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Record W4404844069 · doi:10.1016/j.ctim.2024.103114

Clinical evidence of acupuncture for amnestic mild cognitive impairment: A systematic review and meta-analysis of randomized controlled trials

2024· review· en· W4404844069 on OpenAlexaboutno aff
Guangyao Lin, Stella Lim Jin Yie, Shanshan Guo, Xuanling Li, Lianwei Xu

Bibliographic record

VenueComplementary Therapies in Medicine · 2024
Typereview
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisRandomized controlled trialAcupunctureCognitionCognitive impairmentPhysical therapySystematic reviewAmnesiaAlternative medicineMEDLINEPhysical medicine and rehabilitationInternal medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

BACKGROUND: People with amnestic mild cognitive impairment (aMCI) carry a substantial risk of developing dementia compared to non-amnestic MCI (naMCI). Several previous studies proved the remarkable effectiveness of acupuncture for MCI, but they didn't distinguish between aMCI and naMCI. We conducted this meta-analysis to systematically assess the evidence of the efficacy of acupuncture in this unique population with aMCI. METHODS: We comprehensively searched nine databases on January 09, 2024, to identify relevant articles estimating the effects of acupuncture for aMCI, and then assessed the risk of bias of the included trials utilizing the RoB 2.0 tool which included the domain of randomization process, deviation from intended interventions, missing outcome data, measurement of the outcome, selection of the reported outcome, and overall bias. The results of this meta-analysis were exhibited with forest plots. Sensitivity analyses were conducted to determine the robustness of the pooled results, and publication bias was estimated by Egger's and Begg's tests. Besides, we also performed subgroup analysis to determine whether there was a difference in therapeutic effects between four weeks and eight weeks of treatment duration. The certainty of the evidence was graded using GRADEpro GDT. RESULTS: A total of 15 randomized controlled trials (RCTs) involving 908 people with aMCI were included in this study. According to the meta-analysis, acupuncture treatment provided a remarkable improvement in cognitive function as assessed by Mini-Mental State Examination (MD = 1.09, 95 %CI [0.86, 1.31], p < 0.00001), Montreal Cognitive Assessment (MD = 0.93, 95 %CI [0.80, 1.07], p < 0.00001), Alzheimer's Disease Assessment Scale-Cognitive (MD = 1.00, 95 %CI [-1.23, -0.77], p < 0.00001), and P300 latency (MD = -15.40, 95 %CI [-23.68, -7.12], p = 0.0003). Subgroup analysis showed evidence that the efficacy of four weeks of acupuncture treatment was consistent with that of eight weeks. Sensitivity analyses, Egger's and Begg's tests suggested the pooled results were robust and reliable. The overall quality of the evidence, as appraised by the GRADE criteria, was very low or low for all outcomes. CONCLUSIONS: The evidence from 15 RCTs demonstrated that acupuncture interventions are effective in ameliorating cognitive function in people with aMCI. There is a need for larger-scale multicenter RCTs using standardised training protocols and more rigorous designs to confirm the conclusions further. REGISTRATION: This study was registered in the International Prospective Register of Systematic Reviews (PROSPERO). The registration number is CRD42023460470.

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)0.048
metaresearch head score (Gemma)0.042
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0480.042
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.1700.022
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.452
GPT teacher head0.584
Teacher spread0.132 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations8
Published2024
Admission routes1
Has abstractyes

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