The potential of predictive analytics to provide clinical decision support in depression treatment planning

Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report

Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Nierenberg, A. A., Stewart, J. W., Warden, D., Niederehe, G., Thase, M. E., Lavori, P. W., Lebowitz, B. D., et al. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.11.1905 · Cited by 5,643 · cited 1× · see citing works

Cross-national epidemiology of DSM-IV major depressive episode

Bromet, E., Andrade, L. H., Hwang, I., Sampson, N. A., Alonso, J., de Girolamo, G., de Graaf, R., Demyttenaere, K., Hu, C., Iwata, N., et al. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-90 · Cited by 2,221 · see citing works

Resting-state connectivity biomarkers define neurophysiological subtypes of depression

Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., et al. (2017) · Nature Medicine · doi:10.1038/nm.4246 · Cited by 2,170 · see citing works

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder

Kennedy, S. H., Lam, R. W., McIntyre, R. S., Tourjman, S. V., Bhat, V., Blier, P., Hasnain, M., Jollant, F., Levitt, A. J., MacQueen, G. M., et al. (2016) · The Canadian Journal of Psychiatry · doi:10.1177/0706743716659417 · Cited by 1,150 · see citing works

Undertreatment of people with major depressive disorder in 21 countries

Thornicroft, G., Chatterji, S., Evans-Lacko, S., Gruber, M., Sampson, N., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Andrade, L., Borges, G., et al. (2017) · British Journal of Psychiatry · doi:10.1192/bjp.bp.116.188078 · Cited by 1,121 · see citing works

Guided Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: a systematic review and meta-analysis

Andersson, G., Cuijpers, P., Carlbring, P., Riper, H., & Hedman, E. (2014) · World Psychiatry · doi:10.1002/wps.20151 · Cited by 1,077 · see citing works

Distributed Disturbances in Brain Structure and Function in Schizophrenia

Lewis, D. A. (2000) · American Journal of Psychiatry · doi:10.1176/ajp.157.1.1 · Cited by 971 · see citing works

The Costs of Depression

Kessler, R. C. (2012) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2011.11.005 · Cited by 871 · see citing works

Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders

Malhi, G. S., Bassett, D., Boyce, P., Bryant, R., Fitzgerald, P. B., Fritz, K., Hopwood, M., Lyndon, B., Mulder, R., Murray, G., et al. (2015) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867415617657 · Cited by 842 · see citing works

Differential responses to psychotherapy versus pharmacotherapy in patients with chronic forms of major depression and childhood trauma

Nemeroff, C. B., Heim, C. M., Thase, M. E., Klein, D. N., Rush, A. J., Schatzberg, A. F., Ninan, P. T., McCullough, J. P., Weiss, P. M., Dunner, D. L., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2336126100 · Cited by 829 · see citing works

Estimating Individualized Treatment Rules Using Outcome Weighted Learning

Zhao, Y., Zeng, D., Rush, A. J., & Kosorok, M. R. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2012.695674 · Cited by 746 · see citing works

Inflammation and clinical response to treatment in depression: A meta-analysis

Strawbridge, R., Arnone, D., Danese, A., Papadopoulos, A., Herane Vives, A., & Cleare, A. J. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.06.007 · Cited by 666 · see citing works

Comparative Efficacy of Seven Psychotherapeutic Interventions for Patients with Depression: A Network Meta-Analysis

Barth, J., Munder, T., Gerger, H., Nüesch, E., Trelle, S., Znoj, H., Jüni, P., & Cuijpers, P. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001454 · Cited by 569 · see citing works

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder

Parikh, S. V., Quilty, L. C., Ravitz, P., Rosenbluth, M., Pavlova, B., Grigoriadis, S., Velyvis, V., Kennedy, S. H., Lam, R. W., MacQueen, G. M., et al. (2016) · The Canadian Journal of Psychiatry · doi:10.1177/0706743716659418 · Cited by 562 · see citing works

Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder

McGrath, C. L., Kelley, M. E., Holtzheimer, P. E., Dunlop, B. W., Craighead, W. E., Franco, A. R., Craddock, R. C., & Mayberg, H. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.143 · Cited by 561 · see citing works

The efficacy of psychotherapy and pharmacotherapy in treating depressive and anxiety disorders: a meta‐analysis of direct comparisons

Cuijpers, P., Sijbrandij, M., Koole, S. L., Andersson, G., Beekman, A. T., & Reynolds, C. F. (2013) · World Psychiatry · doi:10.1002/wps.20038 · Cited by 540 · see citing works

Practice guideline for the treatment of patients with major depressive disorder (revision). American Psychiatric Association.

(2000) · PubMed · Cited by 509 · see citing works

Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power

Judd, C. M., Westfall, J., & Kenny, D. A. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033702 · Cited by 466 · see citing works

Correcting for Optimistic Prediction in Small Data Sets

Smith, G. C. S., Seaman, S. R., Wood, A., Royston, P. J., & White, I. R. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu140 · Cited by 354 · see citing works

Systematic review of prognostic models in traumatic brain injury

Perel, P., Edwards, P. J., Wentz, R., & Roberts, I. (2006) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-6-38 · Cited by 343 · see citing works

Meta-review of depressive subtyping models

Harald, B., & Gordon, P. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.07.015 · Cited by 328 · cited 1× · see citing works

Data-driven subtypes of major depressive disorder: a systematic review

van Loo, H. M., de Jonge, P., Romeijn, J., Kessler, R. C., & Schoevers, R. A. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-156 · Cited by 320 · see citing works

Measurement-based care versus standard care for major depression: A randomized controlled trial with blind raters

Guo, T., Xiang, Y.-T., Xiao, L., Hu, C.-Q., Chiu, H. F. K., Ungvari, G. S., Correll, C. U., Lai, K. Y. C., Feng, L., Geng, Y., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14050652 · Cited by 308 · see citing works

Tutorial in biostatistics: data‐driven subgroup identification and analysis in clinical trials

Lipkovich, I., Dmitrienko, A., & B., R. (2017) · Statistics in Medicine · doi:10.1002/sim.7064 · Cited by 291 · see citing works

A systematic review of comparative efficacy of treatments and controls for depression

Khan, A., Faucett, J., Lichtenberg, P., Kirsch, I., & Brown, W. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041778 · Cited by 288 · see citing works

Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design

Trivedi, M. H., McGrath, P. J., Fava, M., Parsey, R. V., Kurian, B. T., Phillips, M. L., Oquendo, M. A., Bruder, G., Pizzagalli, D., Toups, M., et al. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.03.001 · Cited by 286 · see citing works

Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial

Ebert, D. D., Berking, M., Cuijpers, P., Lehr, D., Pörtner, M., & Baumeister, H. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.01.056 · Cited by 268 · cited 1× · see citing works

Identifying Predictors, Moderators, and Mediators of Antidepressant Response in Major Depressive Disorder: Neuroimaging Approaches

Phillips, M. L., Chase, H. W., Sheline, Y. I., Etkin, A., Almeida, J. R. C., Deckersbach, T., & Trivedi, M. H. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14010076 · Cited by 267 · see citing works

Untitled work

(2012) · Re-Unir (International University of La Rioja) · Cited by 262 · see citing works

Common Genetic Variation and Antidepressant Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Genome-Wide Pharmacogenetic Studies

GENDEP Investigators, MARS Investigators, STAR*D Investigators, Uher, R., Tansey, K. E., Henigsberg, N., Wolfgang, M. C., Mors, O. N., Hauser, J., Placentino, A., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12020237 · Cited by 241 · see citing works

Socio-demographic and clinical predictors of non-response/non-remission in treatment resistant depressed patients: A systematic review

Carlo, V. D., Calati, R., & Serretti, A. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.04.034 · Cited by 219 · see citing works

Predicting Optimal Outcomes in Cognitive Therapy or Interpersonal Psychotherapy for Depressed Individuals Using the Personalized Advantage Index Approach

Huibers, M. J. H., Cohen, Z. D., Lemmens, L. H. J. M., Arntz, A., Peeters, F. P. M. L., Cuijpers, P., & DeRubeis, R. J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0140771 · Cited by 215 · see citing works

Primary Care Patients’ Involvement in Decision-Making Is Associated With Improvement in Depression

Clever, S. L., Ford, D. E., Rubenstein, L. V., ROST, K. M., Meredith, L. S., Sherbourne, C. D., Wang, N., Arbelaez, J. J., & Cooper, L. A. (2006) · Medical Care · doi:10.1097/01.mlr.0000208117.15531.da · Cited by 210 · see citing works

Vagal nerve stimulation for treatment-resistant depression

Carreno, F. R., & Frazer, A. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0537-8 · Cited by 208 · see citing works

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

Kessler, R. C., van Loo, H. M., Wardenaar, K. J., Bossarte, R. M., Brenner, L. A., Ebert, D. D., de Jonge, P., Nierenberg, A. A., Rosellini, A. J., Sampson, N. A., et al. (2016) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796016000020 · Cited by 193 · see citing works

The influence of patient preference on depression treatment in primary care

Lin, P., Campbell, D. G., Chaney, E. F., Liu, C.-F., Heagerty, P., Felker, B. L., & Hedrick, S. C. (2005) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3002_9 · Cited by 192 · see citing works

Combining pharmacotherapy and psychotherapy or monotherapy for major depression? A meta-analysis on the long-term effects

Karyotaki, E., Smit, Y., Holdt Henningsen, K., Huibers, M. J. H., Robays, J., de Beurs, D., & Cuijpers, P. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.01.036 · Cited by 189 · see citing works

Differential efficacy of escitalopram and nortriptyline on dimensional measures of depression

Uher, R., Maier, W., Hauser, J., Marušič†, A., Schmael, C., Mors, O. N., Henigsberg, N., Souery, D., Placentino, A., Rietschel, M., et al. (2009) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.108.057554 · Cited by 183 · see citing works

Estimating treatment effects for individual patients based on the results of randomised clinical trials

Dorresteijn, J. A. N., Visseren, F. L. J., Ridker, P. M., Wassink, A. M. J., Paynter, N. P., Steyerberg, E. W., van der Graaf, Y., & Cook, N. R. (2011) · BMJ · doi:10.1136/bmj.d5888 · Cited by 177 · see citing works

Self-guided internet-based and mobile-based stress management for employees: results of a randomised controlled trial

Ebert, D. D., Heber, E., Berking, M., Riper, H., Cuijpers, P., Funk, B., & Lehr, D. (2016) · Occupational and Environmental Medicine · doi:10.1136/oemed-2015-103269 · Cited by 176 · see citing works

Effectiveness of psychological interventions in preventing recurrence of depressive disorder: Meta-analysis and meta-regression

Biesheuvel-Leliefeld, K. E. M., Kok, G. D., Bockting, C. L. H., Cuijpers, P., Hollon, S. D., van Marwijk, H. W. J., & Smit, F. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.016 · Cited by 175 · see citing works

PERSONALIZED TREATMENT OF ADULT DEPRESSION: MEDICATION, PSYCHOTHERAPY, OR BOTH? A SYSTEMATIC REVIEW

Cuijpers, P. J., Reynolds, C. F., Donker, T., Li, J., Andersson, G., & Beekman, A. T. F. (2012) · Depression and Anxiety · doi:10.1002/da.21985 · Cited by 166 · see citing works

Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials

Ebert, D. D., Donkin, L., Andersson, G., Andrews, G., Berger, T., Carlbring, P., Rozenthal, A., Choi, I., Laferton, J. A. C., Johansson, R., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291716001562 · Cited by 154 · see citing works

Personalized Medicine: Review and Perspectives of Promising Baseline EEG Biomarkers in Major Depressive Disorder and Attention Deficit Hyperactivity Disorder

Olbrich, S., van Dinteren, R., & Arns, M. (2015) · Neuropsychobiology · doi:10.1159/000437435 · Cited by 146 · see citing works

Economic evaluations of internet- and mobile-based interventions for the treatment and prevention of depression: A systematic review

Paganini, S., Teigelkötter, W., Buntrock, C., & Baumeister, H. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.018 · Cited by 144 · see citing works

European Psychiatric Association Guidance on psychotherapy in chronic depression across Europe

Jobst, A., Brakemeier, E., Buchheim, A., Caspar, F., Cuijpers, P., Ebmeier, K. P., Falkai, P., van der, G. R. J., Gaebel, W., Herpertz, S., et al. (2016) · European psychiatry · doi:10.1016/j.eurpsy.2015.12.003 · Cited by 143 · see citing works

The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response

Biernacka, J. M., Sangkuhl, K., Jenkins, G., Whaley, R. M., Barman, P., Batzler, A., Altman, R. B., Arolt, V, Brockmöller, J., Chen, C. H., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.47 · Cited by 140 · see citing works

Effects of Patient Preferences on Outcomes in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) Study

Dunlop, B. W., Kelley, M. E., Aponte‐Rivera, V., Mletzko, T., Kinkead, B. L., Ritchie, J., Nemeroff, C. B., Craighead, W. E., Mayberg, H. S., & for the PReDICT Team (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16050517 · Cited by 139 · see citing works

Inflammatory Biomarkers as Differential Predictors of Antidepressant Response

Hashimoto, K. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms16047796 · Cited by 138 · see citing works

Does Pharmacogenomic Testing Improve Clinical Outcomes for Major Depressive Disorder?: A Systematic Review of Clinical Trials and Cost-Effectiveness Studies

Rosenblat, J. D., Lee, Y., & McIntyre, R. S. (2017) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.15r10583 · Cited by 138 · see citing works

Evidence-Based Recommendations for the Prescription of Exercise for Major Depressive Disorder

Rethorst, C. D., & Trivedi, M. H. (2013) · Journal of Psychiatric Practice · doi:10.1097/01.pra.0000430504.16952.3e · Cited by 137 · see citing works

Neurochemical correlates of rapid treatment response to electroconvulsive therapy in patients with major depression

Njau, S. N., Joshi, S. H., Espinoza, R. T., Leaver, A. M., Vasavada, M. M., Marquina, A., Woods, R. P., & Narr, K. L. (2016) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.150177 · Cited by 134 · see citing works

Combination Psychotherapy and Antidepressant Medication Treatment for Depression: For Whom, When, and How

Craighead, W. E., & Dunlop, B. W. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.121208.131653 · Cited by 129 · see citing works

Childhood maltreatment and differential treatment response and recurrence in adult major depressive disorder.

Harkness, K. L., Bagby, R. M., & Kennedy, S. H. (2012) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0027665 · Cited by 110 · see citing works

Divergent outcomes in cognitive-behavioral therapy and pharmacotherapy for adult depression

Vittengl, J. R., Jarrett, R. B., Weitz, E., Hollon, S. D., Twisk, J., Cristea, I., David, D., DeRubeis, R. J., Dimidjian, S., Dunlop, B. W., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15040492 · Cited by 97 · cited 1× · see citing works

A prognostic index (PI) as a moderator of outcomes in the treatment of depression: A proof of concept combining multiple variables to inform risk-stratified stepped care models

Lorenzo‐Luaces, L., DeRubeis, R. J., van Straten, A., & Tiemens, B. G. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.02.010 · Cited by 96 · see citing works

Drop out from out-patient mental healthcare in the World Health Organization's World Menta Health Survey initiative

Wells, J. E., Browne, M. A. O., Aguilar‐Gaxiola, S., Al-Hamzawi, A., Alonso, J., Angermeyer, M. C., Bouzan, C., Bruffaerts, R., Bunting, B., Caldas‐de‐Almeida, J. M., et al. (2012) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.112.113134 · Cited by 92 · see citing works

Psychotherapy Versus Second-Generation Antidepressants in the Treatment of Depression

Spielmans, G. I., Berman, M. I., & Usitalo, A. N. (2011) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0b013e31820caefb · Cited by 91 · see citing works

Comparative efficacy and tolerability of pharmacological and somatic interventions in adult patients with treatment-resistant depression: a systematic review and network meta-analysis

Papadimitropoulou, K., Vossen, C., Karabis, A., Donatti, C., & Kubitz, N. (2017) · Current Medical Research and Opinion · doi:10.1080/03007995.2016.1277201 · Cited by 91 · see citing works

Efficacy and cost-effectiveness of minimal guided and unguided internet-based mobile supported stress-management in employees with occupational stress: a three-armed randomised controlled trial

Ebert, D. D., Lehr, D., Smit, F., Zarski, A.-C., Riper, H., Heber, E., Cuijpers, P., & Berking, M. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-807 · Cited by 82 · see citing works

Consensus paper of the WFSBP Task Force on Genetics: Genetics, epigenetics and gene expression markers of major depressive disorder and antidepressant response

Fabbri, C., Hosák, L., Mößner, R., Giegling, I., Mandelli, L., Bellivier, F., Claes, S. J., Collier, D. A., Corrales, A., DeLisi, L. E., et al. (2016) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2016.1208843 · Cited by 81 · see citing works

Pharmacokinetic Pharmacogenetic Prescribing Guidelines for Antidepressants: A Template for Psychiatric Precision Medicine

Nassan, M. M., Nicholson, W. T., Elliott, M. A., Vitek, C. R. R., Black, J. L., & Frye, M. A. (2016) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2016.02.023 · Cited by 76 · see citing works

Investigational drugs in recent clinical trials for treatment-resistant depression

Garay, R. P., Zarate, C. A., Charpeaud, T., Citrome, L., Correll, C. U., Hameg, A., & Llorca, P. (2017) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2017.1283217 · Cited by 74 · see citing works

Executive dysfunction and treatment response in late‐life depression

Pimontel, M. A., Culang‐Reinlieb, M. E., Morimoto, S. S., & Sneed, J. R. (2011) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2808 · Cited by 72 · see citing works

Abnormal functional connectivity within resting-state networks is related to rTMS-based therapy effects of treatment resistant depression: A pilot study

Ge, R., Blumberger, D. M., Downar, J. H., Daskalakis, Z. J., Dipinto, A. A., Tham, J. C. W., Lam, R. W. M., & Vila‐Rodriguez, F. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.060 · Cited by 72 · see citing works

Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools

Bousman, C., Forbes, M., Jayaram, M., Eyre, H. A., Reynolds, C. F., Berk, M., Hopwood, M., & Ng, C. H. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1230-5 · Cited by 72 · see citing works

Effectiveness of a Web-Based Guided Self-help Intervention for Outpatients With a Depressive Disorder: Short-term Results From a Randomized Controlled Trial

Kenter, R., Cuijpers, P., Beekman, A., & van Straten, A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4861 · Cited by 66 · see citing works

Combination of pharmacotherapy and psychotherapy in the treatment of chronic depression: A systematic review and meta-analysis

von Wolff, A., Hölzel, L. P., Westphal, A., Härter, M. C., & Kriston, L. (2012) · BMC Psychiatry · doi:10.1186/1471-244x-12-61 · Cited by 64 · see citing works

Optimal Individualized Treatments in Resource-Limited Settings

Luedtke, A. R., & van der Laan, M. J. (2016) · The International Journal of Biostatistics · doi:10.1515/ijb-2015-0007 · Cited by 64 · see citing works

Using biomarkers to predict treatment response in major depressive disorder: evidence from past and present studies

Thase, M. E. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.4/mthase · Cited by 57 · see citing works

EEG Abnormalities Are Associated With Poorer Depressive Symptom Outcomes With Escitalopram and Venlafaxine-XR, but Not Sertraline

Arns, M., Gordon, E., & Boutros, N. N. (2015) · Clinical EEG and Neuroscience · doi:10.1177/1550059415621435 · Cited by 51 · see citing works

Does early-onset chronic or recurrent major depression impact outcomes with antidepressant medications? A CO-MED Trial Report

Sung, S. C., Wisniewski, S. R., Balasubramani, G. K., Zisook, S., Kurian, B. T., Warden, D., Trivedi, M. H., & Rush, A. J. (2012) · Psychological Medicine · doi:10.1017/s0033291712001742 · Cited by 49 · see citing works

Measuring the Cost of Quality Measurement

Schuster, M. A., Onorato, S. E., & Meltzer, D. (2017) · JAMA · doi:10.1001/jama.2017.11525 · Cited by 46 · see citing works

Digital Technology and Clinical Decision-Making in Depression Treatment: Current Findings and Future Opportunities

Hallgren, K. A., Bauer, A. M., & Atkins, D. C. (2017) · Depression and Anxiety · doi:10.1002/da.22640 · Cited by 45 · see citing works

Melancholic and atypical depression as predictor and moderator of outcome in cognitive behavior therapy and pharmacotherapy for adult depression

Cuijpers, P. J., Weitz, E. S., Lamers, F., Penninx, B. W. J. H., Twisk, J. W. R., DeRubeis, R. J., Dimidjian, S., Dunlop, B. W., Jarrett, R. B., Segal, Z. V., et al. (2016) · Depression and Anxiety · doi:10.1002/da.22580 · Cited by 41 · see citing works

Recent advances in predicting responses to antidepressant treatment

Frodl, T. (2017) · F1000Research · doi:10.12688/f1000research.10300.1 · Cited by 40 · see citing works

Blood-based immune-endocrine biomarkers of treatment response in depression

Chan, M. K., Cooper, J. D., Bot, M., Birkenhäger, T. K., Bergink, V., Drexhage, H. A., Steiner, J. H., Rothermundt, M., Penninx, B. W. J. H., & Bahn, S. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.08.020 · Cited by 35 · see citing works

Psychotherapy Versus Pharmacotherapy of Depression: What’s the Evidence?

Leichsenring, F., Steinert, C., & Hoyer, J. (2016) · Zeitschrift für psychosomatische Medizin und Psychotherapie · doi:10.13109/zptm.2016.62.2.190 · Cited by 32 · see citing works

Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial

Gadad, B. S., Jha, M. K., Grannemann, B. D., Mayes, T. L., & Trivedi, M. H. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.05.012 · Cited by 30 · see citing works

Evaluating the impact of treating the optimal subgroup

Luedtke, A. R., & van der Laan, M. J. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280217708664 · Cited by 27 · see citing works

Time to remission from mild to moderate depressive symptoms: One year results from the EVIDENT-study, an RCT of an internet intervention for depression

Klein, J. P., Späth, C., Schröder, J., Meyer, B., Greiner, W., Hautzinger, M., Lutz, W., Rose, M., Vettorazzi, E., Andersson, G., et al. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.07.013 · Cited by 25 · see citing works

Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study

Petkova, E., Ogden, R. T., Tarpey, T., Ciarleglio, A., Jiang, B., Su, Z., Carmody, T. J., Adams, P., KRAEMER, H. C., Grannemann, B. D., et al. (2017) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2017.02.007 · Cited by 23 · see citing works

Daily activity level improvement with antidepressant medications predicts long-term clinical outcomes in outpatients with major depressive disorder

Jha, M. K., Teer, R., Minhajuddin, A., Greer, T. L., Rush, A. J., & Trivedi, M. H. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s128407 · Cited by 23 · see citing works

Veterans with depression in primary care: Provider preferences, matching, and care satisfaction.

Waltz, T. J., Campbell, D. G., Kirchner, J. E., Lombardero, A., Bolkan, C. R., Zivin, K., Lanto, A. B., Chaney, E. F., & Rubenstein, L. V. (2014) · Families Systems & Health · doi:10.1037/fsh0000071 · Cited by 19 · see citing works

The impact of childhood maltreatment on the differential efficacy of CBASP versus escitalopram in patients with chronic depression: A secondary analysis

Bausch, P., Fangmeier, T., Zobel, I., Schoepf, D., Drost, S., Schnell, K., Walter, H., Berger, T., Normann, C., & Schramm, E. (2017) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2081 · Cited by 19 · see citing works

Toward an online cognitive and emotional battery to predict treatment remission in depression

Rekshan, W. R., Gordon, E., Palmer, D., Braund, T. A., & Rush, A. J. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s75975 · Cited by 16 · see citing works

The science of risk models

Prieto‐Merino, D., & Pocock, S. (2012) · European Journal of Preventive Cardiology · doi:10.1177/2047487312448995 · Cited by 11 · see citing works

The role of APOE-ɛ4 and beta amyloid in the differential rate of recovery from ECT: a review

Sutton, T. A., Sohrabi, H. R., Rainey‐Smith, S. R., Bird, S. M., Weinborn, M., & Martins, R. N. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.39 · Cited by 7 · see citing works

WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders.

Auerbach, R. P., Collaborators, W. W.-I., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Green, J. G., et al. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000362 · Cited by 2,522 · see citing works

Time for united action on depression: a Lancet–World Psychiatric Association Commission

Herrman, H., Patel, V., Kieling, C., Berk, M., Buchweitz, C., Cuijpers, P., Furukawa, T. A., Kessler, R. C., Kohrt, B. A., Maj, M., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02141-3 · Cited by 1,104 · see citing works

Treatment selection in depression.

Cohen, Z. D., & DeRubeis, R. J. (2018) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050817-084746 · Cited by 435 · see citing works

The clinical characterization of the adult patient with depression aimed at personalization of management

Maj, M., Stein, D. J., Parker, G., Zimmerman, M., Fava, G. A., De Hert, M., Demyttenaere, K., McIntyre, R. S., Widiger, T., & Wittchen, H. (2020) · World Psychiatry · doi:10.1002/wps.20771 · Cited by 435 · see citing works

Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications

Li, Z., Ruan, M., Chen, J., & Fang, Y. (2021) · Neuroscience Bulletin · doi:10.1007/s12264-021-00638-3 · Cited by 352 · see citing works

The clinical characterization of the patient with primary psychosis aimed at personalization of management

Maj, M., van Os, J., De Hert, M., Gaebel, W., Galderisi, S., Green, M. F., Guloksuz, S., Harvey, P. D., Jones, P. B., Malaspina, D., et al. (2021) · World Psychiatry · doi:10.1002/wps.20809 · Cited by 285 · see citing works

The World Health Organization World Mental Health International College Student initiative: An overview

Cuijpers, P., Auerbach, R. P., Benjet, C., Bruffaerts, R., Ebert, D., Karyotaki, E., & Kessler, R. C. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1761 · Cited by 190 · see citing works

Sample size requirements for multivariate models to predict between-patient differences in best treatments of major depressive disorder

Luedtke, A., Sadikova, E., & Kessler, R. C. (2019) · Clinical Psychological Science · doi:10.1177/2167702618815466 · Cited by 143 · see citing works

Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis

Sajjadian, M., Lam, R. W. M., Milev, R. V., Rotzinger, S., Frey, B. N., Soares, C. N., Parikh, S. V., Foster, J. A., Turecki, G., Müller, D. J., et al. (2021) · Psychological Medicine · doi:10.1017/s0033291721003871 · Cited by 159 · see citing works

A demonstration of a multi-method variable selection approach for treatment selection: Recommending cognitive–behavioral versus psychodynamic therapy for mild to moderate adult depression

Cohen, Z. D., Kim, T. T., Van, H. L., Dekker, J., & Driessen, E. (2019) · Psychotherapy Research · doi:10.1080/10503307.2018.1563312 · Cited by 122 · see citing works

Findings from World Mental Health Surveys of the perceived helpfulness of treatment for patients with major depressive disorder

Harris, M. G., Kazdin, A. E., Chiu, W. T., Sampson, N. A., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Altwaijri, Y., Andrade, L. H., Cardoso, G., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.1107 · Cited by 100 · see citing works

Machine learning methods for developing precision treatment rules with observational data

Kessler, R. C., Bossarte, R. M., Luedtke, A. R., Zaslavsky, A. M., & Zubizarreta, J. R. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103412 · Cited by 84 · see citing works

Precision medicine for long-term depression outcomes using the Personalized Advantage Index approach: cognitive therapy or interpersonal psychotherapy?

van Bronswijk, S. C., DeRubeis, R. J., Lemmens, L. H. J. M., Peeters, F. P. M. L., Keefe, J. R., Cohen, Z. D., & Huibers, M. J. H. (2021) · Psychological Medicine · doi:10.1017/s0033291719003192 · Cited by 75 · see citing works

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications

Ebert, D. D., Harrer, M., Apolinário-Hagen, J., & Baumeister, H. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-32-9721-0_29 · Cited by 76 · see citing works

Rapid effectiveness of intravenous ketamine for ultraresistant depression in a clinical setting and evidence for baseline anhedonia and bipolarity as clinical predictors of effectiveness

Thomas, R. K., Baker, G., Lind, J., & Dursun, S. (2018) · Journal of Psychopharmacology · doi:10.1177/0269881118793104 · Cited by 69 · see citing works

Predicting patients who will drop out of out-patient psychotherapy using machine learning algorithms

Bennemann, B., Schwartz, B., Giesemann, J., & Lutz, W. (2022) · British Journal of Psychiatry · doi:10.1192/bjp.2022.17 · Cited by 55 · see citing works

Personalized Medicine and Cognitive Behavioral Therapies for Depression: Small Effects, Big Problems, and Bigger Data

Lorenzo‐Luaces, L., Peipert, A., Jesús-Romero, R. D., Rutter, L. A., & Rodríguez‐Quintana, N. (2020) · International Journal of Cognitive Therapy · doi:10.1007/s41811-020-00094-3 · Cited by 62 · see citing works

Major Depressive Disorder: Existing Hypotheses about Pathophysiological Mechanisms and New Genetic Findings

Kamran, M., Bibi, F., Rehman, A. U., & Morris, D. W. (2022) · Genes · doi:10.3390/genes13040646 · Cited by 62 · see citing works

Cross-trial prediction in psychotherapy: External validation of the Personalized Advantage Index using machine learning in two Dutch randomized trials comparing CBT versus IPT for depression

van Bronswijk, S. C., Bruijniks, S. J. E., Lorenzo‐Luaces, L., DeRubeis, R. J., Lemmens, L. H. J. M., Peeters, F. P. M. L., & Huibers, M. J. H. (2020) · Psychotherapy Research · doi:10.1080/10503307.2020.1823029 · Cited by 59 · see citing works

Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions

McNamara, M. E., Zisser, M., Beevers, C. G., & Shumake, J. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104086 · Cited by 56 · see citing works

Individual Differences in Response to Antidepressants

Maslej, M. M., Furukawa, T. A., Cipriani, A., Andrews, P. W., Sanches, M., Tomlinson, A., Volkmann, C., McCutcheon, R. A., Howes, O. D., Guo, X., et al. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.4564 · Cited by 55 · see citing works

Early onset of depression and treatment outcome in patients with major depressive disorder

Herzog, D. P., Wagner, S., Engelmann, J., Treccani, G., Dreimüller, N., Müller, M. B., Tadić, A., Murck, H., & Lieb, K. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.048 · Cited by 52 · see citing works

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): progress toward understanding suicide among soldiers

Naifeh, J. A., Mash, H. B. H., Stein, M. B., Fullerton, C. S., Kessler, R. C., & Ursano, R. J. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0197-z · Cited by 50 · see citing works

Risk Factors Associated With Attempted Suicide Among US Army Soldiers Without a History of Mental Health Diagnosis

Ursano, R. J., Kessler, R. C., Naifeh, J. A., Mash, H. B. H., Nock, M. K., Aliaga, P. A., Fullerton, C. S., Wynn, G. H., Ng, T. H. H., Dinh, H. M., et al. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.2069 · Cited by 49 · see citing works

The history, current status, and possible future of precision mental health

DeRubeis, R. J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103506 · Cited by 46 · see citing works

The Role of Big Data Analytics in Predicting Suicide

Kessler, R. C., Bernecker, S. L., Bossarte, R. M., Luedtke, A. R., McCarthy, J. F., Nock, M. K., Pigeon, W. R., Petukhova, M. V., Sadikova, E., VanderWeele, T. J., et al. (2019) · Personalized Psychiatry · doi:10.1007/978-3-030-03553-2_5 · Cited by 44 · see citing works

Investigation of Active Ingredients Within Internet-Delivered Cognitive Behavioral Therapy for Depression: A Randomized Optimization Trial

Watkins, E., Newbold, A., Tester-Jones, M., Collins, L. M., & Mostazir, M. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.1937 · Cited by 40 · see citing works

Evaluation of randomized controlled trials: a primer and tutorial for mental health researchers

Harrer, M., Cuijpers, P. J., Schuurmans, L., Kaiser, T., Buntrock, C., van Straten, A., & Ebert, D. D. (2023) · Trials · doi:10.1186/s13063-023-07596-3 · Cited by 37 · see citing works

Transition to suicide attempt from recent suicide ideation in U.S. Army soldiers: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Naifeh, J. A., Ursano, R. J., Kessler, R. C., Zaslavsky, A. M., Nock, M. K., Dempsey, C. L., Bartolanzo, D., Ng, T. H. H., Aliaga, P. A., Zuromski, K. L., et al. (2018) · Depression and Anxiety · doi:10.1002/da.22870 · Cited by 38 · see citing works

Patterns and correlates of patient‐reported helpfulness of treatment for common mental and substance use disorders in the <scp>WHO</scp> World Mental Health Surveys

Kessler, R. C., Kazdin, A. E., Aguilar‐Gaxiola, S., Al‐Hamzawi, A., Alonso, J., Altwaijri, Y. A., Andrade, L. H., Benjet, C., Bharat, C., Borges, G., et al. (2022) · World Psychiatry · doi:10.1002/wps.20971 · Cited by 37 · see citing works

Is social support pre‐treatment associated with prognosis for adults with depression in primary care?

Buckman, J. E. J., Saunders, R., O’Driscoll, C., Cohen, Z. D., Stott, J. C. H., Ambler, G., Gilbody, S. M., Hollon, S. D., Kendrick, T., Watkins, E. R., et al. (2021) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13285 · Cited by 37 · see citing works

Predicting the outcome of psilocybin treatment for depression from baseline fMRI functional connectivity

Copa, D., Erritzøe, D., Giribaldi, B., Nutt, D. J., Carhart-Harris, R. L., & Tagliazucchi, E. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.02.089 · Cited by 34 · see citing works

Recent Developments in the Treatment of Depression

Hollon, S. D., Cohen, Z. D., Singla, D. R., & Andrews, P. W. (2019) · Behavior Therapy · doi:10.1016/j.beth.2019.01.002 · Cited by 34 · see citing works

Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing schema therapy and dialectical behavior therapy

Wibbelink, C. J. M., Arntz, A. R., Grasman, R. P. P. P., Sinnaeve, R., Boog, M., Bremer, O. M. C., Dek, E. C. P., Alkan, S. G., James, C., Koppeschaar, A. M., et al. (2022) · BMC Psychiatry · doi:10.1186/s12888-021-03670-9 · Cited by 33 · see citing works

Neuroplasticity and Mechanisms of Action of Acute and Chronic Treatment with Antidepressants in Preclinical Studies

Rosas-Sánchez, G. U., Germán-Ponciano, L. J., Guillén-Ruiz, G., Cueto‐Escobedo, J., Limón-Vázquez, A. K., Rodríguez‐Landa, J. F., & Soria-Fregozo, C. (2024) · Biomedicines · doi:10.3390/biomedicines12122744 · Cited by 30 · see citing works

Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial

Engelmann, J., Zillich, L., Frank, J., Wagner, S., Cetin, M., Herzog, D. P., Müller, M. B., Tadic, A., Foo, J. C., Sirignano, L., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02032-7 · Cited by 29 · see citing works

Predictive modeling for response to lithium and quetiapine in bipolar disorder

Kim, T. T., Dufour, S. C., Xu, C., Cohen, Z. D., Sylvia, L. G., Deckersbach, T., DeRubeis, R. J., & Nierenberg, A. A. (2019) · Bipolar Disorders · doi:10.1111/bdi.12752 · Cited by 25 · see citing works

The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation

Lee, C. T., Palacios, J. E., Richards, D., Hanlon, A. K., Lynch, K., Harty, S., Claus, N., Swords, L., O’Keane, V., Stephan, K. E., et al. (2023) · BMC Psychiatry · doi:10.1186/s12888-022-04462-5 · Cited by 23 · see citing works

Potential serum biomarkers for the prediction of the efficacy of escitalopram for treating depression

Xu, Y., Wei, H., Zhu, Y., Zhu, Y., Zhang, N., Qin, J., Zhu, X., Yu, M., & Li, Y. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.03.008 · Cited by 25 · see citing works

Polysaccharide Regulation of Intestinal Flora: A Viable Approach to Maintaining Normal Cognitive Performance and Treating Depression

Xinzhou, W., Cheng, L., Liu, Y., Zhang, R., Wu, Z., Weng, P., Zhang, P., & Zhang, X. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.807076 · Cited by 24 · see citing works

The antidepressant standoff: Why it continues and how to resolve it

Ormel, J., Spinhoven, P., de Vries, Y. A., Cramer, A. O. J., Siegle, G. J., Bockting, C. L. H., & Hollon, S. D. (2020) · Psychological Medicine · doi:10.1017/s0033291719003295 · Cited by 22 · see citing works

Interindividual differences in treatment effects based on structural equation models with latent variables: an EffectLiteR tutorial

Mayer, A., Zimmermann, J., Hoyer, J., Salzer, S., Wiltink, J., Leibing, E., & Leichsenring, F. (2020) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2019.1671196 · Cited by 21 · see citing works

Pharmacomicrobiomics of Antidepressants in Depression: A Systematic Review

Brown, L. C., Bobo, W. V., Gall, C. A., Müller, D. J., & Bousman, C. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13071086 · Cited by 25 · see citing works

Symptom Dimension of Interest-Activity Indicates Need for Aripiprazole Augmentation of Escitalopram in Major Depressive Disorder: A CAN-BIND-1 Report

Uher, R., Frey, B. N., Quilty, L. C., Rotzinger, S., Blier, P., Foster, J. A., Müller, D. J., Ravindran, A. V., Soares, C. N., Turecki, G., et al. (2020) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.20m13229 · Cited by 19 · see citing works

Evening Chronotypes With Depression Report Poorer Outcomes of Selective Serotonin Reuptake Inhibitors: A Survey-Based Study of Self-Ratings

Crouse, J. J., Park, S. H., Byrne, E. M., Mitchell, B. L., Chan, K., Scott, J. L., Medland, S. E., Martin, N. G., Wray, N. R., & Hickie, I. B. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.12.023 · Cited by 17 · see citing works

Machine learning to predict clinical remission in depressed patients after acute phase selective serotonin reuptake inhibitor treatment

Zhou, S., Ma, Q., Lou, Y., Lv, X., Tian, H., Wei, J., Zhang, K., Zhu, G., Chen, Q., Si, T., et al. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.03.079 · Cited by 17 · see citing works

Which client with generalized anxiety disorder benefits from a mindfulness ecological momentary intervention versus a self-monitoring app? Developing a multivariable machine learning predictive model

Zainal, N. H., & Newman, M. G. (2024) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2024.102825 · Cited by 18 · see citing works

Optimizing precision medicine for second-step depression treatment: a machine learning approach

Curtiss, J. E., Smoller, J. W., & Pedrelli, P. (2024) · Psychological Medicine · doi:10.1017/s0033291724000497 · Cited by 14 · see citing works

Cardiac autonomic functioning and clinical outcome in adolescent borderline personality disorder over two years

Sigrist, C., Reichl, C., Schmidt, S. J., Brunner, R. M., Kaess, M., & Koenig, J. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110336 · Cited by 16 · see citing works

A placebo prognostic index (PI) as a moderator of outcomes in the treatment of adolescent depression: Could it inform risk-stratification in treatment with cognitive-behavioral therapy, fluoxetine, or their combination?

Lorenzo‐Luaces, L., Rodríguez‐Quintana, N., Riley, T. N., & Weisz, J. R. (2020) · Psychotherapy Research · doi:10.1080/10503307.2020.1747657 · Cited by 14 · see citing works

New Directions in Research on Heterogeneity of Treatment Effects for Major Depression

Luedtke, A. R., & Kessler, R. C. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.4489 · Cited by 14 · see citing works

Internet- and App-Based Stress Intervention for Distance-Learning Students With Depressive Symptoms: Protocol of a Randomized Controlled Trial

Harrer, M., Apolinário-Hagen, J., Fritsche, L., Drüge, M., Krings, L., Beck, K., Salewski, C., Zarski, A., Lehr, D., Baumeister, H., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00361 · Cited by 15 · see citing works

An individualized treatment rule to optimize probability of remission by continuation, switching, or combining antidepressant medications after failing a first-line antidepressant in a two-stage randomized trial

Kessler, R. C., Furukawa, T. A., Kato, T., Luedtke, A. R., Petukhova, M. V., Sadikova, E., & Sampson, N. A. (2021) · Psychological Medicine · doi:10.1017/s0033291721000027 · Cited by 13 · see citing works

A personalized index to inform selection of a trauma-focused or non-trauma-focused treatment for PTSD

Stirman, S. W., Cohen, Z. D., Lunney, C. A., DeRubeis, R. J., Wiley, J. F., & Schnurr, P. P. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103872 · Cited by 13 · see citing works

Individual differences in response to once versus twice weekly sessions of CBT and IPT for depression.

Bruijniks, S. J. E., van Bronswijk, S. C., DeRubeis, R. J., Delgadillo, J., Cuijpers, P. J., & Huibers, M. J. H. (2022) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000658 · Cited by 12 · see citing works

Transdiagnostic and tailored internet intervention to improve mental health among university students: Research protocol for a randomized controlled trial

Berman, A. H., Topooco, N., Lindfors, P., Bendtsen, M., Lindner, P., Molander, O., Kraepelien, M., Sundström, C., Talebizadeh, N., Engström, K., et al. (2024) · Trials · doi:10.1186/s13063-024-07986-1 · Cited by 9 · see citing works

What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database

Buckman, J. E. J., Saunders, R., Cohen, Z. D., Clarke, K., Ambler, G., DeRubeis, R. J., Gilbody, S. M., Hollon, S. D., Kendrick, T., Watkins, E. R., et al. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15225.3 · Cited by 11 · see citing works

Early Enhancement of Neuroplasticity Index, the Ratio of Serum Brain-Derived Neurotrophic Factor Level to HAMD-24 Score, in Predicting the Long-Term Antidepressant Efficacy

Zhang, Y., Cui, B., Wang, T., Lu, Y., Chen, Z., Zou, Z., Miao, J., Zhao, X., Yuan, Y., Wang, H., et al. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.712445 · Cited by 11 · see citing works

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning

Mulc, D., Vukojević, J., Kalafatic, E., Cifrek, M., Vidović, D., & Jović, A. (2025) · Sensors · doi:10.3390/s25020409 · Cited by 13 · see citing works

Combined Detection of Serum Brain-Derived Neurotrophic Factor and Interleukin-6 for Evaluating Therapeutic Efficacy in Major Depressive Disorder

Zhang, J., Liu, D., Liu, B., & Xiang, J. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.4c05967 · Cited by 10 · see citing works

Molecular pathways linking the serotonin transporters (SERT) to depressive disorder: from mechanisms to treatments

Murthy, M. K. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.08.009 · Cited by 10 · see citing works

What Works for Whom: Patients' Psychological Resources and Vulnerabilities as Common and Specific Predictors of Working Alliance in Different Psychotherapies

Heinonen, E. O., Knekt, P., & Lindfors, O. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.848408 · Cited by 10 · see citing works

Inclusion of genetic variants in an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response

Shumake, J., Mallard, T. T., McGeary, J. E., & Beevers, C. G. (2021) · Scientific Reports · doi:10.1038/s41598-021-83338-2 · Cited by 10 · see citing works

What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database

Buckman, J. E. J., Saunders, R., Cohen, Z. D., Clarke, K., Ambler, G., DeRubeis, R. J., Gilbody, S. M., Hollon, S. D., Kendrick, T., Watkins, E. R., et al. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15225.1 · Cited by 9 · see citing works

Routinely accessible parameters of mineralocorticoid receptor function, depression subtypes and response prediction: a post-hoc analysis from the early medication change trial in major depressive disorder

Engelmann, J., Murck, H., Wagner, S., Zillich, L., Streit, F., Herzog, D. P., Braus, D. F., Tadić, A., Lieb, K., & Müller, M. B. (2022) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2021.2020334 · Cited by 9 · see citing works

Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study

Benjet, C. L., Kessler, R. C., Kazdin, A. E., Cuijpers, P. J., Albor, Y., Tapias, N. E. C., Contreras‐Ibáñez, C. C., González, M. S. D., Gildea, S. M., González, N., et al. (2022) · Trials · doi:10.1186/s13063-022-06255-3 · Cited by 9 · see citing works

A randomized controlled trial on using predictive algorithm to adapt level of psychological care for community college students: STAND triaging and adapting to level of care study protocol

Wen, A., Wolitzky-Taylor, K. B., Gibbons, R. D., & Craske, M. G. (2023) · Trials · doi:10.1186/s13063-023-07441-7 · Cited by 10 · see citing works

Common polygenic variation in the early medication change (EMC) cohort affects disorder risk, but not the antidepressant treatment response

Müller, S., Lieb, K., Streit, F., Awasthi, S., Wagner, S., Frank, J., Müller, M. B., Tadić, A., Heilmann‐Heimbach, S., Hoffmann, P., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.07.138 · Cited by 7 · see citing works

Resting-state functional connectivity predicting clinical improvement following treatment in female adolescents with non-suicidal self-injury

Mürner-Lavanchy, I. M., Josi, J., Koenig, J., Reichl, C., Brunner, R. M., & Kaess, M. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.01.117 · Cited by 7 · see citing works

Redefining Therapeutic Outcomes of Depression Treatment

Slofstra, C., Booij, S. H., Hoenders, R. H. J., & Castelein, S. (2019) · Journal for Person-Oriented Research · doi:10.17505/jpor.2019.10 · Cited by 8 · see citing works

Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: Secondary analysis of two randomized controlled trials

Harrer, M., Ebert, D. D., Kuper, P. R., Paganini, S., Schlicker, S., Terhorst, Y., Reuter, B., Sander, L., & Baumeister, H. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100634 · Cited by 7 · see citing works

A two-phase, prescriptive comparative effectiveness study to optimize the treatment of co-occurring insomnia and depression with digital interventions

Pigeon, W. R., Bishop, T. M., Bossarte, R. M., Schueller, S. M., & Kessler, R. C. (2023) · Contemporary Clinical Trials · doi:10.1016/j.cct.2023.107306 · Cited by 6 · see citing works

Behavioural and nondirective parent training for children with externalising disorders: First steps towards personalised treatment recommendations

Hautmann, C., Dose, C., Hellmich, M., Scholz, K., Katzmann, J., Pinior, J., Gebauer, S., Nordmann, L., Metternich-Kaizman, T. W., Schürmann, S., et al. (2023) · Behaviour Research and Therapy · doi:10.1016/j.brat.2023.104271 · Cited by 6 · see citing works

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Spinhoven, P., Cuijpers, P., & Hollon, S. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103595 · Cited by 5 · see citing works

The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study

Moriarty, A. S., Paton, L. W., Snell, K. I. E., Riley, R. D., Buckman, J. E. J., Gilbody, S. M., Chew-Graham, C. A., Ali, S., Pilling, S., Meader, N., et al. (2021) · Diagnostic and Prognostic Research · doi:10.1186/s41512-021-00101-x · Cited by 5 · see citing works

Prognostic and prescriptive predictors of PTSD response to prolonged exposure and sertraline

Rosencrans, P. L., Garcia, N. M., Cooper, A. A., Lehinger, E. A., Bagley, J. M., Levine, D. S., Walker, R. M., Rothbaum, A. O., Marks, E. H., Mohr, J. L., et al. (2023) · Journal of Mood and Anxiety Disorders · doi:10.1016/j.xjmad.2023.100008 · Cited by 4 · see citing works

A randomized controlled trial of Internet-delivered guided and unguided cognitive behaviour therapy for treating depression and anxiety in UK university students: study protocol for the Nurture-U Internet CBT trial

Watkins, E. R., Phillips, D., Choueiri, H., Ford, A., Cook, H., Taylor, G. T., & Kessler, R. C. (2025) · Trials · doi:10.1186/s13063-025-09023-1 · Cited by 4 · see citing works

Clinical prediction instruments available for clinicians treating major depressive disorder: A systematic review

van Dijk, D. A., Stoel, N. G., Meijer, R. J., Repko, R. J. E., van den Boogaard, T. M., Ruhé, H. G., Spijker, J., & Peeters, F. P. M. L. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.04.050 · Cited by 3 · see citing works

Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled trial

Pozuelo, J. R., Lahiri, A., Singh, R. S., Kushwah, A., Khanduri, M., Shukla, A., Khan, A., G, S., Shende, V., Parashar, Y., et al. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07030-9 · Cited by 2 · see citing works

Data-driven personalized medicine approaches to cognitive-behavioral therapy allocation in a large sample: A reanalysis of the ENRICHED study

van Bronswijk, S. C., Howard, J., & Lorenzo‐Luaces, L. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.04.015 · Cited by 3 · see citing works

Data resource profile: treatment effect – data from the mental health services of the capital region of Denmark

Gronemann, F. H., Simonsen, S., Jørgensen, M. B., & Osler, M. (2025) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2025.2480172 · Cited by 1 · see citing works

Uniting depression care through generalism: a primary care-informed response to the Lancet–World Psychiatric Association Commission’s call for action on depression

Flehr, A., Dowrick, C. F., Kaylor‐Hughes, C., & Gunn, J. M. (2025) · The Lancet Primary Care · doi:10.1016/j.lanprc.2025.100042 · Cited by 1 · see citing works

The Precision in Psychiatry (PIP) study: an internet-based methodology for accelerating research in treatment prediction and personalisationPreprint

Lee, C. T., Palacios, J. E., Richards, D., Hanlon, A. K., Lynch, K., Harty, S., Claus, N., Swords, L., O’Keane, V., Stephan, K. E., et al. (2022) · doi:10.31234/osf.io/4j6z8 · Cited by 1 · see citing works

Interindividual Differences in Treatment Effects based on Structural Equation Models with Latent Variables: An EffectLiteR TutorialPreprint

Mayer, A., Zimmermann, J., Hoyer, J., Salzer, S., Wiltink, J., Leibing, E., & Leichsenring, F. (2019) · doi:10.31234/osf.io/sthm6 · Cited by 1 · see citing works

Personalized treatment strategies for depression

van Bronswijk, S. C. (2020) · doi:10.26481/dis.20201211sb

Prediction of Overall and Differential Treatment Response for Depression using Personality Facets: Evaluating Multivariable Prediction Models using Multi-Study Data

Carnovale, M. (2020) · TSpace (University of Toronto)

Digitale Phänotypisierung und künstliche Intelligenz

Harrer, M., Terhorst, Y., Baumeister, H., & Ebert, D. D. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_27

The development of a co-created decision aid for patients with depression: Combining data-driven prediction with patients’ and clinicians’ needs and perspectives (Preprint)Preprint

Kan, K., Jörg, F., Wardenaar, K. J., Blaauw, F. J., Brilman, M. F., Visser, E., Raven, D., Meijnckens, D., Buskens, E., Cath, D. C., et al. (2024) · doi:10.2196/preprints.67170

Development of a Cocreated Decision Aid for Patients With Depression—Combining Data-Driven Prediction With Patients’ and Clinicians’ Needs and Perspectives: Mixed Methods Study

Kan, K., Jörg, F., Wardenaar, K. J., Blaauw, F. J., Brilman, M. F., Visser, E., Raven, D., Meijnckens, D., Buskens, E., Cath, D. C., et al. (2025) · Journal of Participatory Medicine · doi:10.2196/67170

Life Stressors and Depressive Symptoms: The Moderating Roles of Alcohol Consumption and Age

Moon, J., Jeon, S. W., An, Y., & Cho, S. (2025) · Brain Sciences · doi:10.3390/brainsci15101126

Additional file 1 of The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation

Lee, C. T., Palacios, J. E., Richards, D., Hanlon, A. K., Lynch, K., Harty, S., Claus, N., Swords, L., O’Keane, V., Stephan, K. E., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22612702

Additional file 2 of The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation

Lee, C. T., Palacios, J. E., Richards, D., Hanlon, A. K., Lynch, K., Harty, S., Claus, N., Swords, L., O’Keane, V., Stephan, K. E., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22612705

Additional file 1 of A randomized controlled trial on using predictive algorithm to adapt level of psychological care for community college students: STAND triaging and adapting to level of care study protocol

Wen, A., Wolitzky-Taylor, K. B., Gibbons, R. D., & Craske, M. (2023) · Figshare · doi:10.6084/m9.figshare.23908780

Additional file 2 of Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing schema therapy and dialectical behavior therapy

Wibbelink, C. J. M., Arntz, A. R., Grasman, R. P. P. P., Sinnaeve, R., Boog, M., Bremer, O. M. C., Dek, E. C. P., Alkan, S. G., James, C., Koppeschaar, A. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19129058

Additional file 3 of Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing schema therapy and dialectical behavior therapy

Wibbelink, C. J. M., Arntz, A. R., Grasman, R. P. P. P., Sinnaeve, R., Boog, M., Bremer, O. M. C., Dek, E. C. P., Alkan, S. G., James, C., Koppeschaar, A. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19129061

Additional file 4 of Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing schema therapy and dialectical behavior therapy

Wibbelink, C. J. M., Arntz, A. R., Grasman, R. P. P. P., Sinnaeve, R., Boog, M., Bremer, O. M. C., Dek, E. C. P., Alkan, S. G., James, C., Koppeschaar, A. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19129064

Additional file 1 of Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing schema therapy and dialectical behavior therapy

Wibbelink, C. J. M., Arntz, A. R., Grasman, R. P. P. P., Sinnaeve, R., Boog, M., Bremer, O. M. C., Dek, E. C. P., Alkan, S. G., James, C., Koppeschaar, A. M., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19129055

Executive Functioning as a Predictor of Digital Cognitive Behavioral Therapy Outcomes for Body Dysmorphic Disorder: A Machine Learning Approach

Sung, J., Zainal, N. H., Greenberg, J. L., Curtiss, J. E., Jacoby, R. J., Weingarden, H. M., & Wilhelm, S. (2026) · Cognitive Therapy and Research · doi:10.1007/s10608-025-10706-x

Development of a baseline battery to optimize depression treatment assignment in primary care: Balancing breadth and brevity

Pozuelo, J. R., Kessler, R. C., Patel, V., Lahiri, A., Parashar, Y., Herzallah, M. M., Khanduri, M., O’Neill, K., Martinez, A., Bhan, A., et al. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121674

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

Kessler, R. C., van Loo, H. M., Wardenaar, K. J., Bossarte, R. M., Brenner, L. A., Ebert, D. D., de Jonge, P., Nierenberg, A. A., Rosellini, A. J., Sampson, N. A., et al. (2016) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796016000020 · Cited by 193 · see citing works

Prediction of individual patient outcomes to psychotherapy vs medication for major depression

LoParo, D., Dunlop, B. W., Nemeroff, C. B., Mayberg, H. S., & Craighead, W. E. (2025) · npj Mental Health Research · doi:10.1038/s44184-025-00119-9 · Cited by 12 · see citing works

Predicting treatment outcome in depression: an introduction into current concepts and challenges

Rost, N., Binder, E. B., & Brückl, T. M. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01418-4 · Cited by 58 · see citing works

The clinical characterization of the adult patient with depression aimed at personalization of management

Maj, M., Stein, D. J., Parker, G., Zimmerman, M., Fava, G. A., De Hert, M., Demyttenaere, K., McIntyre, R. S., Widiger, T., & Wittchen, H. (2020) · World Psychiatry · doi:10.1002/wps.20771 · Cited by 435 · see citing works

Clinical prediction instruments available for clinicians treating major depressive disorder: A systematic review

van Dijk, D. A., Stoel, N. G., Meijer, R. J., Repko, R. J. E., van den Boogaard, T. M., Ruhé, H. G., Spijker, J., & Peeters, F. P. M. L. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.04.050 · Cited by 3 · see citing works