ArticleJournal of affective disorders2015
Multiple risk factors predict recurrence of major depressive disorder in women.
Article in Journal of affective disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic models for predicting relapse or recurrence of major depressive disorder in adults.The Cochrane database of systematic reviews · 2021Pooled it
- Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis.Molecular psychiatry · 2020Pooled it
- The number of episodes of major psychiatric and substance use disorders as an index of genetic risk and genetic heterogeneity.Molecular psychiatry · 2025Article
- Reconsidering remission in recurrent late-life depression: clinical presentation and phenotypic predictors of relapse following successful antidepressant treatment.Psychological medicine · 2024Article
- Investigating heart rate variability measures during pregnancy as predictors of postpartum depression and anxiety: an exploratory study.Translational psychiatry · 2024Article
- Identifying relapse predictors in individual participant data with decision trees.BMC psychiatry · 2023Article
- Review
- Clinical utility of family history of depression for prognosis of adolescent depression severity and duration assessed with predictive modeling.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- A Patient Stratification Approach to Identifying the Likelihood of Continued Chronic Depression and Relapse Following Treatment for Depression.Journal of personalized medicine · 2021Article
- The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study.Diagnostic and prognostic research · 2021Article
- Latent Class Analysis in Depression, Including Clinical and Functional Variables: Evidence of a Complex Depressive Subtype in Primary Care in Chile.Depression research and treatment · 2021Article
- A methylation study of long-term depression risk.Molecular psychiatry · 2020Article
- Consequences of Recurrence of Major Depressive Disorder: Is Stopping Effective Antidepressant Medications Ever Safe?Focus (American Psychiatric Publishing) · 2020Article
- Factors Associated With Depressive Episode Recurrences in Primary Care: A Retrospective, Descriptive Study.Frontiers in psychology · 2020Article
- A prognostic index for long-term outcome after successful acute phase cognitive therapy and interpersonal psychotherapy for major depressive disorder.Depression and anxiety · 2019Article
- Redefining Therapeutic Outcomes of Depression Treatment.Journal for person-oriented research · 2019Article
- Predictors of recurrence in remitted late-life depression.Depression and anxiety · 2018Article
- Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk.Journal of affective disorders · 2018Article
- Financial difficulties but not other types of recent negative life events show strong interactions with 5-HTTLPR genotype in the development of depressive symptoms.Translational psychiatry · 2016Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundIt is difficult to predict recurrence of depressive episodes in patients with major depression (MD): evidence for many risk factors is inconsistent and general prediction algorithms are lacking. The aim of this study was to develop a prediction model for recurrence of depressive episodes in women using improved methodology.
methodsWe used prospective data from a general population sample of female twins with a last-year MD episode (n=194). A rich set of baseline predictors was analyzed with Cox proportional hazards regression subject to elastic net regularization to find a model predicting recurrence of depressive episodes. Prediction accuracy of the model was assessed in an independent test sample (n=133), which was limited by the unavailability of a number of key predictors.
resultsA wide variety of risk factors predicted recurrence of depressive episodes in women: depressive and anxiety symptoms during the index episode, the level of symptoms at the moment of interview, psychiatric and family history, early and recent adverse life events, being unmarried, and problems with friends and finances. Kaplan Meier estimated survival curves showed that the model differentiated between patients at higher and lower risk for recurrence; estimated areas under the curve were in the range of 0.61-0.79. LIMITATIONS: Despite our rich set of predictors, certain potentially relevant variables were not available, such as biological measures, chronic somatic diseases, and treatment status.
conclusionsRecurrence of episodes of MD in women is highly multifactorial. Future studies should take this into account for the development of clinically useful prediction algorithms.
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