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Conference object . 2023
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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
Data sources: Datacite
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Has COVID-19 Crowded Out Medical Research Resources from Non-COVID-19 Diseases? ---- Observations From Clinical Trials

Authors: Wenjing Zhao; Jian Du;

Has COVID-19 Crowded Out Medical Research Resources from Non-COVID-19 Diseases? ---- Observations From Clinical Trials

Abstract

The suspension of clinical trials during the COVID-19 pandemic has been discussed widely. But no systemic study has examined the crowding-out effect of COVID-19 on the clinical trials of non-COVID-19 diseases under a well-recognized disease classification system. By acquiring disease-specific trials data from ClinicalTrials.gov and Dimensions, this study explores the crowding-out effect of COVID-19 from the aspects of trials' activeness and efficiency, as well as the scientific collaboration from multiregional clinical trials (MRCTs). In addition to global observation, the USA, China, Japan, the UK are chosen as representative examples to conduct a more fine-grained comparative analysis. Interestingly, our analysis did not reveal substantial crowding-out effects of the COVID-19 pandemic on medical research resources for other diseases. Specifically, the impact of COVID-19 on the quantity of trials for non-COVID-19 diseases varied significantly across nations, in which China displays a pattern that is considerably different from the other three nations. Further, even though the intensified attention on COVID-19 research has been observed, the progression and completion of other diseases' trials has not been significantly impacted by the pandemic. The examination of MRCT also shows that throughout the pandemic, clinical science collaboration among countries has also been intensified.

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Keywords

Clinical trials, COVID-19, Medical Research Resources, Crowding-out effect

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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