Evidence map›Paper›PMID 41362171›Full record

ArticleComplementary medicine research2026

Utilizing the DMN and DAN to Study the Effects of Acupuncture on Patients with Cognitive Impairment in Long COVID: A Pragmatic Randomized Controlled Trial Protocol.

Jing Chen, Yanyu Wu, Ziang Zhang, Mengru Shen, Yang Zhou, Han Zhang, Zesen Zhuang, Shiqi Wang, Dan Wang, Lei Xu and 2 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Complementary medicine research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jing ChenFirst Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yanyu WuFirst Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Ziang ZhangFirst Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Mengru ShenFirst Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yang ZhouGuangzhou University of Chinese Medicine, Guangzhou, China.
Han ZhangDepartment of Rehabilitation, The People's Hospital of Baoan Shenzhen, Bengbu Medical College, Shenzhen, China.
Zesen ZhuangDepartment of Rehabilitation, The People's Hospital of Baoan Shenzhen, Bengbu Medical College, Shenzhen, China.
Shiqi WangDepartment of Rehabilitation, The People's Hospital of Baoan Shenzhen, Bengbu Medical College, Shenzhen, China.
Dan WangDepartment of Rehabilitation, The People's Hospital of Baoan Shenzhen, Bengbu Medical College, Shenzhen, China.
Lei XuFirst Affiliated Hospital of Bengbu Medical College, Bengbu, China, xuleibyfy@163.com.
Yingqi LuDepartment of Rehabilitation, The People's Hospital of Baoan Shenzhen, Bengbu Medical College, Shenzhen, China, lyq01232023@163.com.
Shangjie ChenDepartment of Rehabilitation, The People's Hospital of Baoan Shenzhen, Bengbu Medical College, Shenzhen, China, csjmesz@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Background: Cognitive impairment is one of the long COVID symptoms that many people experience after Coronavirus Disease 2019 (COVID-19). Many individuals report a decline in cognitive functions, such as reduced memory and brain fog. These symptoms not only directly affect the cognitive functions of the brain but also hinder daily living activities, thereby reducing the quality of life. Moreover, these symptoms are significant risk factors for long-term cognitive decline in the elderly and can have both short-term and long-term effects on brain function. Clinically, acupuncture is widely used to improve cognitive impairment in the elderly. Elucidating the brain network mechanisms underlying acupuncture therapy for long COVID-related cognitive impairment represents an urgently needed research focus. In this study, we employed acupuncture as an intervention to mitigate cognitive decline in long COVID patients and investigate the potential mechanisms by which acupuncture alleviates cognitive impairment. Methods: In this randomized controlled trial, 60 eligible participants are planned to be recruited and randomly assigned in a 1:1 ratio to the acupuncture group and the health education group, which will then receive acupuncture treatment and health education. The acupuncture group will participate in treatment three times per week for a total of 8 weeks. The health education group will receive health education once per week for a total of 8 weeks. The primary assessment index was the Montreal Cognitive Assessment Scale (MoCA), and the secondary assessment indexes included Clinical Dementia Rating (CDR), Mini-Mental State Examination (MMSE), Activity of Daily Living Scale (ADL), Auditory Verbal Learning Test-Huashan Version (AVLT-H), and resting-state functional magnetic resonance imaging data. These assessment indicators were all tested in 1 week each before and after the intervention was implemented. Discussion: This trial aims to investigate the therapeutic effects of acupuncture on cognitive impairment in patients with long COVID and to further explore the imaging mechanisms by which acupuncture alleviates cognitive dysfunction in these patients. </p>.

Indexed as

Acupuncture TherapyCognitive DysfunctionCOVID-19AgedBrainFemaleHumansMaleMiddle AgedPragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicSARS-CoV-2AcupunctureAkupunkturBrain networkCognitive impairmentFunctional magnetic resonance imagingFunktionelle MagnetresonanztomographieHirnnetzwerkImagerie par résonance magnétique fonctionnelleKognitive BeeinträchtigungLong COVIDRéseau cérébralTrouble cognitif

Identifiers

PMID41362171
PMCPMC12826761

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.