Evidence map›Paper›PMID 36177952›Full record

ArticleClinical and translational science2022

Positive association between research competitiveness of Chinese academic hospitals and the scale of their biobanks: A national survey.

Yinan Zhang, Zhouliang Bian, Yuanyuan Chen, Erpeng Jiang, Tianlu Chen, Congrong Wang

Abstract read
In one paragraph

Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Yinan ZhangShanghai Jiao Tong University Affiliated Sixth People's Hospital, The Metabolic Disease Biobank, Shanghai, China.
Zhouliang BianThe Ninth People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuanyuan ChenKey Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou Hospital of Zhejiang Province, Zhejiang, China.
Erpeng JiangShanghai International Medical Center, Shanghai, China.
Tianlu ChenCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Congrong WangDepartment of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0002-8645-1114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biobanks are important research infrastructure developed rapidly by Chinese hospitals. The objective of this study is to investigate the association between the comprehensive research competitiveness of hospitals and the development of hospital biobanks. In 2018, we conducted a national survey among Chinese biobank managers and directors. An online questionnaire was used to collect data of biobank characteristics. Of the 70 academic hospital biobanks responded to our survey, 49 of their hospitals were listed in the Science and Technology Evaluation Metrics (STEM) and 46 of their hospitals were listed in the Fudan Hospital Rankings, respectively, in 2018. Hospital scores from the STEM and Fudan Hospital Rankings were identified from their official websites. Multivariate linear regression analyses were used to assess the associations of STEM scores and Fudan Hospital Rankings with the scale of biobanks. The overall STEM score, Scientific and Technological Output, and Academic Impact in hospitals with large-scale biobanks were 48.35%, 55.16%, and 58.65% higher than those with small-scale biobanks, respectively. The scale of biobanks was positively associated with STEM score (β = 0.367, p = 0.009), Scientific and Technological Output (β = 0.441, p = 0.001), and Academic Impact (β = 0.304, p = 0.044) after adjustment for potential confounders. For Fudan Hospital Rankings, the comprehensive score and sustainable development ability score were higher in hospitals with large-scale biobanks. Further analyses showed that the scale of the biobanks was positively associated with a higher comprehensive score (β = 0.313, p = 0.037) and a sustainable development ability score (β = 0.463, p < 0.001). The scale of hospital biobanks was positively associated with the research competitiveness of Chinese hospitals.

Indexed as

Biological Specimen BanksEast Asian PeopleHospitalsHumansSurveys and Questionnaires

Identifiers

PMID36177952
PMCPMC9747119

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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.