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10.1177/0269881119872194 http://scihub22266oqcxt.onion/10.1177/0269881119872194 31526204!ä!31526204 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Psychopharmacol 2019 ; 33 (11): 1323-1339 Nephropedia Template TP {{tp|p=31526204|t=2019. Predictors of response to augmentation treatment in patients with treatment-resistant depression: A systematic review |pdf=|usr=}}{{31526204}} gab.com Text Predictors of response to augmentation treatment in patients with treatment-resistant depression: A systematic review JO: J Psychopharmacol http://www.kidney.de/pget.php?&tw=1&pmid=31526204 #FOAvip BACKGROUND: Treatment-resistant depression is an important contributor to the global burden of depression. Antidepressant augmentation is a recommended treatment strategy for treatment-resistant patients, but outcomes remain poor. Identifying factors that are predictive of response to augmentation treatments may improve outcomes. AIMS: This review aimed to synthesise the existing literature examining predictors of response to augmentation treatments in patients who had insufficiently responded to initial treatment. METHODS: A systematic search was conducted identifying 2241 unique manuscripts. 24 examining predictors of outcome to pharmacological or psychological augmentation treatment were included in this review. RESULTS: Atypical antipsychotics were the most frequently assessed treatment class (nine studies), closely followed by mood stabilisers (eight studies). Only one eligible psychological augmentation study was identified. Early response to treatment (week 2) was the best-supported predictor of subsequent treatment outcome, reported by six studies. Many predictor variables were only assessed by one report and others such as pre-treatment severity yielded contradictory results, both within and across treatment classes. CONCLUSIONS: This review highlights the importance of early response as a predictor of pharmacological augmentation outcome, with implications for both the monitoring and treatment of resistant unipolar patients. Further replication is needed across specific interventions to fully assess the generalisability of this finding. However, the clear lack of consistent evidence for other predictive factors both within and across treatments, and the scarce examination of psychological augmentation, demonstrates the need for much more research of a high quality if response prediction is to improve outcomes for patients with treatment-resistant depression. Twit Text FOAVip Predictors of response to augmentation treatment in patients with treatment-resistant depression: A systematic review ????J Psychopharmacol http://www.kidney.de/pget.php?&tw=1&pmid=31526204 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=31526204 #FOAvip English Wikipedia <ref>{{Cite pmid|31526204}}</ref> Predictors of response to augmentation treatment in patients with treatment-resistant depression: A systematic review #MMPMID31526204 Taylor RW; Marwood L; Greer B; Strawbridge R; Cleare AJ J Psychopharmacol 2019[Nov]; 33 (11): 1323-1339 PMID31526204show ga BACKGROUND: Treatment-resistant depression is an important contributor to the global burden of depression. Antidepressant augmentation is a recommended treatment strategy for treatment-resistant patients, but outcomes remain poor. Identifying factors that are predictive of response to augmentation treatments may improve outcomes. AIMS: This review aimed to synthesise the existing literature examining predictors of response to augmentation treatments in patients who had insufficiently responded to initial treatment. METHODS: A systematic search was conducted identifying 2241 unique manuscripts. 24 examining predictors of outcome to pharmacological or psychological augmentation treatment were included in this review. RESULTS: Atypical antipsychotics were the most frequently assessed treatment class (nine studies), closely followed by mood stabilisers (eight studies). Only one eligible psychological augmentation study was identified. Early response to treatment (week 2) was the best-supported predictor of subsequent treatment outcome, reported by six studies. Many predictor variables were only assessed by one report and others such as pre-treatment severity yielded contradictory results, both within and across treatment classes. CONCLUSIONS: This review highlights the importance of early response as a predictor of pharmacological augmentation outcome, with implications for both the monitoring and treatment of resistant unipolar patients. Further replication is needed across specific interventions to fully assess the generalisability of this finding. However, the clear lack of consistent evidence for other predictive factors both within and across treatments, and the scarce examination of psychological augmentation, demonstrates the need for much more research of a high quality if response prediction is to improve outcomes for patients with treatment-resistant depression. |*Antidepressive Agents/administration & dosage[MESH] |*Depressive Disorder, Treatment-Resistant/drug therapy/physiopathology[MESH] |Antimanic Agents/administration & dosage[MESH] |Antipsychotic Agents/administration & dosage[MESH] |Drug Therapy, Combination[MESH]Predictors of response to augmentation treatment in patients with tre(epmc).pdf DeepDyve Pubget Overpricing