ArticlePain research and treatment2012
Antineuropathic and antinociceptive drugs combination in patients with chronic low back pain: a systematic review.
Article in Pain research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 46 citations in OpenAlex.
- Review
- The Pharmacological Treatment of Neuropathic Pain in Children.Current neuropharmacology · 2024Review
- A methodological quality assessment of systematic reviews and meta-analyses of antidepressants effect on low back pain using updated AMSTAR.BMC medical research methodology · 2020Article
- Are Prescription Opioids Driving the Opioid Crisis? Assumptions vs Facts.Pain medicine (Malden, Mass.) · 2018Review
- The Recent Trend in Diagnosis and Treatment of Chronic Low Back Pain.Spine surgery and related research · 2017Review
- Gabapentinoids for chronic low back pain: a protocol for systematic review and meta-analysis of randomised controlled trials.BMJ open · 2016Article
- Neuropathic low back pain in clinical practice.European journal of pain (London, England) · 2016Review
- Incorporating Natural Products, Pharmaceutical Drugs, Self-Care and Digital/Mobile Health Technologies into Molecular-Behavioral Combination Therapies for Chronic Diseases.Current clinical pharmacology · 2016Review
- Long-term efficacy of OROS® hydromorphone combined with pregabalin for chronic non-cancer neuropathic pain.Clinical drug investigation · 2014Article
- The mu-opioid receptor agonist/noradrenaline reuptake inhibition (MOR-NRI) concept in analgesia: the case of tapentadol.CNS drugs · 2014Review
- Narcotics in rheumatology.Health services insights · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose. Chronic low back pain (LBP) is often characterized by both nociceptive and neuropathic components. While various monotherapies have been reported of only limited efficacy, combining drugs with different mechanisms of action and targets appears a rational approach. Aim of this systematic review is to assess the efficacy and safety of different combined pharmacological treatments, compared to monotherapy or placebo, for the pharmacological treatment of chronic LBP. Methods. Published papers, written or abstracted in English from 1990 through 2011, comparing combined pharmacological treatments of chronic LBP to monotherapy or placebo were reviewed. Results. Six articles met the inclusion criteria. Pregabalin combined with celecoxib or opioids was shown to be more effective than either monotherapy. Oxycodone-paracetamol versus previous treatments and tramadol-paracetamol versus placebo were also reported as effective, while morphine-nortriptyline did not show any benefit over any single agent. Conclusions. In spite of theoretical advantages of combined pharmacological treatments of chronic LBP, clinical studies are remarkably few. Available data show that combined therapy, including antinociceptive and antineuropathic agents is more effective than monotherapy, with similar side effects.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.