Table 1A.
Review Characteristic | n | (%) |
---|---|---|
Year published | ||
2001–2005 | 4 | (6%) |
2006–2010 | 11 | (16%) |
2011–2015 | 19 | (27%) |
2016–2020 | 36 | (51%) |
Review condition(s)/indication(s) i | ||
Neuropathic pain (e.g., phantom limb-pain, neuropathic cancer-pain) | 18 | (25%) |
Post-operative pain | 18 | (25%) |
Epilepsy (e.g., essential tremor, seizure disorders) | 12 | (17%) |
Postherpetic neuralgia | 7 | (10%) |
Fibromyalgia | 6 | (9%) |
Migraine headaches | 5 | (7%) |
Vasomotor symptoms (i.e., hot flashes) | 4 | (6%) |
Alcohol dependence | 3 | (4%) |
Psychiatric disorders (bipolar disorder, attention deficit disorder, obsessive compulsive disorder, post-traumatic stress disorder) | 1 | (1%) |
Restless leg syndrome | 1 | (1%) |
Non-specific–review focused on specific drugs | 7 | (10%) |
Gabapentin assessed as … | ||
Single intervention (with one or more doses) | 61 | (87%) |
Multiple interventions (separated by dose) | 9 | (13%) |
Comparators evaluated against gabapentin ii | ||
Direct comparisons against gabapentin (n = 106) | 60 | (86%) |
Placebo | 52 | |
Antiepileptic drugs | 11 | |
Tricyclic antidepressants | 8 | |
Pregabalin | 4 | |
NSAIDs | 4 | |
SNRIs or SSRIs | 3 | |
Benzodiazepines | 2 | |
Opioids | 3 | |
Other (cannabinoids, topical capsaicin/lidocaine, vitamin E, estrogen, isoflavones, tibolone, hypnotic induction, electroacupuncture, etc.) | 17 | |
Network Meta-Analysis (all interventions compared with each other) | 11 | (16%) |
Specific guidance followed for general review methods/reporting iii | ||
PRISMA | 26 | (37%) |
Cochrane | 23 | (33%) |
AHRQ | 2 | (3%) |
FDA | 0 | (0%) |
IOM | 0 | (0%) |
Other (e.g., BMJ Clinical Evidence, NHS R&D HTA, ISPOR, PROSPECT) | 9 | (13%) |
Source of funding or material support iv | ||
Government (e.g., National Institutes of Health) | 24 | (34%) |
Foundation | 12 | (17%) |
Department, institution, or organization | 11 | (16%) |
Pharmaceutical industry | 1 | (1%) |
Explicit statement that there was no funding | 17 | (24%) |
Not reported | 12 | (17%) |
Reviews could assess multiple conditions/indications
Reviews could include both direct, pairwise, comparisons and network meta-analyses
Reviews could report following multiple different guidance documents
Reviews could report multiple different sources of funding