Observations on Combined Use of Acupuncture and Medicine in Treating Parkinson Disease with Mild Cognitive Impairment
Bibliographic record
Abstract
Objective To investigate the clinical efficacy of acupuncture plus Gastrodin in treating Parkinson disease with mild cognitive impairment(PD-MCI).Method Forty patients meeting the diagnostic criteria of PD-MCI were randomly allocated to medication and acupuncture plus medicine groups.The medication group was treated with Gastrodin for eight weeks and the acupuncture plus medicine group,with Gastrodin plus acupuncture.An evaluation was made using the Unified Parkinson’s Disease Rating Scale(UPDRSⅢ) and the Montreal Cognitive Assessment(MoCA) in the two groups before and after treatment.The therapeutic effects were evaluated.Result The UPDRSⅢ total score and the MoCA score improved significantly in the two groups after treatment(P0.01).There were statistically significant differences in the MoCA and UPDRSⅢ scores between the two groups(P0.01,P0.05).Conclusion Combined use of acupuncture and medicine is more effective than medication alone in treating PD-MCI.It can also decrease the UPDRSⅢ score significantly and has a certain relieving effect on the symptoms of Parkinson’s disease.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".