Evidence map›Paper›PMID 35665277›Full record

ArticleComputational intelligence and neuroscience2022

Classification Algorithm-Based fMRI Images for Evaluating the Effect of Yishen Tiaodu Acupuncture on the Recovery Period of Cerebral Infarction.

Zhuo Feng, Miaomiao Hu, Wei Yuan, Xiaojun Zhao, Jiazhi Zeng, Kaibin Zhou

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 2 institutions in 1 country.

Zhuo FengDepartment of Acupuncture, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, Guangxi, China.ORCID https://orcid.org/0000-0002-3879-6732
Miaomiao HuDepartment of Sports, Guangxi Medical University, Nanning 530021, Guangxi, China.ORCID https://orcid.org/0000-0002-3942-4471
Wei YuanDepartment of Acupuncture, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, Guangxi, China.ORCID https://orcid.org/0000-0001-6668-8133
Xiaojun ZhaoGraduate School, Guangxi University of Chinese Medicine, Nanning 530200, Guangxi, China.ORCID https://orcid.org/0000-0003-3075-4949
Jiazhi ZengDepartment of Acupuncture, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, Guangxi, China.ORCID https://orcid.org/0000-0001-6821-2614
Kaibin ZhouDepartment of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi, China.ORCID https://orcid.org/0000-0002-5938-2555
Guangxi University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the application value of multifeature fusion classification algorithm based on deep learning and Yishen Tiaodu acupuncture in the diagnosis and treatment of patients with cerebral infarction in convalescence.

Indexed as

Acupuncture TherapyMagnetic Resonance ImagingActivities of Daily LivingAlgorithmsCerebral InfarctionConvalescenceDrugs, Chinese HerbalHumansDrugs, Chinese Herbalyishen

Identifiers

PMID35665277
PMCPMC9159848
OpenAlexW4281572724

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.