ArticleBritish journal of clinical pharmacology2026
The quantitative impact of metabolism-inhibiting drugs on the occurrence of adverse drug reactions-A backward selection approach.
Article in British journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- The quantitative impact of metabolism-inhibiting drugs on the occurrence of adverse drug reactions-A backward selection approach.British journal of clinical pharmacology · 2026Article
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9 authors.
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Abstract
aimThe quantitative effect of several inhibitory drugs on the development of adverse drug reactions (ADRs) is currently difficult to estimate. Our aim was to identify metabolic pathways, which, when inhibited, increase the risk for certain ADRs, and to use this system to consider comedication at individual level.
methodsData of a prospective multicentre cohort of ADRs on emergency department admissions were used (ADRED-study, trial registration: DRKS00008979). A score system to rate the burden of inhibition on pathways was implemented to calculate individual burdens per patient. These cumulative burden scores were used as predictors in binary logistic regressions to identify pathways, which were significantly positively correlated with the ADRs falls and haemorrhages, respectively.
resultsRegarding falls, CYP2D6, OCT2 and carboxylesterase 1 were identified as relevant metabolic pathways with cumulative inhibitory burden. Concerning haemorrhages, CYP2C19, CYP3A4, MRP4, OAT2, OATP1B1 and carboxylesterase 1 were determined. Within relevant pathways for the occurrence of falls, common fall-risk-increasing drugs (FRIDs) and associated drugs were found, as well as bleeding inducing drugs within relevant pathways for the occurrence of haemorrhages.
conclusionOur approach identifies plausible inhibited pathways, raising awareness that a high burden of pathway inhibition can contribute to the occurrence of ADRs. Further validation in a second dataset is necessary.
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