Literature DB >> 26844640

Comparative pain reduction of oral non-steroidal anti-inflammatory drugs and opioids for knee osteoarthritis: systematic analytic review.

S R Smith1, B R Deshpande2, J E Collins3, J N Katz4, E Losina5.   

Abstract

OBJECTIVE: Summarize the comparative effectiveness of oral non-steroidal anti-inflammatory drugs (NSAIDs) and opioids in reducing knee osteoarthritis (OA) pain.
METHODS: Two reviewers independently screened reports of randomized controlled trials (RCTs), published in English between 1982 and 2015, evaluating oral NSAIDs or opioids for knee OA. Included studies were at least 8 weeks duration, conducted in Western Europe, the Americas, New Zealand, or Australia, and reported baseline and follow-up pain using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Pain subscale (0-100, 100-worst). Effectiveness was evaluated as reduction in pain, accounting for study dropout and heterogeneity.
RESULTS: Twenty-seven treatment arms (nine celecoxib, four non-selective NSAIDs [diclofenac, naproxen, piroxicam], eleven less potent opioids [tramadol], and three potent opioids [hydromorphone, oxycodone]) from 17 studies were included. NSAID and opioid studies reported similar baseline demographics and efficacy withdrawal rates; NSAID studies reported lower baseline pain and toxicity withdrawal rates. Accounting for efficacy-related withdrawals, all drug classes were associated with similar pain reductions (NSAIDs: -18; less potent opioids: -18; potent opioids: -19). Meta-regression did not reveal differential effectiveness by drug class but found that study cohorts with a higher proportion of male subjects and worse mean baseline pain had greater pain reduction. Similarly, results of the network meta-analysis did not find a significant difference in WOMAC Pain reduction for the three analgesic classes.
CONCLUSION: NSAIDs and opioids offer similar pain relief in OA patients. These data could help clinicians and patients discuss likely benefits of alternative analgesics.
Copyright © 2016 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Knee osteoarthritis; Meta-analysis; NSAIDs; Network meta-analysis; Opioids; WOMAC Pain subscale

Mesh:

Substances:

Year:  2016        PMID: 26844640      PMCID: PMC4996269          DOI: 10.1016/j.joca.2016.01.135

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  48 in total

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Authors:  Jozef Vojtaššák; Jozef Vojtaššák; Adam Jacobs; Leonie Rynn; Sandra Waechter; Ute Richarz
Journal:  Pain Res Treat       Date:  2011-06-22
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Authors:  Amanda M Brandow; C Patrick Carroll; Susan Creary; Ronisha Edwards-Elliott; Jeffrey Glassberg; Robert W Hurley; Abdullah Kutlar; Mohamed Seisa; Jennifer Stinson; John J Strouse; Fouza Yusuf; William Zempsky; Eddy Lang
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Journal:  Arthritis Care Res (Hoboken)       Date:  2019-07       Impact factor: 4.794

5.  [Knee joint pain with signs of arthrosis].

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Journal:  Schmerz       Date:  2017-06       Impact factor: 1.107

6.  Insurance Companies Fighting the Peer Review Empire without any Validity: the Case for Addiction and Pain Modalities in the face of an American Drug Epidemic.

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Authors:  Mohan Stewart; Jolanda Cibere; Eric C Sayre; Jacek A Kopec
Journal:  Rheumatol Int       Date:  2018-08-17       Impact factor: 2.631

8.  Patterns and predictors of persistent opioid use following hip or knee arthroplasty.

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Journal:  Osteoarthritis Cartilage       Date:  2017-04-19       Impact factor: 6.576

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Authors:  E Losina; I M Usiskin; S R Smith; J K Sullivan; K C Smith; D J Hunter; S P Messier; A D Paltiel; J N Katz
Journal:  Osteoarthritis Cartilage       Date:  2018-03-02       Impact factor: 6.576

10.  Cost-Effectiveness of Tramadol and Oxycodone in the Treatment of Knee Osteoarthritis.

Authors:  Savannah R Smith; Jeffrey N Katz; Jamie E Collins; Daniel H Solomon; Joanne M Jordan; Lisa G Suter; Edward H Yelin; A David Paltiel; Elena Losina
Journal:  Arthritis Care Res (Hoboken)       Date:  2016-12-31       Impact factor: 4.794

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