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Record W3198778895 · doi:10.21203/rs.2.21321/v1

Acupuncture for amnestic mild cognitive impairment (aMCI): study protocol for a pilot multicenter, randomized, parallel controlled trial

2020· preprint· en· W3198778895 on OpenAlexaboutno aff
Jiayu Zhang, Xu Kuang, Chunzhi Tang, Nenggui Xu, Songhua Xiao, Lingjun Xiao, Shengwen Wang, Liming Lu, Liang Zhang

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
FundersGuangzhou UniversityGuangzhou University of Chinese MedicineNational Natural Science Foundation of China
KeywordsCognitive impairmentRandomized controlled trialAcupunctureProtocol (science)MedicineCognitionPilot trialPhysical medicine and rehabilitationPsychiatryInternal medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

Abstract Background: Patients with amnesic mild cognitive impairment (aMCI) are more likely to develop Alzheimer's disease (AD) than corresponding age normal population. Because AD is irreversible, early intervention for aMCI patients seems important and urgent. We have designed a pilot multicenter, randomized, parallel controlled trial to assess the efficacy and safety of acupuncture on aMCI, and explore the feasibility of acupuncture in the treatment of aMCI, so as to provide a reference for large-sample clinical trials in the next stage. Method: We designed a pilot multicenter, randomized, parallel controlled trial. This trial aims to test the feasibility of carrying out a large-sample clinical trial. In this trial, 50 eligible patients with aMCI will be included and allocated to acupuncture group (n = 25) or sham acupuncture group (n = 25) at random. Subjects will accept treatment 2 times a week for 12 weeks continuously, with a total of 24 treatment sessions. We will select six acupoints (GV20, GV14, bilateral BL18 , bilateral BL23). For the clinical outcomes, the primary outcome is Montreal cognitive assessment (MoCA), which will be assessed from baseline to the end of this trial. And the secondary outcomes are Mini-mental State Examination (MMSE), Delayed Story Recall (DSR), Clinical Dementia Rating scale (CDR), Global Deterioration Scale (GDS), Activity of Daily Life (ADL), Alzheimer's Disease Assessment Scale-Cognitive Section (ADAS-cog), brain Magnetic Resonance Imaging (MRI) , brain functional Magnetic Resonance Imaging (fMRI) and Event-related potential (ERP) P300, which will be assessed before and after treatment. In addition, we will asses the safety outcomes from baseline to the end of this trial and feasibility outcome after treatment. We will evaluate neuropsychological assessment scale (MoCA, MMSE, ADAS-cog) at 3 months and 6months after treatment. Discussion: This pilot trial aims to explore the feasibility of the trial, and verify essential information of its efficacy and safety. This pilot study will provide a preliminary basis for carrying out a larger clinical trial of acupuncture on aMCI in near future. Trial registration: Chinese Clinical Trial Registry , ChiCTR1900021557. Registered on 27 February 2019, http://www.chictr.org.cn/showproj.aspx?proj=35460. Keywords: amnestic Mild Cognitive Impairment , Acupuncture, Clinical trial

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)0.029
metaresearch head score (Gemma)0.025
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 score0.040
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.025
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0120.004
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0400.007

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 head0.250
GPT teacher head0.538
Teacher spread0.288 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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