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Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis

PURPOSE: Opioids are the primary choice for managing chronic cancer pain. However, many nonopioid therapies are currently prescribed for chronic cancer pain with little published evidence comparing their efficacy. METHODS: Electronic databases were searched for randomized controlled trials (RCTs) co...

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Autores principales: Huang, Rongzhong, Jiang, Lihong, Cao, Yu, Liu, Hongli, Ping, Minsheng, Li, Wei, Xu, Yu, Ning, Jie, Chen, Yuqing, Wang, Xiaojing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6638598/
https://www.ncbi.nlm.nih.gov/pubmed/30939089
http://dx.doi.org/10.1200/JCO.18.01567
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author Huang, Rongzhong
Jiang, Lihong
Cao, Yu
Liu, Hongli
Ping, Minsheng
Li, Wei
Xu, Yu
Ning, Jie
Chen, Yuqing
Wang, Xiaojing
author_facet Huang, Rongzhong
Jiang, Lihong
Cao, Yu
Liu, Hongli
Ping, Minsheng
Li, Wei
Xu, Yu
Ning, Jie
Chen, Yuqing
Wang, Xiaojing
author_sort Huang, Rongzhong
collection PubMed
description PURPOSE: Opioids are the primary choice for managing chronic cancer pain. However, many nonopioid therapies are currently prescribed for chronic cancer pain with little published evidence comparing their efficacy. METHODS: Electronic databases were searched for randomized controlled trials (RCTs) comparing any systemic pharmaceutical intervention and/or combination thereof in treating chronic cancer pain. The primary outcome was global efficacy reported as an odds ratio (OR). The secondary outcome was change in pain intensity reported as a standardized mean difference (SMD). RESULTS: We included 81 RCTs consisting of 10,003 patients investigating 11 medication classes. Most RCTs (80%) displayed low risk of bias. The top-ranking classes for global efficacy were nonopioid analgesics (network OR, 0.30; 95% credibility interval [CrI], 0.13 to 0.67), nonsteroidal anti-inflammatory drugs (network OR, 0.44; 95% CrI, 0.22 to 0.90), and opioids (network OR, 0.49; 95% CrI, 0.27 to 0.86), whereas the top-ranked interventions were lidocaine (network OR, 0.04; 95% CrI, 0.01 to 0.18; surface under the cumulative ranking curve analysis [SUCRA] score, 98.1), codeine plus aspirin (network OR, 0.22; 95% CrI, 0.08 to 0.63; SUCRA score, 81.1), and pregabalin (network OR, 0.29; 95% CrI, 0.08 to 0.92; SUCRA score, 73.8). In terms of reducing pain intensity, we found that no class was superior to placebo, whereas the following top-ranked interventions were superior to placebo: ziconotide (network SMD, −24.98; 95% CrI, −32.62 to −17.35; SUCRA score, 99.8), dezocine (network SMD, −13.56; 95% CrI, −23.37 to −3.69; SUCRA score, 93.5), and diclofenac (network SMD, −11.22; 95% CrI, −15.91 to −5.80; SUCRA score, 92.9). CONCLUSION: There are significant differences in efficacy among current regimens for chronic cancer pain. Our evidence suggests that certain nonopioid analgesics and nonsteroidal anti-inflammatory drugs can serve as effectively as opioids in managing chronic cancer pain.
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spelling pubmed-66385982020-07-10 Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis Huang, Rongzhong Jiang, Lihong Cao, Yu Liu, Hongli Ping, Minsheng Li, Wei Xu, Yu Ning, Jie Chen, Yuqing Wang, Xiaojing J Clin Oncol Review Article PURPOSE: Opioids are the primary choice for managing chronic cancer pain. However, many nonopioid therapies are currently prescribed for chronic cancer pain with little published evidence comparing their efficacy. METHODS: Electronic databases were searched for randomized controlled trials (RCTs) comparing any systemic pharmaceutical intervention and/or combination thereof in treating chronic cancer pain. The primary outcome was global efficacy reported as an odds ratio (OR). The secondary outcome was change in pain intensity reported as a standardized mean difference (SMD). RESULTS: We included 81 RCTs consisting of 10,003 patients investigating 11 medication classes. Most RCTs (80%) displayed low risk of bias. The top-ranking classes for global efficacy were nonopioid analgesics (network OR, 0.30; 95% credibility interval [CrI], 0.13 to 0.67), nonsteroidal anti-inflammatory drugs (network OR, 0.44; 95% CrI, 0.22 to 0.90), and opioids (network OR, 0.49; 95% CrI, 0.27 to 0.86), whereas the top-ranked interventions were lidocaine (network OR, 0.04; 95% CrI, 0.01 to 0.18; surface under the cumulative ranking curve analysis [SUCRA] score, 98.1), codeine plus aspirin (network OR, 0.22; 95% CrI, 0.08 to 0.63; SUCRA score, 81.1), and pregabalin (network OR, 0.29; 95% CrI, 0.08 to 0.92; SUCRA score, 73.8). In terms of reducing pain intensity, we found that no class was superior to placebo, whereas the following top-ranked interventions were superior to placebo: ziconotide (network SMD, −24.98; 95% CrI, −32.62 to −17.35; SUCRA score, 99.8), dezocine (network SMD, −13.56; 95% CrI, −23.37 to −3.69; SUCRA score, 93.5), and diclofenac (network SMD, −11.22; 95% CrI, −15.91 to −5.80; SUCRA score, 92.9). CONCLUSION: There are significant differences in efficacy among current regimens for chronic cancer pain. Our evidence suggests that certain nonopioid analgesics and nonsteroidal anti-inflammatory drugs can serve as effectively as opioids in managing chronic cancer pain. American Society of Clinical Oncology 2019-07-10 2019-04-02 /pmc/articles/PMC6638598/ /pubmed/30939089 http://dx.doi.org/10.1200/JCO.18.01567 Text en © 2019 by American Society of Clinical Oncology https://creativecommons.org/licenses/by/4.0/ Licensed under the Creative Commons Attribution 4.0 License: https://creativecommons.org/licenses/by/4.0/
spellingShingle Review Article
Huang, Rongzhong
Jiang, Lihong
Cao, Yu
Liu, Hongli
Ping, Minsheng
Li, Wei
Xu, Yu
Ning, Jie
Chen, Yuqing
Wang, Xiaojing
Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
title Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
title_full Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
title_fullStr Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
title_full_unstemmed Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
title_short Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis
title_sort comparative efficacy of therapeutics for chronic cancer pain: a bayesian network meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6638598/
https://www.ncbi.nlm.nih.gov/pubmed/30939089
http://dx.doi.org/10.1200/JCO.18.01567
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