Evidence map›Paper›PMID 36823586›Full record

SynthesisBMC complementary medicine and therapies2023

Neuroimaging studies of acupuncture on Alzheimer's disease: a systematic review.

Zihan Yin, Ziqi Wang, Yaqin Li, Jun Zhou, Zhenghong Chen, Manze Xia, Xinyue Zhang, Jiajing Wu, Ling Zhao, Fanrong Liang

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC complementary medicine and therapies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Zihan Yin *School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ziqi Wang *the Fourth People's Hospital of Chengdu, Chengdu, China.
Yaqin Li *School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jun ZhouSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhenghong ChenSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Manze XiaSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xinyue ZhangSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jiajing WuSchool of Nursing, Zunyi Medical University, Zunyi, China.
Ling ZhaoSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China. zhaoling@cdutcm.edu.cn.
Fanrong LiangSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China. acuresearch@126.com.
Chengdu University of Traditional Chinese Medicine · CNFourth People's Hospital of Sichuan Province · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcupuncture effectively improves cognitive function in Alzheimer's disease (AD). Many neuroimaging studies have found significant brain alterations after acupuncture treatment of AD, but the underlying central modulation mechanism is unclear.

objectiveThis review aims to provide neuroimaging evidence to understand the central mechanisms of acupuncture in patients with AD.

methodsRelevant neuroimaging studies about acupuncture for AD were retrieved from eight English and Chinese medicine databases (PubMed, Embase, Cochrane Library, Web of Science, SinoMed, CNKI, WF, VIP) and other resources from inception of databases until June 1, 2022, and their methodological quality was assessed using RoB 2.0 and ROBINS - I. Brain neuroimaging information was extracted to investigate the potential neural mechanism of acupuncture for AD. Descriptive statistics were used for data analysis.

resultsThirteen neuroimaging studies involving 275 participants were included in this review, and the overall methodological quality of included studies was moderate. The approaches applied included task-state functional magnetic resonance imaging (ts-fMRI; n = 9 studies) and rest-state functional magnetic resonance imaging (rs-fMRI; n = 4 studies). All studies focused on the instant effect of acupuncture on the brains of AD participants, including the cingulate gyrus, middle frontal gyrus, and cerebellum, indicating that acupuncture may regulate the default mode, central executive, and frontoparietal networks.

conclusionThis study provides evidence of the neural mechanisms underlying the effect of acupuncture on AD involving cognitive- and motor-associated networks. However, this evidence is still in the preliminary investigation stage. Large-scale, well-designed, multimodal neuroimaging trials are still required to provide comprehensive insight into the central mechanism underlying the effect of acupuncture on AD. (Systematic review registration at PROSPERO, No. CRD42022331527).

Indexed as

Acupuncture TherapyAlzheimer DiseaseBrainHumansMagnetic Resonance ImagingNeuroimagingAcupunctureAlzheimer’s diseaseNeuroimagingSystematic review

Identifiers

PMID36823586
PMCPMC9948384
OpenAlexW4321616001

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.