Cited by 55Bipolar Disorder and TreatmentSchizophrenia research and treatmentTreatment of Major Depression

The prevalence and characteristics of MCCB cognitive impairment in unmedicated patients with bipolar II depression and major depressive disorder

Lai, Shunkai, Zhong, Shuming, Wang, Ying, Zhang, Yiliang, Xue, Ying, Zhao, Hui, Ran, Hanglin, Yan, Shuya +11 more·2022·Journal of Affective Disorders

Abstract

Background Cognitive impairment has been acknowledged as a core clinical manifestation of bipolar disorder (BD) as well as major depressive disorder (MDD). Determining the prevalence and characteristics of cognitive impairment is important for clinical interventions. This study investigated the prevalence and characteristics of cognitive impairment based on the Measurement and Treatment Research to Improve Cognition Schizophrenia Consensus Cognitive Battery (MCCB) in both BD and MDD. Method One hundred and forty-nine BD II depression, 147 MDD, and 124 demographically matched healthy controls (HC) underwent MCCB cognitive assessment. The prevalence of MCCB cognitive impairment and group difference comparisons were performed. Additionally, association analysis was performed to investigate the relationship between cognitive performance and clinical variables. Results Compared to the HC group, both BD II depression and MDD groups had a significantly reduced performance for all MCCB cognitive domains (all p < 0.05). The numerical scores for visual learning were lower in the BD II depression group compared to the MDD group. 32.89% of the BD II depression patients had clinically significant impairment (>1.5 SD below the normal mean) in two or more MCCB domains compared to 23.13% for MDD patients. Conclusions A high percent of patients in the BD II depression and MDD group exhibited MCCB cognitive impairments with clinical significance. Cognitive impairments were more common in BD II depression patients compared to MDD patients, particularly for visual learning. These findings suggest that clinicians should be aware of the severe cognitive impairment in mood disorders and establish effective cognitive screening and intervention strategies.

Integrity signals

Registry

Crossref · 10.1016/j.jad.2022.04.153

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lai, S., Zhong, S., Wang, Y., Zhang, Y., Xue, Y., Zhao, H., Ran, H., Yan, S., Luo, Y., He, J., Zhu, Y., Lv, S., Song, Z., Miao, H., Hu, Y., Huang, X., Lu, X., Zhou, J., & Jia, Y.
Affiliations
  • First Affiliated Hospital of Jinan University (CN)
  • Jinan University (CN)
  • Second Xiangya Hospital of Central South University (CN)
Corresponding author
  • Zhou, Jiansong
  • Jia, Yanbin
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2022-08
Volume
310
Pages
369-376
ISSN
0165-0327 (ISSN-L)
OpenAlex
W4225113045
Cited by
55
References
68
Citations by year
2026: 10 · 2025: 17 · 2024: 12 · 2023: 12 · 2022: 4
FWCI
7.33
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Keywords
cognitive impairment, bipolar II depression, major depressive disorder, unmedicated patients, prevalence, visual learning, mood disorders, cognitive screening
MeSH terms
Bipolar Disorder, Depression, Major Depressive Disorder, Depressive Disorder, Major, Humans, Neuropsychological Tests, Prevalence, Cognitive Dysfunction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review