2019
DOI: 10.1177/0018578719882323
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Existence of Notoriety Bias in FDA Adverse Event Reporting System Database and Its Impact on Signal Strength

Abstract: Background: Notoriety bias is defined as “a selection bias in which a case has a greater chance of being reported if the subject is exposed to the studied factor known to cause, thought to cause, or likely to cause the event of interest.” This study aimed to determine the existence of notoriety bias in the FDA Adverse Event Reporting System (FAERS) database and estimate the impact of potential notoriety bias induced by safety alerts on signal estimation using disproportionality analysis. Methods: Publicly avai… Show more

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Cited by 39 publications
(24 citation statements)
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“…Therefore, information provided by pharmacovigilance databases only represents a small sample of what occurs in a whole population. Since the approval of all the GLP‐1 receptor agonists there is a boxed warning of ‘risk of thyroid C‐cell tumours’ in their labels, this may have resulted in over‐reporting of thyroid cancer events also known as notoriety bias 35 …”
Section: Discussionmentioning
confidence: 99%
“…Therefore, information provided by pharmacovigilance databases only represents a small sample of what occurs in a whole population. Since the approval of all the GLP‐1 receptor agonists there is a boxed warning of ‘risk of thyroid C‐cell tumours’ in their labels, this may have resulted in over‐reporting of thyroid cancer events also known as notoriety bias 35 …”
Section: Discussionmentioning
confidence: 99%
“…It is a common issue that happens in lots of drugs. A study conducted by Neha et al confirms that notoriety bias does not lead to overreporting in the FAERS database, and the overall disproportionality in signal estimates is not changed by the safety alert [10].…”
mentioning
confidence: 90%
“…There are a large number of clinical trials, case reports, and other studies aimed at exploring the potential association between FG and SGLT2 inhibitors. Yet the overall number, follow-up, and size of trials are too low to draw liable conclusions, and patients enrolled in clinical trials cannot fully represent those who can receive a drug prescription in clinical practice, though the randomization procedure minimizes the possibility of bias [ 8 10 ]. While case reports are lack of ability to generalize.…”
Section: Introductionmentioning
confidence: 99%
“…These may act as contributory factors to the development of HBVr, TB, and AMI ( Wang et al, 2020 ). Fourth, the Weber effect and notoriety bias cannot be ruled out in the current study, although studies showed that they are not common in FASRS ( Hoffman et al, 2014 ; Neha et al, 2021 ).…”
Section: Discussionmentioning
confidence: 82%