Jiao's style scalp acupuncture combined with physiotherapy for autosomal recessive spastic ataxia of Charlevoix-Saguenay type: A case report
Bibliographic record
Abstract
We present a case study of an 8-year-old girl with autosomal recessive spastic ataxia of Charlevoix-Saguenay, who experienced gait imbalance since the age of two. Magnetic resonance imaging of the brain and whole spine, as well as electroencephalography, revealed no abnormalities. However, genetic testing identified a likely pathogenic variant and an uncertain significance in the heterozygous state of the Sacsin Molecular Chaperone gene. Despite treatment with epileptic and antiparkinsonian medications, along with supplements, no significant improvements were observed. Subsequently, the patient underwent eight sessions of physiotherapy before starting with 14 sessions of combined Jiao's style scalp acupuncture targeting the motor and chorea-tremor areas with physiotherapy treatment. Positive changes were noted in the Trunk Control Measurement Scale (TCMS) and Pediatric Balance Scale (PBS) after three sessions of combined treatments from 25 to 36 and 21 to 43 respectively. Further combined treatments showed consistent improvements where the TCMS reached a peak of 57 out of 58 and PBS showed a peak of 54 out of 58 at the 6th month of combined treatment. This suggests that the combination of scalp acupuncture with physiotherapy treatment may provide improvement in the balance and gait of patients with ARSACS. More similar cases should be documented to better understand the potential benefits and synergies of both treatments of ARSACS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".