The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
The potential of predictive analytics to provide clinical decision support in depression treatment planning
Abstract
PURPOSE OF REVIEW: To review progress developing clinical decision support tools for personalized treatment of major depressive disorder (MDD). RECENT FINDINGS: Over the years, a variety of individual indicators ranging from biomarkers to clinical observations and self-report scales have been used to predict various aspects of differential MDD treatment response. Most of this work focused on predicting remission either with antidepressant medications versus psychotherapy, some antidepressant medications versus others, some psychotherapies versus others, and combination therapies versus monotherapies. However, to date, none of the individual predictors in these studies has been strong enough to guide optimal treatment selection for most patients. Interest consequently turned to decision support tools made up of multiple predictors, but the development of such tools has been hampered by small study sample sizes. Design recommendations are made here for future studies to address this problem. SUMMARY: Recommendations include using large prospective observational studies followed by pragmatic trials rather than smaller, expensive controlled treatment trials for preliminary development of decision support tools; basing these tools on comprehensive batteries of inexpensive self-report and clinical predictors (e.g., self-administered performance-based neurocognitive tests) versus expensive biomarkers; and reserving biomarker assessments for targeted studies of patients not well classified by inexpensive predictor batteries.
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“The use of waiting list control groups as often the case in psychotherapy research may lead to an overestimation of the effects of treatment. 592,593”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [593]
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Cites
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“Approximately 30% of MDD patients remit after a full first course of evidencebased treatment and 70% remit after several courses of treatment [4].”
BackgroundCross-national epidemiology of DSM-IV major depressive episode
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Self-citationResting-state connectivity biomarkers define neurophysiological subtypes of depression
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Undertreatment of people with major depressive disorder in 21 countries
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“A number of classes of ADMs exist, but none has consistently been found superior to all others, resulting in ADM treatment recommendations being differential effects [10–12].”
ResultDistributed Disturbances in Brain Structure and Function in Schizophrenia
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Sorted by citations
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
Self-citationTime 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
Self-citationTreatment 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
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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 372
Metadata
- Authors
- Kessler, R. C.
- Affiliations
- Harvard University (US)
- Corresponding author
- Kessler, Ronald C.
- ORCID
- Kessler, Ronald C.
- Venue
- Current Opinion in Psychiatry
- Published
- 2018-01
- Volume
- 31
- Issue
- 1
- Pages
- 32-39
- ISSN
- 0951-7367 (ISSN-L)
- OpenAlex
- W2765870488
- Cited by
- 103
- References
- 88
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 9 · 2023: 14 · 2022: 17 · 2021: 14 · 2020: 11 · 2019: 18 · 2018: 6
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- predictive analytics, clinical decision support, major depressive disorder, personalized treatment, treatment response prediction, antidepressants, psychotherapy, combination therapy, remission prediction, biomarkers, self-report scale, neurocognitive tests, pragmatic trials
- MeSH terms
- Antidepressive Agents, Combined Modality Therapy, Major Depressive Disorder, Humans, Prospective Studies, Psychotherapy, Decision Support Systems, Clinical
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