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Record W3107274444 · doi:10.1155/2020/8890521

The Effectiveness and Safety of Manual Acupuncture Therapy in Patients with Poststroke Cognitive Impairment: A Meta-analysis

2020· article· en· W3107274444 on OpenAlexaboutno aff
Wei Liu, Chang Rao, Yu Du, Lili Zhang, Jipeng Yang

Bibliographic record

VenueNeural Plasticity · 2020
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCochrane LibraryMontreal Cognitive AssessmentAcupunctureRandomized controlled trialStroke (engine)MedicineConfidence intervalMEDLINECognitive impairmentMeta-analysisCognitionBarthel indexPhysical therapyInternal medicinePsychiatryActivities of daily livingAlternative medicinePhysicsPathology

Abstract

fetched live from OpenAlex

Background. Poststroke cognitive impairment (PSCI) is a common cause of disability among patients with stroke. Meanwhile, acupuncture has increasingly been used to improve motor and cognitive function for stroke patients. The aim of the present study was to summarize and evaluate the evidence on the effectiveness of acupuncture in treating PSCI. Methods. Eight databases (PubMed, The Cochrane Library, CNKI, WanFang Data, VIP, CBM, Medline, Embase databases) were searched from January 2010 to January 2020. Meta-analyses were conducted for the eligible randomized controlled trials (RCTs). Assessments were performed using Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Barthel Index (BI), or modified Barthel Index (MBI). Results. A total of 657 relevant RCTs were identified, and 22 RCTs with 1856 patients were eventually included. Meta-analysis showed that acupuncture appeared to be effective for improving cognitive function as assessed by MMSE ( <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mtext>mean</a:mtext> <a:mtext> </a:mtext> <a:mtext>difference</a:mtext> <a:mtext> </a:mtext> <a:mfenced open="(" close=")"> <a:mrow> <a:mtext>MD</a:mtext> </a:mrow> </a:mfenced> <a:mo>=</a:mo> <a:mn>1.73</a:mn> </a:math> , 95% confidence interval (CI) (1.39, 2.06), <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" id="M2"> <e:mi>P</e:mi> <e:mo>&lt;</e:mo> <e:mn>0.00001</e:mn> </e:math> ) and MoCA ( <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" id="M3"> <g:mtext>MD</g:mtext> <g:mo>=</g:mo> <g:mn>2.32</g:mn> </g:math> , 95% CI (1.92, 2.73), <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" id="M4"> <i:mi>P</i:mi> <i:mo>&lt;</i:mo> <i:mn>0.00001</i:mn> </i:math> ). Furthermore, it also suggested that acupuncture could improve the activities of daily life (ADL) for PSCI patients as assessed by BI or MBI ( <k:math xmlns:k="http://www.w3.org/1998/Math/MathML" id="M5"> <k:mtext>SMD</k:mtext> <k:mo>=</k:mo> <k:mn>0.97</k:mn> </k:math> , 95% CI (0.57, 1.38), <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" id="M6"> <m:mi>P</m:mi> <m:mo>&lt;</m:mo> <m:mn>0.00001</m:mn> </m:math> ). Conclusions. Compared with nonacupuncture group, acupuncture group showed better effects in improving the scores of MMSE, MoCA, BI, and MBI. This meta-analysis provided positive evidence that acupuncture may be effective in improving cognitive function and activities of daily life for PSCI patients. Meanwhile, long retention time of acupuncture may improve cognitive function and activities of daily life, and twist technique may be an important factor that could influence cognitive function. However, further studies using large samples and a rigorous study design are needed to confirm the role of acupuncture in the treatment of PSCI.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.296
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations6
Published2020
Admission routes1
Has abstractyes

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