The neuroprotective effect of electro-acupuncture on cognitive recovery for patients with mild traumatic brain injury: A randomized controlled clinical trial
Bibliographic record
Abstract
BACKGROUND: Traumatic brain injury (TBI) is a major health and socioeconomic problem that affects all societies. Consciousness disorder is a common complication after TBI while there is still no effective treatment currently. The aim of this study was to investigate the protective effect of electro-acupuncture (EA) on cognitive recovery for patients with mild TBI. METHODS: A total of 83 patients with initial Glasgow coma scale score higher than 12 points were assigned into this study. Then patients were randomly divided into 2 groups: EA group and control group (group C). Patients in group EA received EA treatment at Neiguan and Shuigou for 2 weeks. At 0 minute before EA treatment (T1), 0 minute after EA treatment (T2), and 8 weeks after EA treatment (T3), level of neuron-specific enolase (NSE), glial fibrillary acidic protein (GFAP), hypoxia inducible factor-1α (HIF-1α), and malondialdehyde were tested by enzyme-linked immunosorbent assay. The score of Montreal Cognitive Function Assessment (MoCA) and mini-mental state examination (MMSE) as well as cerebral oxygen saturation (rSO2) were detected at the same time. RESULTS: Compared with the baseline at T1, the level of NSE, GFAP, HIF-1α, MDA, and rSO2 decreased, and the score of MoCA and MMSE increased in the 2 groups were significantly increased at T2-3 (P < .05). Compared with group C, the level of NSE, GFAP, HIF-1α, MDA, and rSO2 decreased, and the score of MoCA and MMSE increased were significantly increased at T2-3 in group EA; the difference were statistically significant (P < .05). CONCLUSIONS: EA treatment could improve the cognitive recovery for patients with mild TBI and the potential mechanism may be related to improving cerebral hypoxia and alleviating brain injury.
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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 | 0.006 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".