Antidepressants for pain management in adults with chronic pain: a network meta-analysis

Birkinshaw, Hollie; Friedrich, Claire; Cole, Peter; Eccleston, Christopher; Serfaty, Marc; Stewart, Gavin; White, Simon; Moore, Andrew; Phillippo, David; Pincus, Tamar

Abstract

Background
Chronic pain is common and costly. Antidepressants are prescribed to reduce pain. However, there has not been a network meta-analysis examining all antidepressants across all chronic pain conditions, so effectiveness and safety for most antidepressants for pain conditions remain unknown.

Objective
To assess the efficacy and safety of antidepressants for chronic pain (except headache) in adults. Our primary outcomes were as follows: substantial pain relief (50%), pain intensity, mood and adverse events. Our secondary outcomes were as follows: moderate pain relief (30%), physical function, sleep, quality of life, Patient Global Impression of Change, serious adverse events and withdrawal.

Design
This was a systematic review with a network meta-analysis. We searched CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS, AMED and PsycINFO databases for randomised controlled trials of antidepressants for chronic pain conditions up until 4 January 2022. The review was registered in PROSPERO (CRD42020171855), and the protocol was published in the Cochrane Library (https://doi.org/10.1002/14651858.CD014682).

Setting
We analysed trials from all settings.

Participants
We included trials in which participants had chronic pain, defined as longer than 3 months, from any condition excluding headache.

Interventions
We included all antidepressants.

Main outcome measures
Our primary outcome was substantial pain relief, defined as a reduction ˃ 50%. We also measured pain intensity, mood and adverse events. Secondary measures included moderate pain relief (above 30% reduction), physical function, sleep, quality of life, Global Impression of Change, serious adverse events, and withdrawal from trial.

Results
We identified 176 studies with a total of 28,664 participants. Most studies were placebo-controlled (n = 83) and parallel armed (n = 141). The most common pain conditions examined were fibromyalgia (59 studies), neuropathic pain (49 studies) and musculoskeletal pain (40 studies). The average length of randomised controlled trials was 10 weeks. Most studies measured short-term outcomes only and excluded people with low mood and other mental health conditions.

Across efficacy outcomes, duloxetine was consistently the highest-ranked antidepressant with moderate- to high-certainty evidence. Standard dose was equally efficacious as high dose for the majority of outcomes. Milnacipran was often ranked as the next most efficacious antidepressant, although the certainty of evidence was lower than that for duloxetine. There was insufficient evidence to draw robust conclusions for the efficacy and safety of any other antidepressant for chronic pain.

Limitations
The evidence for antidepressants other than duloxetine is poor. For duloxetine, it is not clear whether the effect applies to groups with both pain and low mood, since these groups were excluded from trials. There is also insufficient evidence on long-term outcomes and on adverse effects.

Conclusions
There is only reliable evidence for duloxetine in the treatment of chronic pain. Duloxetine was moderately efficacious across all outcomes at standard dose. There is also promising evidence for milnacipran, although further high-quality research is needed to be confident in these conclusions. Data for all other antidepressants were of low certainty. However, the findings should not be read as an encouragement to prescribe antidepressants where other non-pharmacological intervention could be equally effective, especially in the absence of good evidence on side effects and safety.

Citation

Birkinshaw, H., Friedrich, C., Cole, P., Eccleston, C., Serfaty, M., Stewart, G., …Pincus, T. (2024). Antidepressants for pain management in adults with chronic pain: a network meta-analysis. Health Technology Assessment, 28(62), 1-155. https://doi.org/10.3310/mkrt2948

• Journal Article Type: Article
• Acceptance Date: Mar 1, 2024
• Online Publication Date: Oct 18, 2024
• Publication Date: 2024-10
• Deposit Date: Oct 18, 2024
• Journal: Health Technology Assessment
• Print ISSN: 1366-5278
• Electronic ISSN: 2046-4924
• Publisher: NIHR Journals Library
• Peer Reviewed: Peer Reviewed
• Volume: 28
• Issue: 62
• Pages: 1-155
• DOI: https://doi.org/10.3310/mkrt2948
• Public URL: https://keele-repository.worktribe.com/output/950762
• Publisher URL: https://www.journalslibrary.nihr.ac.uk/hta/MKRT2948#/abstract