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Cited by 227

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Drug safety assessment in clinical trials: methodological challenges and opportunities

Open access
Singh, Sonal, Loke, Yoon K·2012·Trials

Abstract

Randomized controlled trials are the principal means of establishing the efficacy of drugs. However pre-marketing trials are limited in size and duration and exclude high-risk populations. They have limited statistical power to detect rare but potentially serious adverse events in real-world patients. We summarize the principal methodological challenges in the reporting, analysis and interpretation of safety data in clinical trials using recent examples from systematic reviews. These challenges include the lack of an evidentiary gold standard, the limited statistical power of randomized controlled trials and resulting type 2 error, the lack of adequate ascertainment of adverse events and limited generalizability of trials that exclude high risk patients. We discuss potential solutions to these challenges. Evaluation of drug safety requires careful examination of data from heterogeneous sources. Meta-analyses of drug safety should include appropriate statistical methods and assess the optimal information size to avoid type 2 errors. They should evaluate outcome reporting biases and missing data to ensure reliable and accurate interpretation of findings. Regulatory and academic partnerships should be fostered to provide an independent and transparent evaluation of drug safety.

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Metadata

Authors
Singh, S., & Loke, Y. K.
Venue
Trials
Published
2012-08-20
Volume
13
Issue
1
Pages
138-138
ISSN
1745-6215 (ISSN-L)
OpenAlex
W2137053633
Cited by
227
References
11
FWCI
7.49
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Drug safety assessment in clinical trials: methodological challenges and opportunities. https://app.cochat.ai/papers/10.1186/1745-6215-13-138
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Singh, S., & Loke, Y. K. (2012). Drug safety assessment in clinical trials: methodological challenges and opportunities. Trials. https://doi.org/10.1186/1745-6215-13-138

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.