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Record W4378639979 · doi:10.2196/46054

Efficacy of Naprapathy in Brachial Plexus Injury: Protocol for a Randomized Clinical Trial

2023· article· en· W4378639979 on OpenAlexvenueno aff
Bin Xiao, Lishu Zhao, Yong Huang, Anqi Ma, Baoshun Pei, Zhengyu Li, Fei Gu

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMedicineBrachial plexusRandomized controlled trialPhysical therapyRehabilitationBrachial plexus injuryVisual analogue scaleClinical trialPhysical medicine and rehabilitationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical rehabilitation for brachial plexus injury is difficult in terms of chronic pain and dysfunction. Physiotherapy is considered a routine intervention for rehabilitation. Common physical therapy may require a variety of instruments. One approach that does not need instruments, but belongs to the field of complementary and alternative medicine, is naprapathy. Naprapathy, also called Tuina in China, has been applied in rehabilitation after brachial plexus injury for a long time. Naprapathy can relieve chronic neuropathic pain, promote local blood circulation, and improve body edema. Naprapathy can passively help improve motor functions in patients with peripheral nerve injury. However, the efficacy of naprapathy in improving rehabilitation after brachial plexus injury is unclear. OBJECTIVE: This study aims to evaluate the additional value of naprapathy when combined with conventional physical therapy for the treatment of brachial plexus injury. METHODS: This will be a single-center randomized controlled trial. A total of 116 eligible patients with brachial plexus injury will be randomly divided into an experimental group (naprapathy plus physical therapy group) or a control group (physical therapy group). The participants will be followed up for 4 weeks of treatment. Observation outcomes will include the visual analog scale score, upper limb index, electromyography findings, and adverse reactions, among others. The measuring points for outcomes will be the baseline and the completion of treatment. In addition, a quality control group independent from the research team will be set up to control the quality of the trial. Finally, the data will be analyzed using SPSS software (version 21.0; IBM Corp). RESULTS: The study is recruiting participants. The first participant was enrolled in September 2021. As of January 2023, a total of 100 participants have been enrolled. The trial is expected to be completed by September 2023. The study protocol was approved by the Ethics Review Committee of Yue Yang Hospital affiliated with the Shanghai University of Traditional Chinese Medicine (2021-012). CONCLUSIONS: One limitation of this trial is that we will be unable to achieve strict double-blinding because of the features of naprapathy. The trial aims to contribute reliable evidence for decision-making in naprapathy for treating brachial plexus injury. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2100043515; http://www.chictr.org.cn/showproj.aspx?proj=122154. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46054.

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)0.043
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.077
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.038
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0140.007
Bibliometrics0.0030.004
Science and technology studies0.0040.004
Scholarly communication0.0050.004
Open science0.0040.002
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0770.011

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 head0.377
GPT teacher head0.659
Teacher spread0.282 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations2
Published2023
Admission routes1
Has abstractyes

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