Assessing treatment response to the monoamine oxidase inhibitor isocarboxazid.

Author: BialosD, GillerE, HarknessL, RiddleM

Paper Details 
Original Abstract of the Article :
The response to the MAOI isocarboxazid was investigated in a two-phase protocol. Phase 1 was a double-blind, placebo-controlled study; Phase 2 was an open active medication trial for Phase 1 placebo patients who still met symptom criteria. In Phase 1, 60 male outpatients were randomly divided into p...See full text at original site
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引用元:
https://pubmed.ncbi.nlm.nih.gov/6376484

データ提供:米国国立医学図書館(NLM)

Assessing the Efficacy of Isocarboxazid: A Double-Blind Study

In the realm of [psychiatry], finding effective treatments for [depression] is a constant struggle. This study investigates the efficacy of [isocarboxazid], a [monoamine oxidase inhibitor] used to treat [depression], using a [double-blind, placebo-controlled study] design. It's like finding the right oasis in a vast desert; we need to carefully test different approaches to see which one works best.

Predicting Response to Isocarboxazid

The study found that [platelet MAO activity, standing diastolic blood pressure, and psychomotor irregularity] are [key predictors] of [treatment response] to [isocarboxazid]. This is like having a compass to guide you through the desert; these factors can help us identify patients who are most likely to benefit from this treatment.

Navigating the Challenges of Depression Treatment

Understanding the factors that predict [treatment response] is crucial for [personalizing therapy] and improving outcomes for patients with [depression]. It's like knowing the best time to travel through the desert; we need to choose the right approach for each individual to maximize their chances of success.

Dr.Camel's Conclusion

This study sheds light on the complex nature of [depression] and the importance of [individualized treatment] strategies. It's like finding the perfect balance of sand and water in the desert; we need to carefully tailor our approaches to achieve the best possible results. By understanding the predictors of [treatment response], we can navigate the challenges of [depression] with greater confidence and hope.

Date :
  1. Date Completed 1984-08-20
  2. Date Revised 2013-11-21
Further Info :

Pubmed ID

6376484

DOI: Digital Object Identifier

6376484

Related Literature

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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