Efficacy of Proprioceptive Neuromuscular Facilitation (PNF) Technique in Patients with Cervical-Originated Arm Pain on Pain and Functional Disability: A Single-Arm Pilot Trial
Bibliographic record
Abstract
Background: Cervical-originated arm pain (COAP) occurs when a cervical nerve root is affected, causing pain and muscle weakness that can lead to disability. The PNF technique concentrates on activating both the agonist and antagonist muscle groups to enhance neuromuscular control and improve functional movement patterns. The current study aimed to determine the effectiveness of PNF for cervical-originated arm pain. Method: 10 patients with COAP received treatment using PNF and conventional physiotherapy for 2 weeks (6 sessions per week). Pre- and post-test data were collected for arm pain using the NPRS 101, neck pain and disability using the NPAD, and upper extremity disability using the Quick DASH Questionnaire, and were analysed. Results: Results showed statistically significant improvement (p<0.05) in all outcomes. Conclusions: This study concluded that the use of PNF to treat COAP is effective in clinical practice.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".