The Role of White Matter Abnormalities in Treatment-Resistant Depression: A Systematic Review

2015 ◽  
Vol 21 (10) ◽  
pp. 1337-1346 ◽  
Author(s):  
Gianluca Serafini ◽  
Maurizio Pompili ◽  
Stefan Borgwardt ◽  
Enrico Giuffra ◽  
Oliver Howes ◽  
...  
2014 ◽  
Vol 12 (5) ◽  
pp. 444-461 ◽  
Author(s):  
Gianluca Serafini ◽  
Robert Howland ◽  
Fabiana Rovedi ◽  
Paolo Girardi ◽  
Mario Amore

2018 ◽  
Vol 214 (5) ◽  
pp. 308-308
Author(s):  
Rebecca Strawbridge ◽  
Ben Carter ◽  
Lindsey Marwood ◽  
Borwin Bandelow ◽  
Dimosthenis Tsapekos ◽  
...  

2014 ◽  
Vol 11 (3) ◽  
pp. 475-484 ◽  
Author(s):  
Takashi Morishita ◽  
Sarah M. Fayad ◽  
Masa-aki Higuchi ◽  
Kelsey A. Nestor ◽  
Kelly D. Foote

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S261-S262
Author(s):  
Brett D M Jones ◽  
Cory R. Weissman ◽  
Jewel Karbi ◽  
Tya Vine ◽  
Louise S. Mulsant ◽  
...  

AimsThe placebo response in depression clinical trials is a major contributing factor for failure to establish the efficacy of novel and repurposed treatments. However, it is not clear as to what the placebo response in treatment-resistant depression (TRD) patients is or whether it differs across treatment modalities. Our objective was to conduct a systematic review and meta-analysis of the magnitude of the placebo response in TRD patients across different treatment modalities and its possible moderators.MethodSearches were conducted on MEDLINE and PsychInfo from inception to January 24, 2020. Only studies that recruited TRD patients and randomization to a placebo (or sham) arm in a pharmacotherapy, brain stimulation, or psychotherapy study were included (PROSPERO 2020 CRD42020190465). The primary outcome was the Hedges’ g for the reported depression scale using a random-effects model. Secondary outcomes included moderators assessed via meta-regression and response and remission rate. Heterogeneity was evaluated using the Egger's Test and a funnel plot. Cochrane Risk of Bias Tool was used to estimate risks.Result46 studies met our inclusion criteria involving a total of 3083 participants (mean (SD) age: 45.7 (6.2); female: 52.4%). The pooled placebo effect for all modalities was large (N = 3083, g = 1.08 ,95% CI [0.95-1.20)I 2 = 0.1). The placebo effect in studies of specific treatment modalities did not significantly differ: oral medications g = 1.14 (95%CI:0.99-1.29); parenteral medications g = 1.32 (95%CI:0.59-2.04); ayahuasca g = 0.47 (95%CI:-0.28-1.17); rTMS g = 0.93 (95%CI:0.63-1.23); tDCS g = 1.32 (95%CI:0.52-2.11); invasive brain stimulation g = 1.06 (95%CI:0.64-1.47). There were no psychotherapy trials that met our eligibility criteria. Similarly, response and remission rates were comparable across modalities. Heterogeneity was large. Two variables predicted a lager placebo effect: open-label prospective design (B:0.32, 95%CI: 0.05-0.58; p:0.02) and sponsoring by a pharmaceutical or medical device company (B:0.39, 95%CI:0.13-0.65, p:0.004)). No risk of publication bias was found.ConclusionThe overall placebo effect in TRD studies was large (g = 1.08) and did not differ among treatment modalities. A better understanding of the placebo response in TRD will require: standardizing the definition of TRD, head-to-head comparisons of treatment modalities, an assessment of patient expectations and experiences, and standardized reporting of outcomes.


2020 ◽  
Vol 32 (5-6) ◽  
pp. 477-490 ◽  
Author(s):  
Ben Carter ◽  
Rebecca Strawbridge ◽  
Muhammad Ishrat Husain ◽  
Brett D. M. Jones ◽  
Roxanna Short ◽  
...  

2021 ◽  
Vol 281 ◽  
pp. 82-89
Author(s):  
Jolien K.E. Veraart ◽  
Sanne Y. Smith-Apeldoorn ◽  
Harm-Pieter Spaans ◽  
Jeanine Kamphuis ◽  
Robert A. Schoevers

2019 ◽  
Vol 254 ◽  
pp. 153
Author(s):  
Dr Rebecca Strawbridge ◽  
Dr Ben Carter ◽  
Dr Lindsey Marwood ◽  
Professor Borwin Bandelow ◽  
Dimosthenis Tsapekos ◽  
...  

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