapter 16.5.4 of the Cochrane Handbook for Systematic Reviews of Interventions [21]. For dichotomous outcomes, we summed both the sample sizes and the numbers of people with events across groups, and for continuous outcomes, we combined means and standard deviations (SD) using the methods described in Section 7.7.3.8 of the Cochrane Handbook for Systematic Reviews of Interventions [21]. We used odds ratio (OR) to measure the treatment effect of dichotomous outcomes and the mean difference (MD) for continuous data using the inverse variance method. We used random-effect model, in order to account for heterogeneity among studies.

4. Pharmacologic Interventions

Systematic searching identified twenty RCT, examining different pharmacologic regimen for HIV DSN [27,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,50,51,53], plus one study (Shlay et al. [32]), evaluating Acupuncture plus Amitriptyline effect. The follow up period varied from 5 days to 18 weeks. Among 20 included pharmacologic studies, five followed a cross-over design (Estanislao et al. [48], Ellis et al., Dinat et al. [42], Kemper et al. [44] and Harrison et al. [16]) and the remaining a parallel design. Despite the fact that review attempted to include only ITT patients’ data, it wasn’t always possible for these data to be retrieved. This was particularly the case for cross-over studies with multiple comparisons and dropouts between arms. Consequently, cross-over studies underwent only qualitative and not quantitative analysis, in order to avoid methodological pitfalls when pooling with parallel design studies. Characteristics of the included studies are shown in Table 4, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11 and Table 12.
Table 4. Pregabalin treatment and treatment-related serious AEs occurred.
Table 5. Cannabis and treatment.
Table 6. Primary effective outcome.
Table 7. Lamotrigine outcome.
Table 8. Amitryptiline and Mexiletine outcome.
Table 9. Gabapentin and Recombinant human nerve growth factor (NGF).
Table 10. Acetyl L-carnitine and lidocaine.
Table 11. Peptide T and Prosaptide.
Table 12. Memantine, Duloxetine, Methadone.

4.1. Participants

The 20 eligible pharmacologic studies enrolled 2516 patients). The vast majority of patients were male (The study of Estanislao et al. [48] didn’t report data about subjects’ sex). The majority of studies included subjects with either no current use of ART or stable dose of ART for at least 4 weeks before enrolment. The studies performed by Ellis et al. [36] and Shiffito et al. [51] didn’t include ART therapy status in the inclusion criteria. Regarding missing data management only one study followed a baseline observation carried forward practice (Simpson et al. [54]), while last observation carried forward method was used in 9 studies (Clifford et al. [37], Simpson et al. [33], Simpson et al. [38], Evans et al. [50], Youle et al. [47], Simpson et al. [40], McArthur et al. [46], Kieburtz et al. [43], Simpson et al. [49]) and a per protocol analysis in 5 (Dinat et al. [42], Harrison et al. [16], Abrams et al. [35], Simpson et al. [41], Kemper et al. [44]).

4.2. Interventions

Fifteen different drugs were evaluated for efficacy and safety, including Amitriptyline (Dinat et al. [42], Shlay et al. [32], Kieburtz et al. [43]), Pregabalin (Simpson et al. [54], Simpson et al. [53]), Duloxetine and Methadone (Harrison et al. [16]), Capsaicin (Clifford et al. [37], Simpson et al. [38], Paice et al. [27,39]), Smoked cannabis (Ellis et al. [36], Abrams et al. [35]), Prosaptide (Evans et al. [50]), L-Carnitine (Youle et al. [47]), Memantine (Shiffito et al. [51]), Lidocaine gel (Estanislao et al. [48]) Gabapentin (Hanh et al. [45]), Lamotrigine (Simpson et al. [40], Simpson et al. [41]), NGF (McArthur et al. [46]), Mexiletine (Kieburtz et al. [43], Kemper et al. [44]) and Peptide T (Simpson et al. [49]). All studies, except for Harrison et al. [16] and Kieburtz et al. [43], used a placebo group for comparison. Cross-over studies included a washout period between study arms.

4.3. Outcomes

All studies included pain as a primary efficacy outcome. Thirteen studies (Hahn et al. [45], Youle et al. [47], Simpson et al. [53], Simpson et al. [34], Abrams et al. [35], Ellis et al. [36], Dinat et al. [42], Kemper et al., Shiffito et al. [51], Harrison et al. [16], Simpson et al. [38], Clifford et al. [37], and Paice et al. [35,39]) evaluated pain using some type of a Likert 0–10 scale. Eight studies (McArthur et al. [46], Estanislao et al. [48], Evans et al. [50], Simpson et al. [49], Kieburtz et al. [43], Simpson et al. [40], Simpson et al. [41], Shlay et al. [32]) measured efficacy regarding pain change with the Gracely Pain Scale (GPS) tool. One study (Ellis et al. [36]) also applied Descriptor Differential Scale (DDS) measurement in the primary outcome measures, apart from Likert 0-10 scale.
The outcome of percentage of patients with at least >30% pain reduction was reported in 6 trials (Abrams et al. [35], Simpson et al. [53], Simpson et al. [34], Evans et al. [50], Simpson et al. [38], Clifford et al. [37]).
Secondary measures include Patient/Clinical Global Impression of Change (P/CGIC, Youle et al. [47], Simpson et al., Simpson et al. [34], Simpson et al. [38], Clifford et al. [37]), sleep (Hahn et al. [45], Simpson et al. [53], Simpson et al. [34]) and mood (Abrams et al. [35], Ellis et al. [36], Kieburtz et al. [43], Paice et al. [39]).

5. Risk of Bias in Included Studies

We assessed the risk of bias in included studies (Figure 4: review authors’ judgements about each risk of bias item for each included study and Figure 5, (risk of bias graph: risk of bias items presented as percentages across all included studies).
Figure 4. Review authors’ judgements about each risk of bias domain item for each included pharmacologic study (+ corresponds to low risk of bias, − corresponds to high risk of bias, ? corresponds to unclear risk of bias).
Figure 5. Graphical representation of the risk of bias in RCTs assessing the effects of pharmacological interventions in HIV neuropathy pain.

6. Allocation (Selection Bias)

Twelve out of 20 studies reported a reliable technique for randomization (Abrams et al. [35], Clifford et al. [37], Dinat et al. [42], Ellis et al. [36], Evans et al. [50], Hahn et al. [45], Harrison et al. [16], Kieburtz et al., Simpson et al. [40], Simpson et al. [33,44], Simpson et al. [34], Youle et al. [47]) and judged as low risk of bias for randomization. The remaining didn’t describe the method of randomization and are judged as unclear risk of bias. No study described a non-acceptable technique of randomization.

7. Allocation Concealment (Selection Bias)

Only nine studies described in detail the method of allocation concealment of participants and are judged as low risk of bias for the specific domain (Abrams et al. [35], Dinat et al. [42], Ellis et al. [36], Evans et al. [50], Hahn et al. [45], McArthur et al. [46], Simpson et al. [38], Simpson et al. [53], and Simpson et al. [34]). The remained eleven studies gave no information about allocation concealment (Unclear risk of bias).

8. Blinding of Participants and Personnel (Performance Bias and Detection Bias)

Five studies (Dinat et al. [42], Ellis et al. [36], Evans et al. [50], Simpson et al. [53], and Simpson et al. [34,43]) described in detail the method of blinding and assessed as low risk of bias. In one study (McArthur et al. [46]) blinding was unmasked due to active treatment side effects (High risk of bias). The remained 14 studies gave no information about allocation concealment (Unclear risk of bias).

9. Blinding of Outcome Assessment (Detection Bias)

Four studies (Dinat et al. [42], Evans et al. [50], Simpson et al. [33], and Simpson et al. [34]) reported the method of blinding of outcome assessors (Low risk of bias), while the remained 16 studies didn’t report this domain in detail (unclear risk of bias).

10. Incomplete Outcome Data (Attrition Bias)

Only two studies (Evans et al. [50], Simpson et al. [54]) followed an Intent to treat analysis with a “baseline observation carried forward” approach for missing data and judged as low risk of bias. On the other hand, Abrams et al. [35], Dinat et al. [36,42], Hahn et al. [45], Harrison et al. [16], Simpson et al. [41] trials managed missing data by following a “per protocol analysis” (high risk of data). The remained 13 studies followed an “intent to treat” analysis, with a “last observation carried forward” methodology for missing data (unclear risk of bias).

11. Selective Reporting (Reporting Bias)

A predefined protocol was available and available to access in four trials (Clifford et al. [37], Evans et al. [50], Simpson et al. [53], and Simpson et al. [34]), where predefined criteria and outcomes were reported in the final article (low risk of bias). In all other cases. Selective reporting biases were judged as unclear, due to no published trial protocol. However, all outcomes described in the methods section were fully reported in results.
Based on the above assessment, only two studies were considered as having low risk of bias (Evans et al. [50], Simpson et al. [34]), while six studies were considered as having high risk of bias (Abrams et al. [35], Dinat et al. [42], Hahn et al. [45], Harrison et al. [16], Kemper et al. [44], Simpson et al. [55]).

12. Pregabalin

Two studies (Simpson et al. [53], Simpson et al. [34]) [34,35] examined the role of Pregabalin in HIV-SN pain, including 679 patients, randomized to Pregabalin or matching placebo administration. The two studies followed similar methodology, with Pregabalin doses titrated to 600 mg in 2 and 4 weeks respectively and maintained for 12 weeks thereafter. Primary efficacy outcomes were the change in pain, measured with NRS (0–10), at the end of follow-up period and the responder rates of patients with >30% and 50% pain reduction. Regarding secondary efficacy outcomes, both studies examined Patient and Clinician Global Impression of Change (PGIC/CGIC), pain change using Brief Pain inventory short form (BPI sf) and Neuropathic Pain Symptom Inventory (NPSI), pain-related sleep interference and overall sleep disturbance with the NRS-Sleep scale and the Medical Outcomes Survey (MOS) sleep scale. Mood and anxiety symptoms were evaluated using the Hospital Anxiety and Depression Scale (HADS). Simpson et al. [33] also evaluated pain using Gracely Pain Scale (GPS), while Simpson et al. [34] study examined the impact of symptoms on functional activity, work productivity, and quality of life using the Work Productivity and Activity Impairment Specific Health Problem Questionnaire (WPAI-SHP), and the Short-Form 36 Health Survey (SF-36).

12.1. Primary Efficacy Outcomes

The analysis of pooled data in 332 Pregabalin and 343 placebo patients didn’t reveal superiority of Pregabalin over placebo in NRS pain reduction between baseline and study endpoint: MD = −0.04 [95% CI:−0.38, 0.29], test for overall effect: Z = 0.24 (p = 0.81, Figure 6A).
Figure 6. (A). Pregabalin vs. placebo, NRS [0–10] reduction (B). Pregabalin vs. placebo, proportion of patients with >30% NRS reduction. (C). Pregabalin vs. placebo, proportion of patients with >50% NRS reduction.
The Chi2 and I2 value reveal statistical homogeneity between studies. Heterogeneity: Tau2 = 0.00; Chi2 = 0.79, df = 1 (p = 0.37); I2 = 0%. However, we proceeded to sensitivity analysis of the results, by further applying fixed-effect model. Analysis of the results showed the same effect (MD = −0.04 [95% CI: −0.38, 0.29], Heterogeneity: Chi2 = 0.79, df = 1 (p = 0.37); I2 = 0%, Test for overall effect: Z = 0.24, p = 0.81).
Regarding primary outcome of proportion of patients with >30% pain reduction, pooled data from 332 Pregabalin and 342 placebo patients showed slight but not significant superiority of Pregabalin over placebo, OR: 0.85 [95% CI:0.63, 1.16], Heterogeneity: Tau2 = 0.00; Chi2 = 0.98, df = 1 (p = 0.32); I2 = 0%, Test for overall effect: Z = 1.02 (p = 0.31, Figure 6B).
Applying fixed-model the results were similar: Chi2 = 0.98, df = 1 (p = 0.32); I2 = 0%, Test for overall effect: Z = 1.02 (p = 0.31).
Similarly, pooled data regarding proportion of patients with >50% pain reduction didn’t show statistically significant superiority of Pregabalin over placebo: OR 0.79 [95% CI: 0.58, 1.09], Test for overall effect: Z = 1.44 (p = 0.15), Figure 6C.
Using fixed-effect model also lead to similar results: Chi2 = 0.21, df = 1 (p = 0.65); I2 = 0%, Test for overall effect: Z = 1.44 (p = 0.31).

12.2. Secondary Efficacy Outcomes

No significant differences were reported by either study, regarding the outcomes of PGIC/CGIC, BPI sf, NPSI, NRS-Sleep scale, MOS sleep scale, HADS, GPS, WPAI-SHP or SF-36.

12.3. Safety

Both studies reported Pregabalin treatment as being generally well tolerated. The most commonly reported AEs were somnolence, dizziness, euphoric mood, headache, and peripheral edema, while no treatment-related serious AEs occurred (Table 4).

12.4. Smoked Cannabis

Two studies, involving 89 patients, compared cannabis cigarettes with inactive cigarettes, containing 0% delta-9-THC (Abrams et al. [35], Ellis et al. [36]). Abrams et al. followed a double blind parallel design, while Ellis et al. [36] conducted a placebo-controlled, crossover trial. The concentration of active substance delta-9-THC was fixed in Abrams et al. [35] (delta-9-THC 3.56%), while Ellis et al. [36] titrated smoked delta-9-THC concentrations to effect (delta-9-THC 1–8%). Patients were followed up to the end of treatment arms (5 days) where primary and secondary endpoints were obtained (Table 5).

12.5. Primary Efficacy Outcomes

Both studies examined change in pain magnitude between baseline measurements and end of treatment period (5 days) measurements, as well as proportion of patients with >30% pain improvement. Methodological heterogeneity (parallel vs. cross-over trial, different tools for pain measurement, i.e., VAS vs. DDS), precluded proper pooling of data. However, both studies reported significantly greater pain reduction with cannabis, compared to placebo, as well as greater proportion of patients with >30% pain reduction in cannabis arm, compared to placebo arm (Table 5). However, both studies are characterized by poor methodological quality (high and unclear risk of bias for Abrams et al. and Ellis et al. [36] trials respectively).

12.6. Secondary Efficacy Outcomes

Additional variable estimated by both trials included the change in total mood disturbance (Profile of Mood States, POMS). Ellis et al. [36] also evaluated Disability, mood, and quality of life using Sickness Impact Profile (SIP) tool, the Brief Symptom Inventory (BSI) and a subjective Highness/Sedation Scale. Abrams measured immediate changes in chronic neuropathic pain VAS rating after 1st and last cigarette and areas of secondary hyperalgesia produced by the heat/capsaicin sensitization model to brush and von Frey hair stimuli. All secondary parameters examined didn’t reveal significant differences between treatment groups except for immediate effect of first and last cigarette, where a reduction of chronic pain ratings, compared to placebo (p < 0.001) were recorded. Active cannabis also marginally reduced the area to both brush and von Frey hair stimuli compared to placebo (median −34% vs. −11%; p = 0.05 and −52% vs. +3%; p = 0.05).

12.7. Safety Outcomes

Confusion, dizziness, nausea, concentration difficulties, fatigue, sleepiness or sedation, increased duration of sleep, reduced salivation, and thirst were significantly more frequent in cannabis group, compared to placebo. However, Abrams et al. [35] study didn’t report any AE related dropouts, possibly attributed to treatment. On the other hand, 2 patients withdrew from Ellis study, as presented with psychosis and cough while being on cannabis arm (Table 5).

12.8. Capsaicin

Three studies (Clifford et al. [37], Simpson et al. [38], Paice et al. [39]), including 827 patients, evaluated capsaicin versus placebo for HIV-SN pain. Among them, two (Simpson et al. [38], Clifford et al. [37]) compared capsaicin 8% dermal patch capsaicin 640 μg/cm2, 8% w/w), as an active treatment, vs. placebo patch, for a follow up period of 12 weeks. The other study Paice et al. [39]) compared topical capsaicin cream (0.075%), as an active drug to placebo cream, for a follow up period up to 4 weeks.

13. Primary Efficacy Outcome

The studies of Simpson et al. [38] and Clifford et al. [37] involved a total of 557 patients in experimental group and 244 patients in control group. The both used the primary outcome of NRS change (0–100) in pain intensity from baseline to end of follow up (12 weeks). Methodological and clinical heterogeneity was considered quite low, in order to proceed to quantitative analysis. Pooled analysis of data showed that the Mean Difference in NRS pain change between baseline-12 weeks was −8.04 [95% CI: −14.92 −1.15] (Figure 7A).
Figure 7. (A). Capsaicin 8% over placebo, NRS 0–100 reduction, random effect. (B). Capsaicin 8% over placebo, proportion of patients with >30% NRS reduction.
Secondary outcome was the percentage of patients achieving >30% pain reduction, as a cut-off for clinical significance. Pooled data showed odds ratio of 1.08 [95% CI: 0.25, 4.59] and no significant differences between groups (Test for overall effect: Z = 0.10, p = 0.92, Heterogeneity: Tau2 = 1.02; Chi2 = 13.39, df = 1, p = 0.0003, I2 = 93%). Pooled results are shown in Figure 7B.
Due to significant statistical heterogeneity between studies, we performed sensitivity analyses using both the fixed-effect and random-effects models. Fixed models reveal quite similar results with random models, regarding both NPRS change (Mean difference −7.48 [95% CI: −12.08, −2.89], Test for overall effect: Z = 3.19 (p = 0.001) and proportion of patients with >30% pain reduction (Odds ratio 0.97 [95% CI: 0.67, 1.41], Test for overall effect: Z = 0.15 (p = 0.88).
Regarding PGIC and CGIC, pooled data showed significantly more patients showing very much, much or slight improvement, compared to control (odds ratio 2.74 [95% CI: 1.09, 6.93] for PGIC and 2.35 [95% CI: 1.29, 4.29] for CGIC (Figure 8).
Figure 8. (A). Capsaicin 8% over placebo, PGIC. (B). Capsaicin 8% over placebo, CGIC.
Safety: Clifford et al. [37] recorded a 93% of Capsaicin group patients and 83% of control group patients having at least one AE. Respective percentages were 72% and 55% in Simpson et al. [38] study. Most of them were related to application site conditions. No deaths were considered as related to treatment (Table 6).
One trial of capsaicin cream was included in the review (Paice et al.). 26 participants, diagnosed with HIV-SN by their physician, randomized to apply capsaicin cream 0.075% or inactive cream, 4 times daily for 4 weeks. By using BPI as a primary measure of pain, capsaicin cream 0.075% group showed slight inferiority, over inactive cream (Mean (SD): Capsaicin 5.50 (2.68), Control 3.10 (2.12)) only at the end of week 1. Other secondary outcomes measured (QLI, POMS, SIP, touch–pressure sensation), didn’t reveal any differences between groups in any time point.

13.1. Lamotrigine

Two trials conducted by Simpson et al. (Simpson et al. [40] and Simpson et al. [41], Table 7) examined the potential efficacy and safety of Lamotrigine (LTG) over placebo [41,42]. The first trial (Simpson et al. [40]) included 42 patients (20 LTG group, 22 placebo group) who were randomly assigned to receive LTG or matching placebo. The dosing regimen started at 25 mg/day, titrated up to 150 mg twice per day after 7 weeks and maintained thereafter up to week 14. The second study (Simpson et al. [41]) randomized 227 patients (150 LTG, 77 placebo) to receive LTG or placebo. Here, the dosing regimen included a starting dose of 25 mg LTG or matching placebo every other day or 25 mg daily, based on the co-administration of drugs, known to induce the metabolism of LTG. After a 7-week LTG (and placebo) dose escalation phase, patients entered a 4-week maintenance phase, administered the target maintenance dose of LTG of 400 mg/day (for those not receiving enzyme-inducing drugs) and 600 mg/day (for those receiving enzyme-inducing drugs).
Both studies shared primary efficacy measure, defined as the mean change in average pain as measured by the Gracely Pain Scale (GPS) from baseline to the end of the maintenance phase. Furthermore, both studies followed a subgroup analysis, based on the concomitant use of ARTs. Regarding the first study (Simpson et al. [40]), per protocol analysis of primary outcome results showed a superiority of LTG, over placebo in pain reduction from baseline to study endpoint (Mean Difference (SE): Placebo −0.18 (0.09), LTG −0.55 (0.14), p = 0.03, which however, was not apparent when an intent to treat analysis was conducted. Subgroup analysis showed a significant difference only on patients not exposed to neurotoxin. However, the latter study conducted by the same team (Simpson et al. [41]), enrolling a greater number of subjects, didn’t demonstrated superiority of LTG over placebo, in any of the ART-expose subgroups. Despite the similar methodology and outcomes, pooling of data was not possible, since authors in Simpson et al. [41] study didn’t report any measure of variation in their data but only group mean values.

13.2. Amitryptiline and Mexiletine

One cross-over study examined the effect of Amitriptyline over placebo [42]. Authors randomized 124 HIV patients (62 ART naive patients and 62 ART users) to four subgroups to receive amitriptyline first, then placebo or placebo first, then amitriptyline. Patients titrated up to 150 mg amitriptyline (based on tolerance and effect) and matching placebo. Each treatment period consisted of 6 weeks with a washout period of 3 weeks between treatment periods. Analysis of results regarding efficacy, showed no significant differences in the absolute change in pain score over six weeks of treatment with placebo or amitriptyline in the ARV-user group, the ARV-naïve, or all participants combined (Table 8). However, the study revealed a significant period effect. When data from the ARV-user and ARV-naïve groups were combined and taking into consideration only first period, there was a significant decrease in pain intensity in both treatment groups over the six-week period, without any between groups difference. Safety parameters revealed that amitriptyline was safe and caused no resinous side effects. The most frequent side effects in both arms were drowsiness, dry mouth and chest pain, which were common to the use of Amitriptyline and placebo, with dry mouth complain more mentioned in Amitriptyline arm (p < 0.01).
The study of Shlay et al. [32] involved a pharmacologic arm, including 71 patients receiving Amitriptyline 25–75 mg daily and 65 patients receiving placebo for a period of 14 weeks. Primary endpoint of pain reduction was measured via GPS. Analysis showed that Amitriptyline was not superior to placebo regarding pain reduction (mean difference 0.00, CI: −0.18 −0.19, p = 0.99).
Kieburtz et al. [43] randomized 145 patients to receive a combination to active amitriptyline/placebo mexiletine, active mexiletine/placebo amitriptyline, or active control amitriptyline/placebo mexiletine. Intervention lasted 8 weeks (4 titration phase, 4 stable dose) and maximum possible doses of 100 mg amitryptiline and 300 mg of mexiletine. Therapeutic effect was measured using the Gracely Pain Scale (GPS) 0–1.77. Authors concluded that were no significant changes in the measures of pain intensity among the treatment groups (p = 0.38). Safety analysis showed that while no drug was related to laboratory or ECG changes, amitriptyline was associated with sedation requiring dosage modification in 10 subjects, and mexiletine was associated with nausea and vomiting, requiring dosage modification, also in 10 patients (Table 8).
The study of Kemper et al. [44] compared the analgesic effect of mexiletine over placebo in a randomized cross-over study, involving 22 HIV patients. Mexiletine or matching placebo was titrated to up to 600 mg/day (or 300 mg/day if the higher dose was not tolerated). The duration of each treatment arm was 6 weeks, with an interval washout period of 1 week, whereas the efficacy outcome was the change in VAS score. Analysis of each group showed that either administration of mexiletine followed by placebo or administration of placebo followed by mexiletine, lead to significant differences in VAS scores. Furthermore, analysis of mexiletine administration over placebo administration, irrespective of the order administered, also didn’t show significant differences between arms (p = 0.76). 39% of patients in mexiletine arm experienced side effects leading to dose reduction or discontinuation (rush, 1 patient, gastrointestinal side-effects, 2 patients).

13.3. Gabapentin (GBP)

A RCT conducted by Hahn et al. [45] evaluated the efficacy and safety of GBP in managing pain in HIV-SN. 26 eligible patients randomized to receive GBP or matching placebo, titrated to 1200 mg/day over 2 weeks, or up to 2400 mg/day if effect was considered insufficient, during the subsequent 2 weeks. Patients were evaluated regarding efficacy with 0-10 VAS scale of SF-McGill, and sleep interference score, measured by VAS (0 = excellent sleep, 10 cm = no sleep). Although both arms showed reduction in pain between baseline measurements and 4 week measurements, the difference between groups was not significant for either pain or sleep. However, GBP use was associated with more AE (dizziness, gait ataxia, and nausea, Table 9).

13.4. Recombinant Human NGF (rhNGF)

Only one trial (McArthur et al. [46]), enrolling 270 patients, examined the effects of recombinant human NGF (rhNGF). Investigators, evaluated the effects of 2 different dosing regimen 0.1 mg/kg rhNGF s.c. 2 times/week or 0.3 mg/kg rhNGF, s.c. 2 times/week versus placebo s.c. 2 times/week, for a period of 18 weeks. Study’s primary efficacy endpoint was the change in self-reported, average daily pain intensity) measured with Gracely Pain Scale (GPS) from baseline to week 18. A significant difference among treatment groups was noted for changes in average and maximum pain intensity from baseline to week 18, favouring rhNGF (Table 9). Authors mentioned site pain was the most frequent adverse event, resulting in violation of blinding in 39% of subjects, while severe transient myalgic pain occurred in eight patients, usually from accidental overdosing.

13.5. Acetyl L-Carnitine

One RCT examined the potential symptomatic treatment of antiretroviral toxic neuropathy by acetyl L-carnitine (ALCAR, Youle et al. [47]). 90 HIV patients, exposed to nonnucleoside reverse transcriptase inhibitors (NNRTIs), nucleoside reverse transcriptase inhibitors (NRTIs) and protease inhibitors (PIs), were randomized to receive acetyl L-carnitine (ALCAR) 1000 mg/day i.m., twice daily for 14 days (double blind period), follow by an open phase period. Considering efficacy, patients were estimated by VAS, Total Symptom Score (TSS), Clinical Global Impression of Change score (CGI-C) and McGill. In the ITT population ALCAR group showed greater reduction in pain, compared to placebo, measured by VAS, but this difference wasn’t statistical significant. Similarly, differences recorded through TSS, CGIC and McGill were comparable between groups. Reports of AE included 20.9% of ALCAR patients with at least one AE vs. 29.8% in the control arm (Table 10).

13.6. Lidocaine

Estanislao et al. [48] conducted a randomized, double blinded, cross over study to examine the efficacy of lidocaine gel 5% in HIV-DSN. 64 patients were ramdomized to apply 5% lidocaine gel or vehicle gel, once daily for 2 weeks (Phase A), followed by a 2 weeks washout period and then entered a second 2 weeks’ intervention period (Phase B, vehicle gel or lidocaine 5% gel application). The primary outcome was the difference in average pain scores, measured with Gracely pain scale (GPS) between the 2 groups during the second week of each treatment period, while secondary outcomes included differential effect of the first treatment, difference in global pain relief, and pain response by neurotoxin exposure. Regarding primary efficacy outcome, analysis of changes in pain scores between baseline and end of 2 weeks treatment phase didn’t show significant differences for either lidocaine or placebo (p = 314 for Phase A and p = 0.714 for Phase B respectively).

13.7. Peptide T

Simspon et al. [49] evaluated the efficacy of intranasally administered peptide T (6 mg per day), compared to placebo, in a randomized, double blind, parallel group study. The study enrolled 81 patients, who receive the study or placebo intervention for a period of 12 weeks. The primary measure of clinical efficacy was reduction in pain severity, measured by GPS at study end (week 12), while the secondary outcome measures assessed were neurologic examination, nerve conduction studies, global evaluation, electrophysiologic measurements, cognitive function and immunological function. Primary efficacy analysis (per protocol analysis) showed that there were no significant differences In the reduction in mean pain score for either treatment group at week 12 compared to baseline (p = 0.3). Furthermore, none of the secondary outcomes measured showed any differences between the two groups examined. There was no significant difference in adverse events between the two groups. The only event as possibly drug-related was a placebo recorded group patient mild epistaxis in one patient in the placebo group (Table 11).

13.8. Prosaptide

One study (Evans et al. [50]) evaluated the efficacy and safety of Prosaptide (PRO) for the treatment of painful HIV-associated sensory neuropathy. 229 patients were randomized to receive subcutaneously (S.C.) either PRO 2 mg/day, PRO 4 mg/day, PRO 8 mg/day, PRO 16 mg/day or placebo (PBO) for 6 weeks. The primary efficacy endpoint was the 6-week change from baseline in the weekly average of evaluable daily random prompts measuring pain using the GPS. Secondary endpoints included ‘‘treatment success’’, defined as >0.35 units of pain improvement from baseline on the Gracely scale, and change in HIV viral load. Safety endpoints included treatment emergent serious adverse events (SAEs), AEs, and toxicities. Analysis of data showed that after 6 weeks of treatment, changes from baseline in GPS ware comparable for all treatment PRO arms, compared to PBO. Moreover, treatment success rates were also comparable (19%, 28%, 22%, 28% and 22% for 2, 4, 8, 16 PRO arms and PBO arm respectively). Regarding possible adverse effects, 4 were observed in patients receiving PRO and were considered as possibly unrelated to treatment (cellulitis, shigella enteritis, altered mental status, and pancreatitis). Likewise, 1 side effect, possibly unrelated to treatment was recorded in PBO cohort (Table 11).

13.9. Memantine

A randomized, placebo controlled, parallel group, double blind study, conducted by Shiffito et al., examined the potential efficacy role of memantine in HIV-SN related pain. [51] 45 patients were randomized to receive memantine or matched placebo. Dose regimen started at 10 mg/day, titrated up to 40 mg, based on tolerance, and remained stable up to 16 weeks (primary study endpoint). Efficacy analyses examined the change in pain and paresthesia indices on a 01-10 scale, from baseline to week 16, between memantine and placebo arms. Neither pain nor paresthesia pain change measurements showed significant differences between groups. Authors mentioned no difference in adverse experiences between the two groups during the trial, without any other detail (Table 12).

13.10. Duloxetine, Methadone

A trial conducted by Harrison et al. [16] randomized 15 patients to a cross over design with 4 treatment sequence, containing the following arms: duloxetine/placebo, placebo/methadone, duloxetine/methadone, placebo/placebo (Table 12). Each treatment arm was applied for 4 weeks, with 1 week intervals between arms. The primary outcome measure was mean pain intensity at the end of each arm, measured on a 0 = 10 Likert scale where 0 = “No pain” to 10 = “Pain as bad as you can imagine”. Secondary outcome measure included night-time pain intensity. Authors concluded that no differences in the fourth week mean pain scores were detected between any of the active treatments and placebo, or between combination duloxetine-methadone and duloxetine or methadone monotherapy. Significant pair-wise differences were not either detected in night-time MPI scores between treatments. Safety analysis revealed no deaths, life-threatening adverse events (AEs), or severe laboratory abnormalities during the study. Overall, 4 patients reported 5 AEs while on duloxetine, 6 participants reported 17 grade AEs while on methadone, 5 patients reported 17 AEs while on combination therapy and 5 participants reported 6 AEs while on placebo. Severe adverse events on duloxetine included nausea (n = 1), vomiting (n = 1), renal dysfunction (n = 1). Severe adverse events on placebo included pain (n = 1) and fatigue (n = 1).

14. Discussion

The analysis included 27 studies, involving six different non-pharmacologic interventions and 15 different drugs. Hence, most pharmacologic and non-pharmacologic interventions have been examined by either one or very few studies, including small number of participants. Moreover, with few exceptions, whenever more than one study examined a specific intervention, pooling of data was impossible, primarily due to profound methodological and clinical heterogeneity. This is clearly obvious, regarding the different tools and questionnaires used for pain assessment. Lack of conformity in trials design, negatively contributes to revealing possible evidence for significant efficacy.
Among the non-pharmacologic studies, only two, examining Aerobic exercise (AE), Progressive Resisted Exercises (PRE) (Maharaj et al. [29]) and Acupuncture/Moxibustion (Acu/Moxa) (Anastasi et al. [52]) reported a small but statistically significant effect, regarding the primary efficacy outcome of pain reduction. However, the reported beneficial effect should be interpreted with caution. Despite the possible beneficial effect of Aerobic exercise (AE) and Progressive Resisted Exercises (PRE) over sham intervention (Maharaj et al. [29]), the specific study is judged as having “high risk of bias”, due to large number of dropouts and a “per protocol analysis’ of missing data. On the other hand, the study of Anastasi 2013 was considered of higher methodologic quality, regarding risk of bias. However, even this study suffers from other methodologic pitfalls as it has a small sample size. Furthermore, the use of GPS for pain evaluation, without a concomitant VAS or NRP scale, makes extremely difficult the interpretation of results, considering the clinical significance of this pain reduction. Consequently, among non-pharmacologic studies, only (Acu/Moxa) intervention seemed to be promising, necessitating the conduct of well-designed RCTs.
Similarly, among the twenty pharmacologic studies, only six revealed a statistical significant effect attributed to smoked cannabis, lamotrigine, capsaicin (Abrams et al. [35], Ellis et al. [36], Clifford et al. [37], Simpson et al. [38], Simpson et al. [40], McArthur et al. [46]). The beneficial effect of capsaicin, and NGF (Clifford et al. [37], Simpson et al. [38], Abrams et al. [35], Ellis et al. [36], McArthur et al. [46]) has been stated in the previous meta-analysis of Philips et al. [15]. Moreover, the beneficial effect of smoked cannabis also reported by Phillips meta-analysis, who, after obtaining data from the authors, estimated the pooled RR for >30% pain reduction at 2.38 (95% CI: 1.38 to 4.10). Based on these data, emerging evidence for smoked cannabis efficacious effect in pain reduction also complies with IMMPACT recommendations [18] regarding pain measurement and clinical significance. However, apart from problems orienting from combining data from parallel and cross-over trials, both studies lack long term follow up. The reported beneficial effect is demonstrated for up to five days. HIV sensory neuropathy is a chronic condition. Under this point of view a follow up period of such a short magnitude, poses considerable questions about the overall efficacy and safety of this intervention to alleviate painful symptoms [56]. Despite these problems in study design, the emerging interesting in medicinal cannabis, under the view of legalization of its use, makes urgent the conduct of well-designed RCT, with special attention to its long term effects. Finally, one small study (Simpson et al. [40]) demonstrated a positive effect for lamotrigine, over placebo. Nevertheless, this positive effect was detected when patients completed the study period were analysed. Similar results were not apparent when an intent to treat analysis, with a last observation carried forward method was used. Furthermore, this study has a considerable small sample size, with no data about power analysis. Taking all this data under consideration, the efficacious effect of lamotrigine should be considered rather questionable. The latter is supported by the absence of a positive effect in the subsequent well-designed large study of Simpson et al. [41]
During the period 2010–2018, new RCTs were published, examining the potential efficacious effects of various pharmacologic interventions. Among them, four (Dinat et al. [42], Clifford et al. [37], Harrison et al. [16], Simpson et al. [34]) met the inclusion criteria to be analysed in this systematic review and two of them (Clifford et al. [37], Simpson et al. [54]) underwent quantitative analysis for the examined interventions, Capsaicin and Pregabalin respectively. The study of Clifford et al. [37] followed a similar methodology with the older study of Simpson 2008. Pooling of data from these two studies confirmed the efficacious action of Capsaicin 8% in a larger pool of patients. On the other hand, the study of Simpson et al. [54] also followed a similar study design with the older study of Simpson et al. [53]. Authors applied methodological refinements, leading to a study with low risk of bias. Despite these refinements, the non-efficacious effect of Pregabalin also demonstrated in this study and in the pooled analysis of both studies. The study of Dinat et al. [42] examined the effect of Amitriptyline in a cross-over design study. Authors tried to overcome Shlay et al. [32] design drawbacks (where 2x2 factorial design with acupuncture and amitriptyline interventions complicated interpretation). However, Dinat et al. [42] also failed to reveal any positive effect over placebo. Authors raised questions about the median dose of amitriptyline achieved in their study (50 mg per day) as meta-analyses of studies employing amitriptyline for the treatment of neuropathic pain report that the average dose of amitriptyline being taken in trials where amitriptyline was deemed to be superior to placebo was 90 mg per day [57]. Based on the pre-determined criteria for risk of biases, the study was judged as high risk of bias, based on a per protocol analysis (Attrition bias). However, the number of missing participants was too low (one missing subject per group) and probably didn’t account for results inaccuracy.
The study of Harrison et al. [16] evaluated two drugs with quite different mechanisms of analgesic action—duloxetine, and methadone—in a four-period crossover multi-center study. Authors failed to reveal any efficacious effect of either duloxetine, methadone, or their combination, their study suffers from very small sample size, due to premature termination. Based on the fact that both examined pharmacologic agents are for the first time examined in a randomized controlled trial in HIV-SN patients, it is wiser to consider that there are no conclusive data about their effectiveness and safety, rather than definitely preclude any positive action.
In conclusion, although many pharmacologic and non-pharmacologic interventions have been tested for HIV-SN pain, evidence for a positive effect remains rather limited. Most of the RCT are of low quality, are underpowered, and use outcome measurements tool, factors that make it difficult to demonstrate superiority of an intervention with clinical significance. Among different non-pharmacologic interventions, the combination of Acupuncture with Moxibustion (pairing of Acupuncture with moxibustion, the burning of mug wort leaf (Artemisia vulgaris), to stimulate acupuncture points), demonstrated marginally significant pain reduction over placebo, which was maintained after 9 weeks without further treatment in one, high quality RCT. On the other hand, among pharmacologic interventions and after 9 years from Philips et al. [15] meta-analysis, evidence for the positive effect of capsaicin % is supported by a newer study (Clifford et al. [37]). Furthermore, the positive effect of smoked cannabis, already reported by Philips et al. [15] meta-analysis should be underlined in the era of medicinal cannabis legalisation. Other studies (Dinat et al. [42], Harrison et al. [16]) failed to demonstrate any efficacious action for either amitriptyline, methadone, or duloxetine, although conclusive results are difficult to be obtained due to methodological pitfalls of these trials. Finally, the results should be interpreted with caution due to small number of included studies. Indeed, quantitative analysis, whenever was possible to be performed, included up to two studies. During previous years, concerns have been raised regarding the inter-study variance when random-effect model is applied. Inference in random-effects models requires a substantial number of studies included in meta-analysis to guarantee reliable conclusions [58].

Author Contributions

A.A. Writing–original draft Data curation, C.S. Writing–original draft Methodology, V.F. Writing–original draft Validation, P.P. Writing–original draft Data curation, I.D. Writing–original draft Methodology, A.M. Writing–original draft Investigation, K.S. Writing–original draft Investigation, C.K. (Christoforos Kosmidis) Writing–original draft Methodology, A.K. Writing–original draft Data curation, D.G. Writing–original draft Methodology, C.K. (Charilaos Koulouris) Writing–original draft Methodology, Z.A. Writing–original draft Methodology, N.M. Writing–original draft Data curation, P.Z. Writing–original draft Investigation, I.K. Writing–original draft Validation, A.I. Writing–original draft Investigation, A.V. Writing–original draft Data curation, K.R. Writing–original draft Validation, P.O. Writing–original draft Data curation, V.G. Writing–original draft Validation. I.K. Writing–original draft Investigation, V.G. Writing–original draft Validation.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Searching strategy for PUBMED
((((((hiv) OR human immunodeficiency virus) OR aids)) AND (((((pain) OR painful) OR analg*) OR nocicept*) OR antinocicept)) AND (((neuropathy) OR polyneuropathy) OR neuropathic)) AND (random*)

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