The Impact of Fu’s Subcutaneous Needling on Lower Limb Muscle Stiffness in Knee Osteoarthritis Patients: Study Protocol for a Pilot Randomized Controlled Trial
Notice bibliographique
Résumé
Hu Li,1,2,* Cong Cong Yang,3,* Tianyu Bai,1 Jian Sun,4,5 Zhonghua Fu,4,6 Jia Mi,3 Li-Wei Chou7â 9 1Department of Acupuncture-Moxibustion and Tuina, Shandong Provincial Third Hospital, Shandong University, Jinan, 250031, Peopleâs Republic of China; 2School of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Peopleâs Republic of China; 3Department of Ultrasound, Shandong Provincial Third Hospital, Shandong University, Jinan, 250031, Peopleâs Republic of China; 4Clinical Medical College of Acupuncture & Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Peopleâs Republic of China; 5Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510006, Peopleâs Republic of China; 6Institute of Fuâs Subcutaneous Needling, Beijing University of Chinese Medicine, Beijing, 100029, Peopleâs Republic of China; 7Department of Physical Medicine and Rehabilitation, China Medical University Hospital, China Medical University, Taichung, 404332, Taiwan; 8Department of Physical Therapy and Graduate Institute of Rehabilitation Science, China Medical University, Taichung, 406040, Taiwan; 9Department of Physical Medicine and Rehabilitation, Asia University Hospital, Asia University, Taichung, 413505, Taiwan*These authors contributed equally to this workCorrespondence: Li-Wei Chou, Department of Physical Medicine and Rehabilitation, China Medical University Hospital, China Medical University, No. 2 Yuh-Der Road, Taichung, 404332, Taiwan, Email chouliwe@gmail.comBackground: Knee osteoarthritis (OA) is a leading cause of disability worldwide, with clinicians often observing increased muscle stiffness associated with joint pain and dysfunction. This study examines the impact of Fuâs Subcutaneous Needling (FSN), a non-pharmacological technique, on muscle stiffness in the lower limbs of individuals with knee OA.Materials and Methods: This study protocol is a pilot, single-center, randomized controlled trial. Sixty knee OA patients will be allocated equally for FSN or electroacupuncture (EA) treatments. Interventions will be applied thrice weekly for the first two weeks and twice weekly for the subsequent two weeks for a total of ten sessions. Assessments will be conducted at baseline, post-initial session, after four weeks of intervention, and at the end of a four-week follow-up. The primary outcome will be the muscle stiffness in the lower extremities, as measured by shear wave elastography (SWE). Secondary outcomes include response rate, a reduction in the mean pain intensity on the Numerical Rating Scale (NRS) by at least two points and on the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) function subscale by six points at week four compared with baseline. Weekly monitoring of the NRS and WOMAC scores will determine the rapidity of pain alleviation and functional improvement, along with 12-item short-form (SF-12) score changes from baseline to week four.Results: This is the first standardized protocol examining the effects of FSN on lower limb muscle stiffness in patients with knee OA by SWE. We hypothesize that FSN could outperform EA in alleviating lower limb stiffness associated with knee OA. Findings will contribute to the body of knowledge regarding the efficacy of acupuncture-derived interventions in managing muscle stiffness and may guide future research directions.Study Registration: The trial has been registered on the Chinese Clinical Trial Registry (Registered number: ChiCTR2300073615). Registered 17 July 2023.Keywords: Fuâs subcutaneous needling, electroacupuncture, muscle stiffness, knee osteoarthritis, shear wave elastography
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».