Effect of eye-tracking-based attention training for patients with poststroke cognitive impairment: a study protocol for a prospective, single-blinded, single-centre, randomised controlled trial in China
Bibliographic record
Abstract
INTRODUCTION: Poststroke cognitive impairment (PSCI) is a common dysfunction that places a great burden on patients who had stroke and their families. Approximately 46%-92% of stroke survivors experience some degree of attention problems after a stroke. Improving attention is considered the core of successfully improving cognitive function and reintegrating patients into daily life. Eye tracking technology provides real-time feedback and accurate monitoring of cognitive processing, and using this technology to introduce attention training may improve patient treatment outcomes. The main purpose of this study was to investigate whether eye-tracking-based attention training has a positive effect on patients with PSCI. METHODS AND ANALYSIS: This study is a prospective randomised controlled trial. We will recruit 48 patients with PSCI referred to the Department of Rehabilitation Medicine at West China Hospital, Sichuan University, in Southwest China. The participants will be randomly distributed into two groups. Both groups will undergo conventional rehabilitation for 3 weeks, and the intervention group will receive 3 weeks of eye-tracking-based attention training (20-30 min/day). The primary outcome will be the patients' cognitive function, measured by the Montreal Cognitive Assessment. The secondary outcomes will be the patients' attention, independence of daily activities and event-related potential. These outcomes will be assessed at baseline, at the end of treatment (3 weeks) and at follow-up (1 month and 3 months after treatment). We will report the statistics and estimations using 95% CI. ETHICS AND DISSEMINATION: This trial received ethics approval from the Ethics Committee on Biomedical Research, West China Hospital of Sichuan University (2023 review No. 258). The results from this study will be disseminated via academic publication. TRIAL REGISTRATION NUMBER: ChiCTR2300068727.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.020 | 0.013 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.005 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".