ArticlePsychological medicine2015
Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features.
Article in Psychological medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distinguishing bipolar disorder from unipolar depression in general practice: A systematic review.The European journal of general practice · 2026Pooled it
- Treatment-resistant recurrent unipolar and bipolar depression: associative learning abnormalities.Brain : a journal of neurology · 2025Article
- Clinical distinctions in symptomatology and psychiatric comorbidities between misdiagnosed bipolar I and bipolar II disorder versus major depressive disorder.BMC psychiatry · 2024Article
- Psychotic symptoms in bipolar disorder and their impact on the illness: A systematic review.World journal of psychiatry · 2022Article
- Differences in network properties of the structural connectome in bipolar and unipolar depression.Psychiatry research. Neuroimaging · 2022Article
- Resting-state functional connectivity graph-properties correlate with bipolar disorder-risk in young medication-free depressed subjects: Bipolar-risk Resting State Functional Connectivity in Major Depression.Journal of affective disorders · 2022Article
- Symptoms and Characteristics of Youth Hospitalized for Depression: Subthreshold Manic Symptoms Can Help Differentiate Bipolar from Unipolar Depression.Journal of child and adolescent psychopharmacology · 2021Article
- Probing the clinical and brain structural boundaries of bipolar and major depressive disorder.Translational psychiatry · 2021Article
- Psychometric Properties of the Chinese Version of the Bipolar Depression Rating Scale for Bipolar Disorder.Neuropsychiatric disease and treatment · 2021Article
- Comparison of blood lipid profile/thyroid function markers between unipolar and bipolar depressed patients and in depressed patients with anhedonia or suicidal thoughts.Molecular medicine (Cambridge, Mass.) · 2019Article
- Physical activity is associated with left corticospinal tract microstructure in bipolar depression.NeuroImage. Clinical · 2018Article
- Characteristics of depression among offspring at high and low familial risk of bipolar disorder.Bipolar disorders · 2017Article
- Distinguishing Bipolar Depression from Unipolar Depression in Youth: Preliminary Findings.Journal of child and adolescent psychopharmacology · 2017Article
- Reconsidering Animal Models of Major Depressive Disorder in the Elderly.Frontiers in aging neuroscience · 2016Article
- Sociodemographic Characteristics of Adult Saudi Patients with Mood Disorder Subtypes.Saudi journal of medicine & medical sciencesArticle
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11 authors.
Funding
Abstract
backgroundDistinguishing bipolar disorder (BP) from major depressive disorder (MDD) has important relevance for prognosis and treatment. Prior studies have identified clinical features that differ between these two diseases but have been limited by heterogeneity and lack of replication. We sought to identify depression-related features that distinguish BP from MDD in large samples with replication.
methodUsing a large, opportunistically ascertained collection of subjects with BP and MDD we selected 34 depression-related clinical features to test across the diagnostic categories in an initial discovery dataset consisting of 1228 subjects (386 BPI, 158 BPII and 684 MDD). Features significantly associated with BP were tested in an independent sample of 1000 BPI cases and 1000 MDD cases for classifying ability in receiver operating characteristic (ROC) analysis.
resultsSeven clinical features showed significant association with BPI compared with MDD: delusions, psychomotor retardation, incapacitation, greater number of mixed symptoms, greater number of episodes, shorter episode length, and a history of experiencing a high after depression treatment. ROC analyses of a model including these seven factors showed significant evidence for discrimination between BPI and MDD in an independent dataset (area under the curve = 0.83). Only two features (number of mixed symptoms, and feeling high after an antidepressant) showed an association with BPII versus MDD.
conclusionsOur study suggests that clinical features distinguishing depression in BPI versus MDD have important classification potential for clinical practice, and should also be incorporated as 'baseline' features in the evaluation of novel diagnostic biomarkers.
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