A systematic review and meta-analysis of prospective transition from major depression to bipolar disorder.
Saved in:
| Title: | A systematic review and meta-analysis of prospective transition from major depression to bipolar disorder. |
|---|---|
| Authors: | Ratheesh, A., Davey, C., Hetrick, S., Alvarez‐Jimenez, M., Voutier, C., Bechdolf, A., McGorry, P. D., Scott, J., Berk, M., Cotton, S. M. |
| Source: | Acta Psychiatrica Scandinavica. Apr2017, Vol. 135 Issue 4, p273-284. 12p. 1 Diagram, 3 Charts, 1 Graph. |
| Subjects: | Systematic reviews, Meta-analysis, Therapeutics, Mental depression, Bipolar disorder, Affective disorders, Mental health services |
| Abstract: | Objective Some people with major depressive disorder ( MDD) may be at a pre-onset stage for bipolar disorder ( BD), where early identification or prevention efforts may be feasible. We aimed to identify rates and characteristics predictive of transition to BD in prospective follow-up studies of people with MDD. Methods Using a systematic search strategy, we identified studies with a diagnostic ascertainment of MDD and BD of an adequate standard, and where the minimum length of follow-up was 6 months. We examined the incidence and point prevalence of BD and the pooled odds ratios ( OR) for baseline predictors. Results From 5554 unique publications, 56 were included. Nearly a quarter of adults (22.5%) and adolescents with MDD followed up for a mean length of 12-18 years developed BD, with the greatest risk of transition being in the first 5 years. The meta-analysis identified that transition from MDD to BD was predicted by family history of BD (OR = 2.89, 95% CI: 2.01-4.14, N = 7), earlier age of onset of depression ( g = −0.33, SE = 0.05, N = 6) and presence of psychotic symptoms (OR = 4.76, 95% CI: 1.79-12.66, N = 5). Conclusions Participants with the identified risk factors merit closer observation and may benefit from prevention efforts, especially if outcomes broader than BD are considered. [ABSTRACT FROM AUTHOR] |
| Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Objective Some people with major depressive disorder ( MDD) may be at a pre-onset stage for bipolar disorder ( BD), where early identification or prevention efforts may be feasible. We aimed to identify rates and characteristics predictive of transition to BD in prospective follow-up studies of people with MDD. Methods Using a systematic search strategy, we identified studies with a diagnostic ascertainment of MDD and BD of an adequate standard, and where the minimum length of follow-up was 6 months. We examined the incidence and point prevalence of BD and the pooled odds ratios ( OR) for baseline predictors. Results From 5554 unique publications, 56 were included. Nearly a quarter of adults (22.5%) and adolescents with MDD followed up for a mean length of 12-18 years developed BD, with the greatest risk of transition being in the first 5 years. The meta-analysis identified that transition from MDD to BD was predicted by family history of BD (OR = 2.89, 95% CI: 2.01-4.14, N = 7), earlier age of onset of depression ( g = −0.33, SE = 0.05, N = 6) and presence of psychotic symptoms (OR = 4.76, 95% CI: 1.79-12.66, N = 5). Conclusions Participants with the identified risk factors merit closer observation and may benefit from prevention efforts, especially if outcomes broader than BD are considered. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 0001690X |
| DOI: | 10.1111/acps.12686 |