Evidence map›Paper›PMID 34873371›Full record

ArticleJournal of physical therapy science2021

The hotspots and trends of coronavirus disease 2019 (COVID-19) and physical therapy: a bibliometric and visual analysis.

Conghui Li, Ziwei Li, Jiabao Guo, Yujie Yang, Chunyu Liu, Mengqi Wang, Yi Zhu

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Conghui LiAcademy of Medical Sciences, Zhengzhou University, China.
Ziwei LiDepartment of Musculoskeletal Pain Rehabilitation, The Fifth Affiliated Hospital of Zhengzhou University: 450000, China.
Jiabao GuoThe Second School of Clinical Medicine, Xuzhou Medical University, China.
Yujie YangDepartment of Biomedical Sciences, City University of Hong Kong, China.
Chunyu LiuDepartment of Musculoskeletal Pain Rehabilitation, The Fifth Affiliated Hospital of Zhengzhou University: 450000, China.
Mengqi WangDepartment of Musculoskeletal Pain Rehabilitation, The Fifth Affiliated Hospital of Zhengzhou University: 450000, China.
Yi ZhuDepartment of Musculoskeletal Pain Rehabilitation, The Fifth Affiliated Hospital of Zhengzhou University: 450000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] With the COVID-19 pandemic, more and more articles have been published to explore the role of physical therapy on COVID-19. In order to analyze the research hotspots and the trends of physical therapy and COVID-19, we conducted bibliometric and visual analysis. [Methods] Data were collected from the Science Citation Index Expanded (SCI-EXPANDED) and Social Sciences Citation Index (SSCI) of the Web of Science Core Collect (WoSCC) from 2019 to 2021. CiteSpace and VOSviewer were used to perform the visual analysis of keywords and references to help quickly get key information. [Results] A total of 466 publications were retrieved. Exercise, sedentary behavior, and mental health were research hotspots. The relationship between exercise and immunity, as well as the management of COVID-19 patients after discharge were the research trends. [Conclusion] This study provided relevant information for future research. Findings suggested that physical therapy is beneficial for suspected or confirmed COVID-19 patients during isolation. It is hoped that academic exchanges can be quickly established in the face of infectious diseases. And in the future, we should focus on the rehabilitation of discharged patients.

Indexed as

BibliometricsCoronavirus disease 2019Physical therapy

Identifiers

PMID34873371
PMCPMC8636920

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.