Evidence map›Paper›PMID 35813460›Full record

ArticlePhysica A2022

Most influential countries in the international medical device trade: Network-based analysis.

Xiao Bai, Xiaoqian Hu, Chao Wang, Ming K Lim, André L M Vilela, Pezhman Ghadimi, Cuiyou Yao, H Eugene Stanley, Huji Xu

Abstract read
In one paragraph

Article in Physica A, 2022. 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

9 authors.

Xiao BaiBeijing Tsinghua Changgeng Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Xiaoqian HuSchool of Management and Engineering, Capital University of Economics and Business, Beijing, China.
Chao WangCollege of Economics and Management, Beijing University of Technology, Beijing, China.
Ming K LimAdam Smith Business School, University of Glasgow, Glasgow, UK.
André L M VilelaFísica de Materiais, Universidade de Pernambuco, Recife, PE, 50100-010, Brazil.
Pezhman GhadimiLaboratory for Advanced Manufacturing Simulation and Robotics, School of Mechanical & Materials Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
Cuiyou YaoSchool of Management and Engineering, Capital University of Economics and Business, Beijing, China.
H Eugene StanleyCenter for Polymer Studies and Department of Physics, Boston University, Boston, MA, USA.
Huji XuDepartment of Rheumatology and Immunology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, the international medical device trade has received extensive attention. To maintain the domestic supply of medical devices, some countries have sought multilateral trade cooperation or simply implemented export restrictions, which has exacerbated the instability and fragility of the global medical device market. It is crucial for government policymakers to identify the most influential countries in the international medical device trade and nip exports in the bud. However, few efforts have been made in previous studies to explore various countries' influence on the international medical device trade in light of their intricate trade relationships. To fill these research gaps, this study constructs a global medical device trade network (GMDTN) and explores the criticality of various countries from a network-based perspective. The evolution patterns and geographical distribution of influence among countries in the GMDTN are revealed. Details on the ways in which the influence of some crucial countries has formed are provided. The results show that the global medical device trade market is export oriented. The formation of some countries' strong influence may be due to their large number of trading partners or the deep dependence of some of those trading partners on that country (namely, breadth- or depth-based patterns). It is worth noting that the US has a dominant position in the international medical device trade in terms of both breadth and depth. In addition, some countries play a critical role as intermediate points in the influence formation process of other countries, although these countries are not critical direct trading partners. The findings of this study provide implications for policymakers seeking to understand the influence of countries on the international medical device trade and to proactively prepare responses to unexpected changes in this trade.

Indexed as

Complex networkInfluential countriesMedical deviceTrade network

Identifiers

PMID35813460
PMCPMC9250171

What OpenQuestion holds

Textmetadata
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.