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Record W3043369973 · doi:10.1097/md.0000000000021263

A randomized controlled trial to evaluate the effectiveness and safety of electro acupuncture and transcranial direct current stimulation with computerized cognitive rehabilitation in patients with vascular cognitive impairment

2020· article· en· W3043369973 on OpenAlexaboutno aff
Hyeng Kyu Park, Min‐Keun Song, Jae‐Hong Kim, Jae‐Young Han

Bibliographic record

VenueMedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTranscranial direct-current stimulationElectroacupunctureRehabilitationRandomized controlled trialCognitive rehabilitation therapyPhysical medicine and rehabilitationPhysical therapyCognitionAcupunctureMontreal Cognitive AssessmentStroke (engine)Cognitive trainingCognitive impairmentInternal medicineStimulationPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Vascular cognitive impairment (VCI) refers to all cognitive disorders caused by cerebrovascular disorders. For the treatment, many types of pharmacologic and nonpharmacologic treatments are used but their underlying mechanisms and effects are unclear. Regarding nonpharmacologic treatment, electroacupuncture (EA), transcranial direct current stimulation (tDCS), and computerized cognitive rehabilitation treatment (CCRT) are effective. Here, we report the protocol for a randomized controlled trial of the effect and safety of combination therapy of EA or tDCS and CCRT in patients with VCI. METHODS: This study will be a prospective, outcome assessor-blinded, parallel-arm, randomized controlled clinical trial. Participants with cognitive impairment caused by stroke after 3 months of onset (n = 45) will be randomly assigned to a CCRT, combination therapy with EA and computerized cognitive rehabilitation treatment, or combination therapy with tDCS and computerized cognitive rehabilitation treatment group. All groups will receive treatment 3 times per week for 8 weeks, giving a total of 24 treatments. The CCRT group will perform a training task like shopping, calculating, and others and involving computerized cognitive assessment and brain training system (RehaCom) for 30 minutes. The combination therapy with EA and computerized cognitive rehabilitation treatment group will receive EA using 8 acupuncture points - baekhoe, sinjeong, both sides of pungji, 4 sites of sishencong - and will be applied using an EA stimulator and receive CCRT for 30 minutes at the same time. The combination therapy with tDCS and computerized cognitive rehabilitation treatment group will receive tDCS treatment and receive CCRT for 30 minutes at the same time. The primary outcome will be evaluated using the Lowenstein occupational therapy cognitive assessment, while other scales assessing walking ability, activities of daily living, and quality of life are considered secondary outcome measures. Outcomes will be evaluated before intervention, at the end of intervention 8 weeks after the first intervention, and 4 weeks after completion of the intervention program. DISCUSSION: This study aims to examine the effect and safety of combination therapy with EA or tDCS and CCRT in patients with VCI. This study can be useful in developing new treatment technologies using collaborative research with combined traditional Korean and conventional medicines. TRIAL REGISTRATION: This trial has been registered with cris.nih.go.kr (registration number, KCT 0003644 Registered 01 April 2019, http://cris.nih.go.kr).

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)0.008
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0140.001

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 head0.009
GPT teacher head0.301
Teacher spread0.292 · 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
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

Citations7
Published2020
Admission routes1
Has abstractyes

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