Literature DB >> 22511365

Comprehensive review of factors implicated in the heterogeneity of response in depression.

Gebra Cuyún Carter1, Ronald A Cantrell, Virginia S Haynes, Glenn Phillips, Carlos I Alatorre, Iris Goetz, Rosirene Paczkowski, Lauren B Marangell.   

Abstract

BACKGROUND: Heterogeneity in overall response and outcomes to pharmacological treatment has been reported in several depression studies but with few sources that integrate these results. The goal of this study was to review the literature and attempt to identify nongenetic factors potentially predictive of overall response to depression treatments.
METHODS: A comprehensive review of the literature from the last 10 years was performed using three key databases (PubMed, EMBASE, and Cochrane). All relevant studies that met the inclusion criteria were selected and scored for their levels of evidence using the NICE scoring method. A subjective assessment of the strength of evidence for each factor was performed using predefined criteria.
RESULTS: Our broad search yielded 76 articles relevant to treatment heterogeneity. Sociodemographic factors, disease characteristics, and comorbidities were the most heavily researched areas. Some of the factors associated with more favorable overall response include being married, other social support, and low levels of baseline depressive symptoms. Evidence relating to baseline disease severity as a factor predictive of antidepressant response was particularly convincing among the factors reviewed. The presence of comorbid anxiety and pain contributed to worse antidepressant treatment outcomes.
CONCLUSIONS: Several factors either predictive of or associated with overall response to antidepressant treatment have been identified. Inclusion of factors predictive of response in the design of future trials may help tailor treatments to depression patients presenting to the average clinical practice, resulting in improved outcomes.
© 2012 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22511365     DOI: 10.1002/da.21918

Source DB:  PubMed          Journal:  Depress Anxiety        ISSN: 1091-4269            Impact factor:   6.505


  26 in total

1.  Health technology assessment with risk aversion in health.

Authors:  Darius N Lakdawalla; Charles E Phelps
Journal:  J Health Econ       Date:  2020-06-06       Impact factor: 3.883

2.  The role of gender in moderating treatment outcome in collaborative care for anxiety.

Authors:  Kathleen M Grubbs; Ann M Cheney; John C Fortney; Carrie Edlund; Xiaotong Han; Patricia Dubbert; Cathy D Sherbourne; Michelle G Craske; Murray B Stein; Peter P Roy-Byrne; J Greer Sullivan
Journal:  Psychiatr Serv       Date:  2014-12-15       Impact factor: 3.084

3.  Trajectories of change in anxiety severity and impairment during and after treatment with evidence-based treatment for multiple anxiety disorders in primary care.

Authors:  Jutta M Joesch; Daniela Golinelli; Cathy D Sherbourne; Greer Sullivan; Murray B Stein; Michelle G Craske; Peter P Roy-Byrne
Journal:  Depress Anxiety       Date:  2013-06-25       Impact factor: 6.505

4.  Predictors of Poor Response to Depression Treatment in Primary Care.

Authors:  Rebecca C Rossom; Leif I Solberg; Gabriela Vazquez-Benitez; Robin R Whitebird; A Lauren Crain; Arne Beck; Jürgen Unützer
Journal:  Psychiatr Serv       Date:  2016-07-15       Impact factor: 3.084

5.  Perceived social support mediates anxiety and depressive symptom changes following primary care intervention.

Authors:  Halina J Dour; Joshua F Wiley; Peter Roy-Byrne; Murray B Stein; Greer Sullivan; Cathy D Sherbourne; Alexander Bystritsky; Raphael D Rose; Michelle G Craske
Journal:  Depress Anxiety       Date:  2013-12-12       Impact factor: 6.505

6.  Individual and neighborhood characteristics as predictors of depression symptom response.

Authors:  Vanessa Panaite; Nicholas W Bowersox; Kara Zivin; Dara Ganoczy; Hyungjin Myra Kim; Paul N Pfeiffer
Journal:  Health Serv Res       Date:  2019-03-04       Impact factor: 3.402

7.  Four maternal characteristics determine the 12-month course of chronic severe postpartum depressive symptoms.

Authors:  Sheehan D Fisher; Dorothy K Sit; Amy Yang; Jody D Ciolino; Jackie K Gollan; Katherine L Wisner
Journal:  Depress Anxiety       Date:  2019-01-15       Impact factor: 6.505

8.  Screening genetic variability at the CNR1 gene in both major depression etiology and clinical response to citalopram treatment.

Authors:  Marina Mitjans; Alessandro Serretti; Chiara Fabbri; Cristóbal Gastó; Rosa Catalán; Lourdes Fañanás; Bárbara Arias
Journal:  Psychopharmacology (Berl)       Date:  2013-02-14       Impact factor: 4.530

9.  Heterogeneity of response to biologic treatment: perspective for psoriasis.

Authors:  Emily Edson-Heredia; Kimberly L Sterling; Carlos I Alatorre; Gebra Cuyun Carter; Rosirene Paczkowski; Victoria Zarotsky; Tomoko Maeda-Chubachi
Journal:  J Invest Dermatol       Date:  2013-08-06       Impact factor: 8.551

10.  Reporting of Sex Effects by Systematic Reviews on Interventions for Depression, Diabetes, and Chronic Pain.

Authors:  Wei Duan-Porter; Karen M Goldstein; Jennifer R McDuffie; Jaime M Hughes; Megan E B Clowse; Ruth S Klap; Varsha Masilamani; Nancy M Allen LaPointe; Avishek Nagi; Jennifer M Gierisch; John W Williams
Journal:  Ann Intern Med       Date:  2016-04-26       Impact factor: 25.391

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