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Predicting the outcome of antidepressants and psychotherapy for depression: a qualitative, systematic review.

Author: DekkerJack, SchoeversRobert A, VanHenricus L

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
ReviewAn article that critically examines existing research on a particular topic and summarizes the current state of knowledge in the field.
Systematic ReviewA review that systematically collects, evaluates, and integrates relevant research to answer a specific research question.

Overview

This study reviews the factors that can predict how well people respond to different treatments for major depression. The review found that: - Younger patients may have less success with older antidepressants (tricyclics), while women tend to have better outcomes with newer antidepressants. - Being married might be associated with better outcomes with both antidepressants and cognitive-behavioral therapy. - Longer duration of depression is often a negative predictor of treatment success, especially with psychotherapy. - The relationship between the severity of depression and treatment outcome is complex and not easily understood.
Paper Details　
Original Abstract of the Article :
As treatment outcome in depression varies widely, it is important to understand better the predictive value of particular patient characteristics. However, qualitative systematic reviews of the association between easily identifiable patient characteristics and outcome for commonly used treatment op...See full text at original site
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引用元：
https://doi.org/10.1080/10673220802277938

データ提供：米国国立医学図書館（NLM）

Predicting Depression Treatment Outcome: A Journey Through the Desert of Mental Health

The desert of depression can be a vast and complex landscape, with each individual's journey to recovery unique and influenced by a variety of factors. This research delves into the world of [depression] treatment, exploring the potential predictors of successful outcomes for various treatment options, including [pharmacotherapy], [cognitive-behavioral therapy (CBT)], and [interpersonal/psychodynamic psychotherapy]. The study reviewed evidence from numerous studies, looking for patterns in patient characteristics that might predict successful treatment. It's like searching for a hidden oasis in the desert, seeking clues that might point the way to successful recovery.

Finding the Right Path: Identifying Predictors of Depression Treatment Success

This research provides valuable insights into the factors that might influence the success of different [depression] treatment approaches. It's like finding a map in the desert, guiding us towards the most effective path for recovery. While the journey may be long and challenging, understanding potential predictors can help us make more informed decisions about treatment options, potentially increasing the chances of finding a healing oasis in the desert of depression.

Navigating the Desert of Depression: A Camel's Guide to Finding Support

This research emphasizes the importance of understanding the nuances of [depression] treatment and the role of individual factors in predicting treatment success. It's like navigating the desert with a wise guide, seeking knowledge and understanding to make informed decisions about our well-being. Staying connected with healthcare professionals, exploring different treatment options, and seeking support from trusted sources can help us find a more comfortable and fulfilling journey through the desert of depression.

Dr. Camel's Conclusion

The desert of depression can be a daunting landscape, but there is hope. This research highlights the importance of understanding the complexities of depression treatment and the factors that may influence success. By seeking knowledge, embracing a multi-faceted approach, and staying connected with healthcare professionals, we can navigate this desert with greater confidence and resilience, ultimately reaching a peaceful oasis of well-being.

Date :
  1. Date Completed 2008-10-08
  2. Date Revised 2018-12-01
Further Info :

Pubmed ID

18661365

DOI: Digital Object Identifier

10.1080/10673220802277938

Related Literature

Article Analysis
・Effective treatment of depression
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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