ArticleDepression and anxiety2018
Finding factors that predict treatment-resistant depression: Results of a cohort study.
Article in Depression and anxiety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.
- Early or recent trauma in treatment-resistant depression: a systematic review.CNS spectrums · 2025Pooled it
- Functional changes in sleep-related arousal after ketamine administration in individuals with treatment-resistant depression.Translational psychiatry · 2024Trial
- Trial
- Real‑World Clinical Characterization of Major Depressive Disorder and Treatment‑Resistant Depression Supported by Natural Language Processing: Multicenter Observational Study From the MOOD Project.Interactive journal of medical research · 2026Article
- The Role of Adverse Childhood Experiences in the Development of Major Depressive Disorder and Treatment-Resistant Depression.Child psychiatry and human development · 2026Review
- Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Examining the needs, outcomes and current treatment pathways of 2461 people with treatment-resistant depression: mixed-methods study.The British journal of psychiatry : the journal of mental science · 2026Article
- Risk factors for treatment resistance among women with postpartum depression in a nationwide study.Nature. Mental health · 2026Article
- Treatment resistant depression: Socio-demographic characteristics, comorbidity and treatment patterns from the All of Us Research Program.Journal of affective disorders · 2025Article
- Genetics and Neurobiology of Treatment-Resistant Depression-A Review.International journal of molecular sciences · 2025Review
- Prediction of treatment-resistant depression using the 23andMe survey data.Scientific reports · 2025Article
- Psilocybin-assisted therapy for treatment-resistant depression in the US: a model-based cost-effectiveness analysis.Translational psychiatry · 2025Article
- Effects of adjunctive brexpiprazole in patients with major depressive disorder and sleep disturbance: aFrontiers in psychiatry · 2025Article
- Sleep alterations in treatment-resistant depression patients undergoing ketamine treatment.Pharmacological reports : PR · 2024Observational
- Facts and myths about use of esketamine for treatment-resistant depression: a narrative clinical review.Frontiers in psychiatry · 2024Review
- Development of a multivariate prediction model for antidepressant resistant depression using reward-related predictors.Frontiers in psychiatry · 2024Article
- Excessive Daytime Sleepiness and Insomnia Symptoms in Adolescents With Major Depressive Disorder: Prevalence, Clinical Correlates, and the Relationship With Psychiatric Medications Use.Psychiatry investigation · 2023Article
- The Patient's Perspective on the Effects of Intranasal Esketamine in Treatment-Resistant Depression.Brain sciences · 2023Article
- Characteristics of persistent depression in the long-term: Randomized controlled trial and two-year observational study.Heliyon · 2023Article
- Predictive modelling of deliberate self-harm and suicide attempts in young people accessing primary care: a machine learning analysis of a longitudinal study.Social psychiatry and psychiatric epidemiology · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTreatment for depressive disorders often requires subsequent interventions. Patients who do not respond to antidepressants have treatment-resistant depression (TRD). Predicting who will develop TRD may help healthcare providers make more effective treatment decisions. We sought to identify factors that predict TRD in a real-world setting using claims databases.
methodsA retrospective cohort study was conducted in a US claims database of adult subjects with newly diagnosed and treated depression with no mania, dementia, and psychosis. The index date was the date of antidepressant dispensing. The outcome was TRD, defined as having at least three distinct antidepressants or one antidepressant and one antipsychotic within 1 year after the index date. Predictors were age, gender, medical conditions, medications, and procedures 1 year before the index date.
resultsOf 230,801 included patients, 10.4% developed TRD within 1 year. TRD patients at baseline were younger; 10.87% were between 18 and 19 years old versus 7.64% in the no-TRD group, risk ratio (RR) = 1.42 (95% confidence interval [CI] 1.37-1.48). TRD patients were more likely to have an anxiety disorder at baseline than non-TRD patients, RR = 1.38 (95% CI 1.35-1.14). At 3.68, fatigue had the highest RR (95% CI 3.18-4.25). TRD patients had substance use disorders, psychiatric conditions, insomnia, and pain more often at baseline than non-TRD patients.
conclusionTen percent of subjects newly diagnosed and treated for depression developed TRD within a year. They were younger and suffered more frequently from fatigue, substance use disorders, anxiety, psychiatric conditions, insomnia, and pain than non-TRD patients.
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