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Record W4385461534 · doi:10.1016/j.conctc.2023.101196

Efficacy and safety of Tongdutiaoshen acupuncture on insomnia in maintenance hemodialysis patients: A randomized clinical trial protocol

2023· article· en· W4385461534 on OpenAlexfundno aff
Pei Wang, Zheng Wang, Zhongxin Li, Si-hui Ma, Yan Li, Huan Li, Chao Yang, Man Yu, Jiao Wang, Yan-chen An, Min Li

Bibliographic record

VenueContemporary Clinical Trials Communications · 2023
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
FundersCapital Medical UniversityCapital Health
KeywordsPittsburgh Sleep Quality IndexMedicineInsomniaRandomized controlled trialAcupunctureClinical trialPhysical therapyQuality of life (healthcare)AnxietyHemodialysisInternal medicinePsychiatryAlternative medicineSleep quality

Abstract

fetched live from OpenAlex

Background: acupuncture in treating insomnia in patients with MHD. Methods: acupuncture (TA) group. Patients in the control group will be administered estazolam tablets (1 mg/day) for four weeks, followed by a 4-week follow-up period. Based on the background therapy provided for the DC group, the TA group will be administered the interventional cohort three times a week for four weeks in a row, followed by a 4-week follow-up period. The primary endpoints will include the Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Scale (HAM-A), TCM Insomnia Syndrome Score, and clinical response rate, which will be evaluated on days 0, 14, 28, and 56. Secondary endpoints will include sleep data monitoring and related laboratory indices, which will be evaluated on days 0, 28, and 56, respectively. Discussion: acupuncture for insomnia in patients undergoing hemodialysis. The findings of this trial will be published in peer-reviewed journals as reliable evidence. Trial registration: Chinese Clinical Trial Registry ChiCTR2200061967. Registered on July 07, 2022.

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)0.007
metaresearch head score (Gemma)0.005
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 score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0310.004

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 head0.309
GPT teacher head0.525
Teacher spread0.216 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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