Hyperbaric Oxygen Therapy Improves Motor Symptoms, Sleep, and Cognitive Dysfunctions in Parkinson’s Disease
Bibliographic record
Abstract
INTRODUCTION: The aim of the study was to systematically analyze the therapeutic effectiveness of hyperbaric oxygen therapy compared with conventional drug therapy in patients with Parkinson's disease. METHODS: PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang Database searched to the end of March 2023. Two authors independently screened and abstracted data from each trial. The primary outcome measures included the efficacy rate and the Unified Parkinson's Disease Rating Scale III (UPDRS III). Secondary outcome measures included the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Hamilton Depression Scale (HAMD), Minimum Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Hoehn-Yahr staging. RESULTS: Thirteen studies with a total of 958 participants were included in the meta-analysis. After intervention, the experimental group exhibited a higher treatment efficacy rate compared to the control group (odds ratio = 3.18, 95% confidence interval [95% CI; 1.60, 6.33], p < 0.01), a lower UPDRS III score (mean difference [MD] = -2.96, 95% CI [-4.31, -1.61], p < 0.01), and lower Hoehn-Yahr staging (MD = -0.14, 95% CI [-0.26, -0.02], p < 0.01). The experimental group also outperformed the control group in non-motor symptoms, with higher scores in MoCA, PSQI, and ESS (standardized MD = 0.65, 95% CI [0.45, 0.85], p < 0.01), (MD = -2.52, 95% CI [-2.85, -2.18], p < 0.01), and (MD = -3.30, 95% CI [-3.77, -2.83], p < 0.01), respectively. CONCLUSION: Hyperbaric oxygen therapy improves motor function, relieves the severity of the disease, ameliorates cognitive function, and improves sleep quality while alleviating excessive daytime sleepiness in patients with Parkinson's disease. The therapeutic mechanism of hyperbaric oxygen therapy may be related to increased cerebral tissue oxygen content, which contributes to anti-hypoxic, anti-inflammatory, anti-apoptotic, and antioxidant stress.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".