Evidence map›Paper›PMID 40119366›Full record

ArticleTrials2025

Audit experiences in investigational medicinal product management and errors in clinical trials.

Yunjeong Kim, Heeyoung Lee

Abstract read
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yunjeong KimCenter for Advanced Clinical Trial Education, Inje University, Gimhae, Gyeongnam, Republic of Korea.
Heeyoung LeeCenter for Advanced Clinical Trial Education, Inje University, Gimhae, Gyeongnam, Republic of Korea. phylee1@inje.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical audits are essential to ensure that clinical research processes align with regulatory standards and best practices. Despite this, there has been no error assessment of the relationship between the errors in investigational medicinal product (IMP) management and clinical trial workers with audit experience.

methodsThis study surveyed stakeholders with experience being audited to evaluate errors in IMP management and accountability during clinical trials through online survey system. The survey focused on errors in IMP export, dosing, storage, shipping, and labeling. Errors related to IMP management or accountability were evaluated with 22 specific criteria. Analysis included descriptive statistics and Pearson's correlation.

resultsA total of 41 participants experiencing audits in clinical trial were enrolled in the current survey. The survey results revealed that the most frequent errors occurred in missing essential documents for shipment during IMP shipping and errors in label information, each accounting for 24 cases (58%). Additionally, a significant correlation was found between participants' age, work experience, and audit experience (coefficient = 0.77, p value < 0.05).

conclusionA survey of individuals with auditing experience identified common errors in IMP management, particularly missing shipment documents and incorrect labeling. To address these issues, clinical trial systems should implement regular error monitoring, standardized procedures, and comprehensive staff training to ensure safer and more efficient trials.

Indexed as

Clinical AuditClinical Trials as TopicDrugs, InvestigationalMedical AuditResearch PersonnelAdultFemaleHumansMaleMiddle AgedSurveys and QuestionnairesDrugs, InvestigationalAuditClinical trialClinical trial stakeholdersInvestigational medicinal productSurvey

Identifiers

PMID40119366
PMCPMC11927233

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.