Evidence map›Paper›PMID 40823228›Full record

ArticleFrontiers in public health2025

Innovation networks in the advanced medical equipment industry: supporting regional digital health systems from a local-national perspective.

Feng Hu, Huijie Yang, Liping Qiu, Xiaoping Wang, Zhimin Ren, Shaobin Wei, Haiyan Zhou, Yufeng Chen, Hao Hu

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In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Feng Hu *Institute of International Business & Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
Huijie Yang *International Business School, Shanghai University of International Business and Economics, Shanghai, China.
Liping Qiu *CEEC Economic and Trade Cooperation Institute, Ningbo University, Ningbo, China.
Xiaoping Wang *College of Business Administration, Ningbo University of Finance and Economics, Ningbo, China.
Zhimin Ren *School of Management, Zhejiang Gongshang University Hangzhou College of Commerce, Hangzhou, China.
Shaobin WeiInstitute of Digital Economy and Financial Powerhouse Building, Guangdong University of Finance, Guangzhou, China.
Haiyan ZhouGraduate School, Nueva Ecija University of Science and Technology, Cabanatuan, Philippines.
Yufeng ChenSchool of Economics and Management, Zhejiang Normal University, Jinhua, China.
Hao HuSchool of Economics, Shanghai University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the spatial structure and influencing factors of the innovation network in the advanced medical equipment and device manufacturing industry in the Yangtze River Delta (YRD). This industry is crucial to public health system resilience and regional industrial upgrading. Drawing on joint patent data from the IncoPat Global Patent Database covering the period 2005-2024, the study constructs innovation networks and conducts comparative analyses from both national and regional perspectives using social network analysis and geodetector methods. The findings reveal that: (1) At the national level, the innovation network has gradually expanded but remains sparse, characterized by a "core-periphery" structure dominated by Beijing and Shanghai. Urban participation in central and western China is limited. Short-term objectives often drive industry-university-research collaborations, and collaborations in basic research among academic institutions remain insufficient. (2) In contrast, the YRD region has formed a denser, polycentric network, with Shanghai as the primary hub and Nanjing and Suzhou as key secondary centers. Local enterprises exhibit strong incentives to engage in collaborative innovation within industry-university-research frameworks. (3) Geodetector analyses indicate that economic development, technological capability, and government policy support are major drivers of network formation, while infrastructure quality plays a crucial enabling role. The relative importance of these factors varies between national and regional levels. These results provide empirical evidence to inform regional innovation strategies and targeted policy design for strengthening collaboration in the advanced medical equipment industry.

Indexed as

Equipment and SuppliesIndustryInventionsChinaDigital HealthHumanscore citiesinnovation networkmedical equipmentpublic healthspatial pattern

Identifiers

PMID40823228
PMCPMC12350417

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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.