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Review
. 2017 May 17;7(1):1995.
doi: 10.1038/s41598-017-02209-x.

Tolerability of Opioid Analgesia for Chronic Pain: A Network Meta-Analysis

Zengdong Meng  1 , Jing Yu  2 , Michael Acuff  3 , Chong Luo  1 , Sanrong Wang  4   5 , Lehua Yu  4   5 , Rongzhong Huang  6   7
Affiliations
Review

Tolerability of Opioid Analgesia for Chronic Pain: A Network Meta-Analysis

Zengdong Meng et al. Sci Rep. .

Abstract

Aim of this study was to study the tolerability of opioid analgesia by performing a network meta-analysis (NMA) of randomized-controlled trials (RCTs) which investigated effectiveness of opioids for the management of chronic pain. Research articles reporting outcomes of RCT/s comparing 2 or more opioid analgesics for the management of chronic pain were obtained by database search. Bayesian NMAs were performed to combine direct comparisons between treatments with that of indirect simulated evidence. Study endpoints were: incidence of adverse events, incidence of constipation, trial withdrawal rate, and patient satisfaction with treatment. Outcomes were also compared with conventional meta-analyses. Thirty-two studies investigating 10 opioid drugs fulfilled the eligibility criteria. Tapentadol treatment was top-ranking owing to lower incidence of overall adverse events, constipation, and least trial withdrawal rate. Tapentadol was followed by oxycodone-naloxone combination in providing better tolerability and less trial withdrawal rate. Patient satisfaction was found to be higher with oxycodone-naloxone followed by fentanyl and tapentadol. These results were in agreement with those achieved with conventional meta-analyses. Tapentadol and oxycodone-naloxone are found to exhibit better tolerability characteristics in comparison with other opioid drugs for the management of chronic pain and are associated with low trial withdrawal rate and better patient satisfaction.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
A flowchart of the study screening and selection process.
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