ReviewCureus2024
The Role of Quality Assurance in Clinical Trials: Safeguarding Data Integrity and Compliance.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Approach to Quality Control Used for the HOPE Consortium Trial to Reduce Pain and Opioid Use in Hemodialysis.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Artificial intelligence (AI)-aided clinical data management: Applications, human-in-the-loop workflows, and regulatory considerations.Global health & medicine · 2026Review
- Managing the transition: switching bioanalytical laboratories during a clinical trial - a sponsor's perspective.Bioanalysis · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical trials, which investigate the effects of drugs in humans, aim to determine safety and efficacy while identifying adverse reactions. Data consistency and subject safety are crucial factors that determine the quality of clinical trials, necessitating overall quality management. There is a growing emphasis on implementing quality systems during the planning stages of clinical trials. Regulatory frameworks have evolved to ensure patient protection and data reliability, underscoring the need for systematic quality management in health research. A clinical trial quality management plan (CTQMP) is essential to describe the tools and methods used to ensure study quality. Globalization has led to an increase in conducting clinical trials in developing nations, presenting challenges due to procedural and ethical disparities. To manage these complexities, outsourcing trial management has become common. Adherence to good clinical practice (GCP) principles, as defined by the International Conference on Harmonization (ICH), is critical for safeguarding participant rights and ensuring credible data. Quality by design (QbD) and quality risk management are now central to clinical trial management, as advocated by the FDA. Technological advancements and robust protocols further enhance trial processes. Effective QA activities, including monitoring and data management, are vital for maintaining compliance, participant safety, and data integrity, highlighting the indispensable role of QA in clinical trial success.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.