Measuring the Efficacy of Percutaneous Cryoneurolysis in Participants With Refractory or Plateaued Shoulder, Elbow, Wrist, or Finger Spasticity
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to investigate novel, minimally invasive cryoneurolysis for refractory or plateaued upper limb spasticity. DESIGN: This was a repeated-measures, single-center, observational pilot study (NCT04670783). Percutaneous cryoneurolysis was applied to the upper limb nerves and intramuscular branches of 59 adults with upper limb spasticity refractory to or plateaued on botulinum therapies. Maximal passive range of motion (V1), active ROM, and modified Ashworth scale score were measured during shoulder flexion, abduction, and external rotation and elbow and wrist extension at baseline and follow-up to 1 yr. Additional outcomes included pain, participant satisfaction, and upper limb disability. RESULTS: Overall, 59 participants received cryoneurolysis in ≥1 region targeting nerves that innervate muscles supporting shoulder ( n = 47), elbow ( n = 33), wrist ( n = 18), and fingers/thumb ( n = 29) movement. At 12 mos, there was significant change from baseline in V1, active ROM, and modified Ashworth scale score for shoulder flexion and abduction and in V1 and modified Ashworth scale score for external rotation. Similar results were observed for elbow extension V1, active ROM, and modified Ashworth scale score and wrist extension modified Ashworth scale score. Average daily pain, participant satisfaction, and upper limb disability improved. CONCLUSIONS: Participants with plateaued or refractory spasticity had improvements in upper limb regions; future evaluations of cryoneurolysis treatment for spasticity are warranted.
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 | 0.002 | 0.003 |
| 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".