Efficacy and safety of Neurocognitive Adaptive Training for Depression combined with SSRIs for treating cognitive impairment among patients with late-life depression: a 12-week, randomized controlled study
Bibliographic record
Abstract
BACKGROUND: This randomized, open-label study examined the therapeutic effects of Neurocognitive Adaptive Training for Depression (NCAT-D) combined with selective serotonin reuptake inhibitors (SSRIs) on cognitive impairment among patients with late-life depression (LLD). METHOD: Study data were collected from May 5, 2021, to April 21, 2023. Outpatients who met the diagnostic criteria for major depressive disorder according to the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) (i.e., a total score on the 17-item Hamilton Depression Rating Scale (HAMD-17) ≥ 18 and a total score on the Montreal Cognitive Assessment scale (MOCA) < 26) were recruited at Beijing Anding Hospital. These participants were randomly assigned to receive up to 12 weeks of NCAT-D and SSRIs treatment (n = 57) or SSRIs with a control treatment (n = 61). Primary outcomes included changes in Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) scores from baseline to week 12 between the two groups. Assessments were conducted at baseline, after 2 weeks, 4 weeks, 8 weeks, and at 12 weeks. Mixed model repeated measures (MMRM) analysis was performed on modified intention-to-treat (mITT) and completer populations. RESULTS: The full analysis set (FAS) included 118 patients (NCAT-D and SSRIs group, n = 57; SSRIs and Control group, n = 61). During the 12-week study period, MMRM analysis revealed a significantly greater reduction in cognitive function (as indicated by ADAS-cog total scores) from baseline to post-treatment in the NCAT-D and SSRIs group compared to the SSRIs and Control groups [(F (1,115) = 13.65, least-squares mean difference [95% CI]: -2.77 [- 3.73, - 1.81], p < 0.001)]. The intervention group showed a significantly greater reduction in HAMD-17 scores compared to the control group [MMRM, estimated mean difference (SE) between groups: -3.59 [- 5.02, - 2.15], p < 0.001]. There was no significant difference in the incidence of adverse events between the two groups. CONCLUSIONS: NCAT-D combined with SSRIs was efficacious and well tolerated in LLD patients with cognitive impairment. TRIAL REGISTRATION: Registered on October 18, 2022, at ClinicalTrials.gov Identifier: (#NCT05588102).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".