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Record W4405386476 · doi:10.2147/jpr.s492158

Effect of Acupuncture Intervention on Chronic Musculoskeletal Pain in Hemodialysis-Dependent Kidney Failure Patients: Study Protocol for a Randomized Controlled Clinical Trial

2024· article· en· W4405386476 on OpenAlexaboutno aff
Cuina Yan, Huirong Liu, Qi Kong, Jia Hui Gan, Kun Liu, Weiguo Yao, Xingmei Yao

Bibliographic record

VenueJournal of Pain Research · 2024
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
FundersShanghai University of Traditional Chinese Medicine
KeywordsMedicineAcupunctureRandomized controlled trialPhysical therapyHemodialysisIntervention (counseling)Chronic painMusculoskeletal painAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: Chronic musculoskeletal pain is prevalent in individuals with hemodialysis-dependent renal failure (HDKF). The current opioid crisis highlights the urgent need for effective non-pharmacological pain management. Acupuncture, identified as a non-pharmacological intervention in clinical settings, holds promise for alleviating chronic musculoskeletal pain in HDKF patients, but well-designed studies assessing its specific effects in this population are lacking. This study aims to comprehensively evaluate the efficacy and safety of acupuncture as a treatment modality for HDKF patients with chronic musculoskeletal pain. Methods: This trial, conducted at a single center, follows a parallel, three-arm design with randomization and sham control. 90 hDKF patients with chronic musculoskeletal pain will be assigned randomly to three groups (acupuncture, sham acupuncture, and waiting-list control) in a 1:1:1 ratio. The acupuncture and sham acupuncture groups will undergo 24 treatment sessions over eight weeks, while the waiting-list control group will receive no acupuncture. The primary outcome measures changes in the Numeric Rating Scale (NRS) score from baseline at the end of treatment, with secondary outcomes including the Edmonton Symptom Assessment System (revised version) (ESAS-r), Palliative care Outcome Scale (rental) (POS-renal), and hospital anxiety and depression scale (HADS). Adverse events will be recorded throughout the study, and all randomized patients will be included in the intention-to-treat analysis. Discussion: The outcomes of this research aim to advance the systematic management of chronic musculoskeletal pain in HDKF patients through non-pharmacological interventions. Moreover, it will contribute insights into personalized treatment strategies, integrating individual expectations and genetic biomarkers to provide "precision" acupuncture for HDKF patients experiencing chronic musculoskeletal pain. Trial Registration: The trial registration number is ChiCTR2400080488. This trial was prospectively registered on 30 January 2024 in the Chinese Clinical Trial Registry.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.181
metaresearch head score (Gemma)0.138
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.372
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1810.138
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.046
GPT teacher head0.516
Teacher spread0.469 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2024
Admission routes1
Has abstractyes

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