Treating vascular cognitive impairment using hyperbaric oxygen combined with repeated transcranial magnetic stimulation
Bibliographic record
Abstract
Objective To observe the clinical effect of combining hyperbaric oxygen (HBO) with repeated transcranial magnetic stimulation (rTMS) in the treatment of vascular cognitive impairment (VCI). Methods A total of 56 hospitalized VCI patients were randomly divided into an HBO+ rTMS group (n=25) and an rTMS group (n=27). The patients of both groups were given routine medication, rehabilitation and rTMS treatment, while the HBO+ rTMS group was additionally provided with HBO. The mini mental state examination (MMSE), the Montreal cognitive assessment (MoCA), the Lo Winston occupational therapy cognitive assessment (LOTCA) and the modified Barthel index (MBI) were used to evaluate the cognitive function of both groups before and after 4 weeks of treatment. Results Before the treatment there were no significant differences between the two groups in any of the average measurements. After the treatment, significant improvement was observed in the average MMSE and MBI scores in both groups, with significantly greater improvement in the HBO+ rTMS group. After the treatment, all the average sub-scores except that of naming and the total MMSE score of the rTMS group had improved significantly, together with all the average sub-scores and total scores of the HBO+ rTMS group. After the treatment the average visual space and execution, abstraction, delayed recall, orientation and the total MoCA score of the HBO+ rTMS group were all significantly higher than those of the control group. Conclusion HBO combined with rTMS can improve cognitive function and the life quality of VCI patients. Key words: Hyperbaric oxygen; Repetitive transcranial magnetic stimulation; Cognitive impairment
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".