Percutaneous Mastoid Electrical Stimulator improves poststroke depression and cognitive function in patients with ischemic stroke:A Prospective, Randomized, Double-blind, and Sham-controlled Study
Bibliographic record
Abstract
Abstract Backgrond: Poststroke depression could lead to functional dependence, cognitive impairment and reduced quality of life. The aim of this study was to evaluate the effects of percutaneous mastoid electrical stimulator (PMES) plus antidepressant on poststroke depression and cognitive function. Methods: This study was a prospective, randomized, double-blind, and sham-controlled study. 258 clinically depressed ischemic stroke patients within 14 d of index stroke were randomly assigned to PMES plus antidepressant (PMES group, N=125) and sham plus antidepressant (sham group, N=133). All patients underwent Montreal Cognitive Assessment (MoCA) and Hamilton Rating Scale for Depression (HRSD) test at 2 weeks (baseline), and 6 months after the stroke. Primary outcomes were the percentage of treatment response (≥50% reduction in HRSD score) and depression remission (HRSD score≤9) at 6 months. Secondary outcome was the percentage of MoCA score <26. Results: The percentage of treatment response and depression remission in PMES group were significantly higher than that in the sham group (57.60% vs 41.35%, P=0.009), (44.00% vs 29.32%, P=0.014), respectively. The mean value of HRSD score change(M6-baseline) was significantly greater in the PMES group compared to sham group at 6 months (-11.93 ±5.32 vs -10.48 ± 6.10, P = 0.036). The percentage MoCA score <26 in PEMS group was lower than that in sham group(12.0% vs 24.06%, P=0.012), the mean value of MoCA score change (M6-baseline) was higher in PMES group compared to sham group (3.50±2.55 vs 2.72±2.52; P=0.005). Conclusion: These findings demonstrate that PMES adjunctive to antidepressant therapy is effective in reducing depression, achieving remission in the short term, and improving cognition. Trial registration: This trial was retrospectively registered (registration number: ChiCTR1800016463) on 03 June 2018
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".