Significance of Treatment effect
Treatment effect refers to the observable outcomes or changes in a patient's condition resulting from a specific medical intervention or therapy. It is commonly assessed in clinical studies evaluating various treatments, including those for anxiety disorders and liver damage. These effects can be quantified through statistical analyses, such as repeated-measures ANOVA, to identify significant differences over time or between groups. Overall, treatment effects play a crucial role in determining the efficacy of different therapeutic interventions.
Synonyms: Therapeutic impact, Treatment outcome, Intervention effect, Clinical effect, Therapeutic effect, Treatment efficacy, Outcome measure, Impact, Outcome, Result, Consequence, Influence, Efficacy
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Treatment effect in scientific sources
Treatment effect indicates the measurable improvement in a patient's symptoms after undergoing a medical intervention, such as Jaloukavacharana, illustrating the efficacy of the treatment in addressing health issues.
From: The Malaysian Journal of Medical Sciences
(1) This refers to the impact of a specific intervention or medication on the outcome being studied, such as IOP.[1] (2) This is the impact or outcome that is observed as a result of a particular intervention or therapy, and it is frequently measured in studies evaluating treatments for anxiety disorders.[2] (3) Treatment effect is the impact of a medical intervention, such as the therapeutic effect of the combination of etanercept and methotrexate in rheumatoid arthritis.[3] (4) Treatment effects encompass the changes or outcomes observed in a patient's condition as a result of receiving a medical intervention, such as TMS, which can be assessed using various measures.[4] (5) Two-way repeated-measures analysis of variance showed significant time [within-group changes, F(3.2, 182.5) = 30.39, P < 0.001], treatment [between-group differences regardless of time, F(2, 57) = 50.24, P < 0.001] and interaction [between-group differences based on time, F(6.4, 182.5) = 37.65, P < 0.001] effects on HR.[5]