Background: Basic science has delivered unprecedented insights into intricate relationships on the smallest scales within well-controlled environments. Addressing pressing societal decision problems requires an understanding of systems on larger scales in real-world situations.Objective: To assess how well the evidence assessors E-Synthesis and EBM+ assess basic science findings to support medical decision making.Methods: We demonstrate the workings of E-Synthesis and EBM+ on a case study: the suspected causal connection between the widely-used drug amoxicillin (AMX) and the putative adverse drug reaction: Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS).Results: We determine an increase in the probability that AMX can cause DRESS within the E-Synthesis approach and using the EBM+ standards assess the basic science findings as supporting the existence of a mechanism linking AMX and DRESS.Conclusions: While progress is made towards developing methodologies which allow the incorporation of basic science research in the decision making process for pressing societal questions, there is still considerable need for further developments. A continued dialogue between basic science researchers and methodologists, philosophers and statisticians seems to offer the best prospects for developing and evaluating continuously evolving methodologies.

Reviewing the Mechanistic Evidence Assessors E-Synthesis and EBM+: A Case Study of Amoxicillin and Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) / A.Y. Abdin, D. Auker-Howlett, J. Landes, G. Mulla, C. Jacob, B. Osimani. - In: CURRENT PHARMACEUTICAL DESIGN. - ISSN 1381-6128. - 25:16(2019), pp. 1866-1880. [10.2174/1381612825666190628160603]

Reviewing the Mechanistic Evidence Assessors E-Synthesis and EBM+: A Case Study of Amoxicillin and Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS)

J. Landes;
2019

Abstract

Background: Basic science has delivered unprecedented insights into intricate relationships on the smallest scales within well-controlled environments. Addressing pressing societal decision problems requires an understanding of systems on larger scales in real-world situations.Objective: To assess how well the evidence assessors E-Synthesis and EBM+ assess basic science findings to support medical decision making.Methods: We demonstrate the workings of E-Synthesis and EBM+ on a case study: the suspected causal connection between the widely-used drug amoxicillin (AMX) and the putative adverse drug reaction: Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS).Results: We determine an increase in the probability that AMX can cause DRESS within the E-Synthesis approach and using the EBM+ standards assess the basic science findings as supporting the existence of a mechanism linking AMX and DRESS.Conclusions: While progress is made towards developing methodologies which allow the incorporation of basic science research in the decision making process for pressing societal questions, there is still considerable need for further developments. A continued dialogue between basic science researchers and methodologists, philosophers and statisticians seems to offer the best prospects for developing and evaluating continuously evolving methodologies.
DRESS; E-synthesis; EBM+; Evidence aggregation; adverse drug reactions; amoxicillin; bradford hill guidelines; causal inference; drug monitoring; drug safety; pharmacosurveillance; pharmacovigilance
Settore M-FIL/02 - Logica e Filosofia della Scienza
Article (author)
File in questo prodotto:
File Dimensione Formato  
0007B.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 1.88 MB
Formato Adobe PDF
1.88 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/948193
Citazioni
  • ???jsp.display-item.citation.pmc??? 4
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 9
social impact