BACKGROUND: The role of antidepressants in the management of fibromyalgia syndrome (FMS) still needs to be determined. OBJECTIVE: The objective of this study was to provide a quantitative analysis (meta-analysis) of the efficacy and harms of antidepressants in the management of adult FMS patients. DATA SOURCES: The data sources used were the databases MEDLINE, SCOPUS and the Cochrane Central Register of Controlled Trials (until December 30, 2010), the reference lists of included articles, and the websites of the US National Institutes of Health (NIH) and the Pharmaceutical Research and Manufacturers of America (PhRMA). STUDY SELECTION: Studies with a randomized controlled trial (RCT) design comparing any types of antidepressants with pharmacological placebo or head-to-head comparisons of different types of antidepressants in FMS patients were included. RCTs in which antidepressants were combined with any other defined treatment or antidepressants were tested against anything but drug placebo were excluded. Patients diagnosed with FMS according to predefined criteria of any age were included. To be included, studies had to assess at least one key domain of FMS (pain, sleep, fatigue, health-related quality of life [HRQOL]) as outcomes of efficacy and report total treatment discontinuation rates and/or dropout rates due to adverse events as outcomes for harms. DATA EXTRACTION: Data were extracted according to protocols of previous systematic reviews on antidepressants in FMS. Methodology quality was assessed by the van Tulder score. DATA SYNTHESIS: Standardized mean differences (SMD) were calculated for continuous outcomes by means and standard deviations and relative risks (RR) for 30% pain reduction and total dropout rate for comparisons of antidepressants with placebo. Examination of the combined results was performed by a random effects model. We used Cohen's categories to evaluate the magnitude of the effect size, calculated by SMD. Heterogeneity was tested by the I2 statistic. Thirty-five studies were included in the meta-analysis. The SMDs of serotonin noradrenaline (norepinephrine) reuptake inhibitors (SNRIs) on pain, sleep, fatigue, depression and HRQOL were significant. Based on Cohen's categories, the effect size on pain was small and the ones on sleep, fatigue, depression and HRQOL were not substantial. 1481/3528 (42.0%) patients with SNRIs and 737/2304 (32.0%) patients with placebo reported a 30% pain reduction (number needed to treat [NNT] 10.0; 95% CI 8.00, 13.4; I2 = 4%). The RR of dropouts due to adverse events was 1.83 (95% CI 1.53, 2.18; I2 = 33%). The SMDs of selective serotonin reuptake inhibitors (SSRIs) on pain, sleep, depression and HRQOL were significant. Based on Cohen's categories, the effect sizes on pain, depression and HRQOL were small and the one on sleep not substantial. 72/198 (36.4%) patients with SSRIs and 40/194 (20.6%) patients with placebo reported a 30% pain reduction (NNT 6.3; 95% CI 4.1, 14.1). The RR of dropouts due to adverse events was 1.60 (95% CI 0.84, 3.04; I2 = 0%). The SMDs of tricyclic antidepressants (TCAs) on pain, sleep, fatigue and HRQOL were significant. Based on Cohen's categories, the effect sizes on pain and sleep were moderate and the ones on fatigue and HRQOL were small. 140/290 (48.3%) patients with TCAs and 70/252 (27.8%) patients with placebo reported a 30% pain reduction (NNT 4.9; 95% CI 3.5, 8.0). The RR of dropouts due to adverse events was 0.84 (95% CI 0.46, 1.52; I2 = 0%). CONCLUSIONS: The TCA amitriptyline and the SNRIs duloxetine and milnacipran are first-line options for the treatment of FMS patients. Physicians and patients should be realistic about the potential benefits of antidepressants in FMS. A small number of patients experience a substantial symptom relief with no or minor adverse effects. However, a remarkable number of patients dropout of therapy because of intolerable adverse effects or experience only a small relief of symptoms, which does not outweigh the adverse effects.
BACKGROUND: The role of antidepressants in the management of fibromyalgia syndrome (FMS) still needs to be determined. OBJECTIVE: The objective of this study was to provide a quantitative analysis (meta-analysis) of the efficacy and harms of antidepressants in the management of adult FMS patients. DATA SOURCES: The data sources used were the databases MEDLINE, SCOPUS and the Cochrane Central Register of Controlled Trials (until December 30, 2010), the reference lists of included articles, and the websites of the US National Institutes of Health (NIH) and the Pharmaceutical Research and Manufacturers of America (PhRMA). STUDY SELECTION: Studies with a randomized controlled trial (RCT) design comparing any types of antidepressants with pharmacological placebo or head-to-head comparisons of different types of antidepressants in FMS patients were included. RCTs in which antidepressants were combined with any other defined treatment or antidepressants were tested against anything but drug placebo were excluded. Patients diagnosed with FMS according to predefined criteria of any age were included. To be included, studies had to assess at least one key domain of FMS (pain, sleep, fatigue, health-related quality of life [HRQOL]) as outcomes of efficacy and report total treatment discontinuation rates and/or dropout rates due to adverse events as outcomes for harms. DATA EXTRACTION: Data were extracted according to protocols of previous systematic reviews on antidepressants in FMS. Methodology quality was assessed by the van Tulder score. DATA SYNTHESIS: Standardized mean differences (SMD) were calculated for continuous outcomes by means and standard deviations and relative risks (RR) for 30% pain reduction and total dropout rate for comparisons of antidepressants with placebo. Examination of the combined results was performed by a random effects model. We used Cohen's categories to evaluate the magnitude of the effect size, calculated by SMD. Heterogeneity was tested by the I2 statistic. Thirty-five studies were included in the meta-analysis. The SMDs of serotonin noradrenaline (norepinephrine) reuptake inhibitors (SNRIs) on pain, sleep, fatigue, depression and HRQOL were significant. Based on Cohen's categories, the effect size on pain was small and the ones on sleep, fatigue, depression and HRQOL were not substantial. 1481/3528 (42.0%) patients with SNRIs and 737/2304 (32.0%) patients with placebo reported a 30% pain reduction (number needed to treat [NNT] 10.0; 95% CI 8.00, 13.4; I2 = 4%). The RR of dropouts due to adverse events was 1.83 (95% CI 1.53, 2.18; I2 = 33%). The SMDs of selective serotonin reuptake inhibitors (SSRIs) on pain, sleep, depression and HRQOL were significant. Based on Cohen's categories, the effect sizes on pain, depression and HRQOL were small and the one on sleep not substantial. 72/198 (36.4%) patients with SSRIs and 40/194 (20.6%) patients with placebo reported a 30% pain reduction (NNT 6.3; 95% CI 4.1, 14.1). The RR of dropouts due to adverse events was 1.60 (95% CI 0.84, 3.04; I2 = 0%). The SMDs of tricyclic antidepressants (TCAs) on pain, sleep, fatigue and HRQOL were significant. Based on Cohen's categories, the effect sizes on pain and sleep were moderate and the ones on fatigue and HRQOL were small. 140/290 (48.3%) patients with TCAs and 70/252 (27.8%) patients with placebo reported a 30% pain reduction (NNT 4.9; 95% CI 3.5, 8.0). The RR of dropouts due to adverse events was 0.84 (95% CI 0.46, 1.52; I2 = 0%). CONCLUSIONS: The TCA amitriptyline and the SNRIs duloxetine and milnacipran are first-line options for the treatment of FMS patients. Physicians and patients should be realistic about the potential benefits of antidepressants in FMS. A small number of patients experience a substantial symptom relief with no or minor adverse effects. However, a remarkable number of patients dropout of therapy because of intolerable adverse effects or experience only a small relief of symptoms, which does not outweigh the adverse effects.
Authors: Lesley M Arnold; Amy Rosen; Yili Lu Pritchett; Deborah N D'Souza; David J Goldstein; Smriti Iyengar; Joachim F Wernicke Journal: Pain Date: 2005-11-17 Impact factor: 6.961
Authors: Winfried Häuser; Wolfgang Eich; Markus Herrmann; Detlev O Nutzinger; Marcus Schiltenwolf; Peter Henningsen Journal: Dtsch Arztebl Int Date: 2009-06-05 Impact factor: 5.594
Authors: S F Carville; L Arendt-Nielsen; S Arendt-Nielsen; H Bliddal; F Blotman; J C Branco; D Buskila; J A P Da Silva; B Danneskiold-Samsøe; F Dincer; C Henriksson; K G Henriksson; E Kosek; K Longley; G M McCarthy; S Perrot; M Puszczewicz; P Sarzi-Puttini; A Silman; M Späth; E H Choy Journal: Ann Rheum Dis Date: 2007-07-20 Impact factor: 19.103
Authors: Jon I Russell; Philip J Mease; Timothy R Smith; Daniel K Kajdasz; Madelaine M Wohlreich; Michael J Detke; Daniel J Walker; Amy S Chappell; Lesley M Arnold Journal: Pain Date: 2008-04-18 Impact factor: 6.961
Authors: Jaime C Branco; Bernard Bannwarth; Inmaculada Failde; Jordi Abello Carbonell; Francis Blotman; Michael Spaeth; Fernando Saraiva; Francesca Nacci; Eric Thomas; Jean-Paul Caubère; Katell Le Lay; Charles Taieb; Marco Matucci-Cerinic Journal: Semin Arthritis Rheum Date: 2009-02-27 Impact factor: 5.532
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 Journal: Blood Adv Date: 2020-06-23
Authors: Brian Walitt; Gerard Urrútia; María Betina Nishishinya; Sarah E Cantrell; Winfried Häuser Journal: Cochrane Database Syst Rev Date: 2015-06-05