[HTML][HTML] Validation of a novel online depression symptom severity rating scale: the R8 Depression

Y Takao, E Figueroa, KFJ Berna, Y Jo… - Health and Quality of …, 2021 - Springer
Background An automated web-based assessment and monitoring system (www. psynary.
com) has been developed to assist non-specialist clinicians in managing common mood …

Early symptomatic improvements as a predictor of response to repeated-dose intravenous ketamine: results from the Canadian Rapid Treatment Center of Excellence

O Lipsitz, RS McIntyre, NB Rodrigues, TS Kaster… - Progress in Neuro …, 2021 - Elsevier
Background Early symptomatic improvement with monoamine-based antidepressants is
predictive of treatment response. The objective of this study was to determine if early …

Esketamine vs Midazolam in Boosting the Efficacy of Oral Antidepressants for Major Depressive Disorder: A Pilot Randomized Clinical Trial

C Xiao, J Zhou, A Li, L Zhang, X Zhu, J Zhou… - JAMA Network …, 2023 - jamanetwork.com
Importance Loss of a previously effective response while still using adequate antidepressant
treatment occurs in a relatively high proportion of patients with major depressive disorder …

[HTML][HTML] Concordance of the treatment patterns for major depressive disorders between the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm …

L Yang, Y Su, S Dong, T Wu, Y Zhang, H Qiu… - Frontiers in …, 2022 - frontiersin.org
Background: Antidepressant (AD) algorithm is an important tool to support treatment
decision-making and improve management of major depressive disorder (MDD). However …

[PDF][PDF] Managing inadequate antidepressant response in depressive illness

PM Haddad, PS Talbot, IM Anderson… - British medical …, 2015 - researchgate.net
Introduction or background: Depression frequently fails to respond to initial treatment.
Sources of data: Predominantly meta-analyses and RCTs but supplemented where …

The comparison of effectiveness of various potential predictors of response to treatment with SSRIs in patients with depressive disorder

M Bares, T Novak, M Brunovsky… - The Journal of …, 2017 - journals.lww.com
The substantial non-response rate in depressive patients indicates a continuing need to
identify predictors of treatment outcome. The aim of this 6-week, open-label study was (1) to …

Baseline anxiety, and early anxiety/depression improvement in anxious depression predicts treatment outcomes with escitalopram: A CAN-BIND-1 study report

Y Khoo, I Demchenko, BN Frey, RV Milev… - Journal of Affective …, 2022 - Elsevier
Introduction Although anxiety symptoms frequently co-occur with major depressive disorder,
few studies examined the prediction of treatment outcomes among participants with anxious …

Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR* D and CAN-BIND …

T Phaterpekar, JJ Nunez, E Morton, YS Liu… - The Journal of …, 2023 - psychiatrist.com
Background: Quality of life (QoL) is an important patient-centric outcome to evaluate in
treatment of major depressive disorder (MDD). This work sought to investigate the …

Identification of first-episode unmedicated major depressive disorder using pretreatment features of dominant coactivation patterns

Z Hou, Y Kong, Y Yin, Y Zhang, Y Yuan - Progress in Neuro …, 2021 - Elsevier
Identifying neuroimaging features to diagnose major depressive disorder (MDD) and predict
treatment response remains challenging. Using the pretreatment dominant coactivation …

[HTML][HTML] Dopamine multilocus genetic profile, spontaneous activity of left superior temporal gyrus, and early therapeutic effect in major depressive disorder

X Liu, Z Hou, Y Yin, C Xie, H Zhang, H Zhang… - Frontiers in …, 2020 - frontiersin.org
Objectives: This study aimed to examine the interactive effects of dopamine (DA) pathway
gene and disease on spontaneous brain activity and further to explore the relationship …