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Record W3044746771 · doi:10.1097/md.0000000000021184

Effectiveness and safety of polydioxanone thread-embedding acupuncture (TEA) and electroacupuncture (EA) treatment for knee osteoarthritis (KOA) patients with postoperative pain

2020· article· en· W3044746771 on OpenAlexaboutno aff
Ye Ji Lee, Chang-Hyun Han, Ju Hyun Jeon, Eunseok Kim, Jin Youp Kim, Ki Hyun Park, Ae Ran Kim, Eun Jung Lee, Young Il Kim

Bibliographic record

VenueMedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
FundersKorea Institute of Oriental Medicine
KeywordsMedicineAcupunctureSurgeryOsteoarthritisElectroacupunctureTransplantationRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Degenerative knee osteoarthritis (KOA) shows an increase in morbidity with improvement in the living conditions and extended lifespans. Treatment for degenerative KOA has been gaining attention since it significantly affects the life of the elderly population and is also associated with increased expenses for medical services and high socioeconomic costs. Treatments for degenerative KOA include nondrug therapy, drug therapy, and surgical treatment. For cases that show little response to conservative treatment but have not involved severe deformation of the knee, procedures such as arthroscopic surgery, autologous chondrocyte implantation, or autologous osteochondral transplantation can be performed. However, effective treatment is required for patients experiencing sustained knee pain after surgery. Although studies confirming the therapeutic effects of acupuncture or thread-embedding acupuncture (TEA) treatment for degenerative KOA have been reported, clinical studies on a combination of TEA and electroacupuncture (EA) in patients complaining of knee pain after arthroscopic surgery, autologous chondrocyte implantation, or autologous osteochondral transplantation have not yet been reported. Therefore, this study aimed to evaluate the effectiveness and safety of this combination treatment in patients with persistent knee pain after arthroscopic surgery, autologous chondrocyte implantation, or autologous osteochondral transplantation. METHODS/DESIGN: This study has been designed as a 2-group, parallel, single-center, randomized, controlled, assessor-blinded trial. Thirty-six patients with degenerative KOA who complained of pain even after arthroscopic surgery, autologous chondrocyte implantation, or autologous osteochondral transplantation will be randomized to either the (TEA + EA + Usual care) group or the (Usual care only) group in a 1:1 ratio. The patients in the (TEA + EA + Usual care) group will receive TEA treatment once a week for 4 weeks for a total of 4 sessions and EA twice a week for a total of 8 sessions while continuing usual care. The (Usual care only) group will only receive usual care for 4 weeks. To assess the efficacy of the TEA and EA combination treatment, the visual analogue scale, the Korean version of the Western Ontario and McMaster Universities Osteoarthritis Index, the EuroQol 5-Dimension 5-Level, and the doses of the rescue drug taken will be evaluated at baseline (1W) and weeks 2 (2W), 4 (4W), 6 (6W), and 8 (8W). The primary efficacy endpoint is the mean change in visual analogue scale at week 4 (4W) compared to baseline. Adverse events will be assessed at every visit. DISCUSSION: This study will provide useful data for evaluating the clinical efficacy and safety of TEA and electroacupuncture combination treatment for improving pain and quality of life after surgery for degenerative KOA. TRIAL REGISTRATION: Clinical Research Information Service of Republic of Korea (CRIS- KCT0004804), March 6, 2020.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.011
GPT teacher head0.283
Teacher spread0.272 · 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".

Quick stats

Citations10
Published2020
Admission routes1
Has abstractyes

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