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Record W7009341312

Effectiveness and Safety of Acupotomy on Lumbar Spinal Stenosis: A Pragmatic, Pilot, Randomized Controlled Trial

2023· article· en· W7009341312 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLumbar spinal stenosisRandomized controlled trialAcupunctureLumbarClinical trialBack pain
DOInot available

Abstract

fetched live from OpenAlex

Jung Hee Lee,1,* Hyun-Jong Lee,1,* Sang Ha Woo,1 Yu-Kyeong Park,1 Ji Hoon Han,1 Ga-Young Choi,1 Eun Sil Heo,1 Jae Soo Kim,1 Chung A Park,2 Woo Dong Lee,3 Chang Sop Yang,4 Ae-Ran Kim,5 Chang-Hyun Han4,6 1Department of Acupuncture & Moxibustion, College of Korean Medicine, Daegu Haany University, Daegu, Republic of Korea; 2Department of Diagnostics, College of Korean Medicine, Daegu Haany University, Daegu, Republic of Korea; 3Pre-Major of Cosmetics and Pharmaceutics, College of Herbal Bio-Industry, Daegu Haany University, Daegu, Republic of Korea; 4KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea; 5Clinical Research Coordinating Team, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea; 6Korean Convergence Medicine, University of Science & Technology (UST), Campus of Korea Institute of Oriental Medicine, Daejeon, Republic of Korea*These authors contributed equally to this workCorrespondence: Chang-Hyun Han, KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, 34054, Republic of Korea, Tel +82 42 868 9498, Fax +82 42 869 2775, Email chhan@kiom.re.krPurpose: In Korea, complex treatments such as acupotomy, acupuncture, and physical therapy are performed for lumbar spinal stenosis (LSS). Although there are reports of acupotomy as monotherapy or acupuncture treatment for LSS, pragmatic studies are lacking. Therefore, this study aimed to determine the effectiveness and safety of acupotomy for LSS to provide baseline evidence for a large-scale study.Materials and Methods: This pragmatic randomized controlled pilot study enrolled 34 participants and randomly assigned them to two groups (n=17/group). The intervention was conducted for 8 weeks. Acupotomy plus and usual care groups received acupuncture (17 acupoints) and interferential current therapy (ICT) twice weekly; however, the acupotomy plus group received an additional acupotomy (7 acupoints) for treatment of the usual care group. The primary outcome was measured using visual analog scales (VAS), and secondary outcomes were assessed using the self-rated walking distance, short-form McGill Pain Questionnaire (SF-MPQ), and the Oswestry Disability Index (ODI). Outcome measurements were conducted at baseline and 4, 8, and 12 weeks after the commencement of the intervention. Adverse events were assessed at each visit. Hematological and biochemical examinations were performed at screening and week 8.Results: Overall, 33 of the 34 participants completed the study, and one participant in the usual care group dropped out. In both groups, VAS scores at weeks 4, 8, and 12 significantly improved compared to baseline. Also, self-rated walking distance, SF-MPQ, and ODI scores were significantly improved at weeks 4, 8, and 12 than at baseline. However, there were no significant differences in the time-dependent and group-to-time interactions between the two groups. In addition, no severe adverse reactions were reported, and there were no significant differences in hematological and biochemical results.Conclusion: This study provides baseline data for large-scale studies on the effectiveness and safety of acupotomy in LSS.Clinical Trial Number: KCT0006234.Keywords: complementary therapy, pragmatic clinical trial, low back pain, acupuncture therapy

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.155
GPT teacher head0.550
Teacher spread0.395 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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