Evidence map›Paper›PMID 38510454›Full record

ArticleFrontiers in medicine2024

Exploring the divergence in perspectives on clinical trial operations in South Korea during the COVID-19 pandemic: a comparison of a trial site and sponsors.

Young-Sang Kim, Anhye Kim, Yil-Seob Lee

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. 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

3 authors.

Young-Sang KimCHA Global Clinical Trials Center, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Anhye KimCHA Global Clinical Trials Center, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Yil-Seob LeeCHA Global Clinical Trials Center, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the COVID-19 pandemic, novel clinical trial methods known as decentralized clinical trials (DCTs) were rapidly introduced. The attitude toward operating clinical trials and perspectives on DCTs may differ between clinical trial sites and sponsors. The impact of the COVID-19 pandemic on clinical trials was investigated for a society of sponsors and a trial site in South Korea. Methods: The current difficulties and future perspectives on clinical trials were assessed and compared between the site and sponsors. Results: Both the site and sponsors reported on their experiences with the challenges of conducting clinical trials during the pandemic era. While 64% of personnel from the site judged that the difficulties were solved by their own solutions, 67.6% of personnel from sponsors considered cooperation with trial sites as a key solution to overcome the difficulties. While half of the personnel from the site were skeptical of the changes in trial operation methods, the sponsors expected the institutionalization of DCT elements. Conclusion: In conclusion, with varying attitudes, sponsors and sites attempted to overcome the challenges of conducting clinical trials during the pandemic era. To conduct clinical trials effectively, both sponsors and sites must work closely together to find solutions with efficient communication. For the successful implementation of new tools such as DCTs, the government needs to solicit support from sponsors and sites and change regulations.

Indexed as

clinical trial methodsCOVID-19 pandemicdecentralized clinical trialssponsorstrial site

Identifiers

PMID38510454
PMCPMC10950924

What OpenQuestion holds

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LicenceCC BY
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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.