Evidence map›Paper›PMID 36875696›Full record

SynthesisFrontiers in aging neuroscience2023

Acupuncture on mild cognitive impairment: A systematic review of neuroimaging studies.

Zihan Yin, Jun Zhou, Manze Xia, Zhenghong Chen, Yaqin Li, Xinyue Zhang, Xiang Li, Hang Yan, Lu Wang, Mingsheng Sun and 3 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Zihan YinSchool 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.
Manze XiaSchool 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.
Yaqin LiSchool 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.
Xiang LiSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hang YanSchool of Basic Medicine, Zhejiang University of Traditional Chinese Medicine, Hangzhou, China.
Lu WangSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Mingsheng SunSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ling ZhaoSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fanrong LiangSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ziwen WangSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chengdu University of Traditional Chinese Medicine · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild cognitive impairment (MCI) is a multifactorial and complex central neurodegenerative disease. Acupuncture appears to be an effective method for cognitive function improvement in MCI patients. Neural plasticity remaining in the MCI brain implies that acupuncture-associated benefits may not be limited to the cognitive function. Instead, neurological alternations in the brain play a vital role in corresponding to the cognitive improvement. However, previous studies have mainly focused on the effects of cognitive function, leaving neurological findings relatively unclear. This systematic review summarized existing studies that used various brain imaging techniques to explore the neurological effect regarding acupuncture use for MCI treatment. Potential neuroimaging trials were searched, collected, and identified independently by two researchers. Four Chinese databases, four English databases, and additional sources were searched to identify studies reporting the use of acupuncture for MCI from the inception of databases until 1 June 2022. Methodological quality was appraised using the Cochrane risk-of-bias tool. In addition, general, methodological, and brain neuroimaging information was extracted and summarized to investigate the potential neural mechanisms by which acupuncture affects patients with MCI. In total, 22 studies involving 647 participants were included. The methodological quality of the included studies was moderate to high. The methods used included functional magnetic resonance imaging, diffusion tensor imaging, functional near-infrared spectroscopy, and magnetic resonance spectroscopy. Acupuncture-induced brain alterations observed in those patients with MCI tended to be observable in the cingulate cortex, prefrontal cortex, and hippocampus. The effect of acupuncture on MCI may play a role in regulating the default mode network, central executive network, and salience network. Based on these studies, researchers could extend the recent research focus from the cognitive domain to the neurological level. Future researches should develop additional relevant, well-designed, high-quality, and multimodal neuroimaging researches to detect the effects of acupuncture on the brains of MCI patients.

Indexed as

acupuncturemechanismmild cognitive impairmentneuroimagingsystematic review

Identifiers

PMID36875696
PMCPMC9975578
OpenAlexW4320920986

What OpenQuestion 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 OpenQuestion graph.