Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis.
OBJECTIVE: An association between bipolar disorder and cognitive impairment has repeatedly been described, even for euthymic patients. Findings are inconsistent both across primary studies and previous meta-analyses. This study reanalysed 31 primary data sets as a single large sample (N = 2876) to p...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
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2013
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| _version_ | 1826280958488215552 |
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| author | Bourne, C Aydemir, Ö Balanzá-Martínez, V Bora, E Brissos, S Cavanagh, J Clark, L Cubukcuoglu, Z Dias, V Dittmann, S Ferrier, I Fleck, D Frangou, S Gallagher, P Jones, L Kieseppä, T Martínez-Aran, A Melle, I Moore, P Mur, M Pfennig, A Raust, A Senturk, V Simonsen, C Smith, D |
| author_facet | Bourne, C Aydemir, Ö Balanzá-Martínez, V Bora, E Brissos, S Cavanagh, J Clark, L Cubukcuoglu, Z Dias, V Dittmann, S Ferrier, I Fleck, D Frangou, S Gallagher, P Jones, L Kieseppä, T Martínez-Aran, A Melle, I Moore, P Mur, M Pfennig, A Raust, A Senturk, V Simonsen, C Smith, D |
| author_sort | Bourne, C |
| collection | OXFORD |
| description | OBJECTIVE: An association between bipolar disorder and cognitive impairment has repeatedly been described, even for euthymic patients. Findings are inconsistent both across primary studies and previous meta-analyses. This study reanalysed 31 primary data sets as a single large sample (N = 2876) to provide a more definitive view. METHOD: Individual patient and control data were obtained from original authors for 11 measures from four common neuropsychological tests: California or Rey Verbal Learning Task (VLT), Trail Making Test (TMT), Digit Span and/or Wisconsin Card Sorting Task. RESULTS: Impairments were found for all 11 test-measures in the bipolar group after controlling for age, IQ and gender (Ps ≤ 0.001, E.S. = 0.26-0.63). Residual mood symptoms confound this result but cannot account for the effect sizes found. Impairments also seem unrelated to drug treatment. Some test-measures were weakly correlated with illness severity measures suggesting that some impairments may track illness progression. CONCLUSION: This reanalysis supports VLT, Digit Span and TMT as robust measures of cognitive impairments in bipolar disorder patients. The heterogeneity of some test results explains previous differences in meta-analyses. Better controlling for confounds suggests deficits may be smaller than previously reported but should be tracked longitudinally across illness progression and treatment. |
| first_indexed | 2024-03-07T00:21:33Z |
| format | Journal article |
| id | oxford-uuid:7cb790cf-82ee-4707-bda5-5122a789e273 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:21:33Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oxford-uuid:7cb790cf-82ee-4707-bda5-5122a789e2732022-03-26T20:58:58ZNeuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7cb790cf-82ee-4707-bda5-5122a789e273EnglishSymplectic Elements at Oxford2013Bourne, CAydemir, ÖBalanzá-Martínez, VBora, EBrissos, SCavanagh, JClark, LCubukcuoglu, ZDias, VDittmann, SFerrier, IFleck, DFrangou, SGallagher, PJones, LKieseppä, TMartínez-Aran, AMelle, IMoore, PMur, MPfennig, ARaust, ASenturk, VSimonsen, CSmith, DOBJECTIVE: An association between bipolar disorder and cognitive impairment has repeatedly been described, even for euthymic patients. Findings are inconsistent both across primary studies and previous meta-analyses. This study reanalysed 31 primary data sets as a single large sample (N = 2876) to provide a more definitive view. METHOD: Individual patient and control data were obtained from original authors for 11 measures from four common neuropsychological tests: California or Rey Verbal Learning Task (VLT), Trail Making Test (TMT), Digit Span and/or Wisconsin Card Sorting Task. RESULTS: Impairments were found for all 11 test-measures in the bipolar group after controlling for age, IQ and gender (Ps ≤ 0.001, E.S. = 0.26-0.63). Residual mood symptoms confound this result but cannot account for the effect sizes found. Impairments also seem unrelated to drug treatment. Some test-measures were weakly correlated with illness severity measures suggesting that some impairments may track illness progression. CONCLUSION: This reanalysis supports VLT, Digit Span and TMT as robust measures of cognitive impairments in bipolar disorder patients. The heterogeneity of some test results explains previous differences in meta-analyses. Better controlling for confounds suggests deficits may be smaller than previously reported but should be tracked longitudinally across illness progression and treatment. |
| spellingShingle | Bourne, C Aydemir, Ö Balanzá-Martínez, V Bora, E Brissos, S Cavanagh, J Clark, L Cubukcuoglu, Z Dias, V Dittmann, S Ferrier, I Fleck, D Frangou, S Gallagher, P Jones, L Kieseppä, T Martínez-Aran, A Melle, I Moore, P Mur, M Pfennig, A Raust, A Senturk, V Simonsen, C Smith, D Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. |
| title | Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. |
| title_full | Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. |
| title_fullStr | Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. |
| title_full_unstemmed | Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. |
| title_short | Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. |
| title_sort | neuropsychological testing of cognitive impairment in euthymic bipolar disorder an individual patient data meta analysis |
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