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Record W4416511398 · doi:10.2196/72352

Sitting Baduanjin Combined With Acupoint Massage on Frailty in Patients Undergoing Maintenance Hemodialysis: Protocol for a Randomized Controlled Trial

2025· article· en· W4416511398 on OpenAlexvenueno aff
Hongmei Xie, J. Hou, Jing Shi, Shasha Luo

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicBiofield Effects and Biophysics
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialMassageProtocol (science)SittingRandomizationAcupunctureClinical trial

Abstract

fetched live from OpenAlex

Background: Patients undergoing maintenance hemodialysis (MHD) endure weakness due to prolonged dialysis treatment, such as the continuous decline of muscle strength in patients, which will have varying degrees of impact on human physiological, psychological, and social functions. Effective nonpharmacological interventions can improve their mental health and quality of life (QoL). Objective: This study aimed to investigate the effects of sitting Baduanjin combined with acupoint massage on improving the frailty status of patients undergoing MHD and evaluate whether it can significantly improve their physical activity, alleviate depressive emotions, and comprehensively improve their QoL. Methods: This is a randomized controlled study to be conducted in the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, comprising 114 patients to be treated using MHD. Patients who meet the inclusion and exclusion criteria will be randomly divided into 3 groups: the control group will receive only conventional hemodialysis and care, the acupoint massage group will receive acupoint massage treatment in addition to the control group treatment, and the sitting combined with acupoint massage group will receive sitting Baduanjin combined with acupoint massage and the control group treatment. We aim to comprehensively evaluate the clinical efficacy by comparing the FRAIL (Fatigue, Resistance, Ambulation, Illness, and Weight Loss) scale scores, grip strength, 10 times sit-to-stand test, Self-Rating Depression Scale scores, and QoL (Short Form Health Survey Questionnaire) scores before and after 8 weeks of treatment among the 3 groups. Statistical analysis will be conducted using the Statistical Package for the Social Sciences software (version 25.0; IBM Corporation). Results: The first participant was enrolled on August 8, 2024. As of August 2025, a total of 52 participants have been fully registered, and the intervention is currently in progress. We expect the completion of this trial to occur within the year 2025. Conclusions: The results of this study can provide a scientific basis for the future treatment of patients with asthenia in hemodialysis.

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)0.020
metaresearch head score (Gemma)0.015
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.015
Meta-epidemiology (narrow)0.0060.002
Meta-epidemiology (broad)0.0160.007
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0380.005

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 head0.081
GPT teacher head0.473
Teacher spread0.392 · 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
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

Citations1
Published2025
Admission routes1
Has abstractyes

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