Evidence map›Paper›PMID 35087399›Full record

ArticleFrontiers in aging neuroscience2021

The Effective Cognitive Assessment and Training Methods for COVID-19 Patients With Cognitive Impairment.

Dong Wen, Jian Xu, Zhonglin Wu, Yijun Liu, Yanhong Zhou, Jingjing Li, Shaochang Wang, Xianlin Dong, M Iqbal Saripan, Haiqing Song

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2021. 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
–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

2 citing papers in PubMed.

  1. NeuroCOVID-19: a critical review.Arquivos de neuro-psiquiatria · 2022
    Review
  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

10 authors.

Dong WenBrain Computer Intelligence and Intelligent Health Institution, Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China.
Jian XuThe Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.
Zhonglin WuThe Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.
Yijun LiuDepartment of Statistics, School of Science, Yanshan University, Qinhuangdao, China.
Yanhong ZhouDepartment of Computer Science and Technology, School of Mathematics and Information Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China.
Jingjing LiThe Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.
Shaochang WangThe Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.
Xianlin DongDepartment of Biomedical Engineering, Chengde Medical University, Chengde, China.
M Iqbal SaripanDepartment of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia.
Haiqing SongDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

brain-computer interfacecognitive assessment and trainingcognitive impairmentCOVID-19 patientsvirtual reality

Identifiers

PMID35087399
PMCPMC8787269

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.