2022
DOI: 10.3390/healthcare10030420
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A Standardized Dataset of a Spontaneous Adverse Event Reporting System

Abstract: One of the largest spontaneous adverse events reporting databases in the world is the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). Unfortunately, researchers face many obstacles in analyzing data from the FAERS database. One of the major obstacles is the unstructured entry of drug names into the FAERS, as reporters might use generic names or trade names with different naming structures from all over the world and, in some cases, with typographical errors. Moreover, report duplicat… Show more

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Cited by 32 publications
(25 citation statements)
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References 26 publications
(32 reference statements)
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“…The co-reported toxicities’ landscape among sepsis-related toxicities shows that sepsis, septic shock, and multiple organ dysfunction syndrome not only overlap with each other but also with other serious toxicities such as veno-occlusive liver disease ( Figure 2 ). To evaluate the onset of ADC-induced sepsis, we conducted time-to-onset analysis using a curated FAERS dataset ( Khaleel et al, 2022 ). The β-coefficient and its 95% CI for sepsis, septic shock, and bacteremia were less than one, suggesting that the onset time of ADC-induced sepsis is the early failure type, and approximately 60% of sepsis, septic shock, and bacteremia due to ADC therapies developed within 26.6–32.3 days.…”
Section: Resultsmentioning
confidence: 99%
“…The co-reported toxicities’ landscape among sepsis-related toxicities shows that sepsis, septic shock, and multiple organ dysfunction syndrome not only overlap with each other but also with other serious toxicities such as veno-occlusive liver disease ( Figure 2 ). To evaluate the onset of ADC-induced sepsis, we conducted time-to-onset analysis using a curated FAERS dataset ( Khaleel et al, 2022 ). The β-coefficient and its 95% CI for sepsis, septic shock, and bacteremia were less than one, suggesting that the onset time of ADC-induced sepsis is the early failure type, and approximately 60% of sepsis, septic shock, and bacteremia due to ADC therapies developed within 26.6–32.3 days.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, we calculated the information component (IC) along with the lower limit of 95% confidence intervals (IC 025 ) using the Bayesian confidence propagation network (BCPNN) algorithm. This protects from over-sensitivity to extremely low expected cases and low observed cases ( 20 , 22 ). An IC 025 of >0 is defined as a signal ( 20 ).…”
Section: Methodsmentioning
confidence: 99%
“…There are two fields in the DRUG files that relate to drug names, including the "drugname" and the "prod_ai." Given that FAERS is a spontaneous reporting system (SRS), drug names may be documented as generic names, chemical structure names, trade names, synonyms, code names, abbreviations, and even incorrect names (13). Therefore, before data mining, all drug name records were standardized in the DEMO files as generic names.…”
Section: Discrimination Of Objective Drugs and Aementioning
confidence: 99%