Evidence map›Paper›PMID 33786990›Full record

Observational studyClinical and translational science2021

Adverse drug event risk assessment by the virtual addition of COVID-19 repurposed drugs to Medicare and commercially insured patients' drug regimens: A drug safety simulation study.

Matt K Smith, Ravil Bikmetov, Sweilem B Al Rihani, Malavika Deodhar, Matthew Hafermann, Pamela Dow, Jacques Turgeon, Veronique Michaud

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Matt K SmithPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Ravil BikmetovPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Sweilem B Al RihaniPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Malavika DeodharPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Matthew HafermannCambia Health Solutions - Case Management at Regence BlueShield, Tacoma, Washington, USA.
Pamela DowPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Jacques TurgeonPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Veronique MichaudPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida, USA.
Research & Development Institute · USPrecision Research (United States) · USCambia Health Solutions (United States) · US

Funding

Tabula Rasa HealthCare
6 · The paper itself

Abstract

Drug safety is generally established from clinical trials, by pharmacovigilance programs and during observational phase IV safety studies according to drug intended or approved indications. The objective of this study was to estimate the risk of potential adverse drug events (ADEs) associated with drugs repurposed for coronavirus disease 2019 (COVID-19) treatment in a large-scale population. Drug claims were used to calculate a baseline medication risk score (MRS) indicative of ADE risk level. Fictitious claims of repurposed drugs were added, one at a time, to patients' drug regimens to calculate a new MRS and compute a level of risk. Drug claims data from enrollees with Regence health insurance were used and sub-payer analyses were performed with Medicare and commercial insured groups. Simulated interventions were conducted with hydroxychloroquine and chloroquine, alone or combined with azithromycin, and lopinavir/ritonavir, along with terfenadine and fexofenadine as positive and negative controls for drug-induced Long QT Syndrome (LQTS). There were 527,471 subjects (56.6% women; mean [SD] age, 47 years [21]) were studied. The simulated addition of each repurposed drug caused an increased risk of ADEs (median MRS increased by two-to-seven points, p < 0.001). The increase in ADE risk was mainly driven by an increase in CYP450 drug interaction risk score and by drug-induced LQTS risk score. The Medicare group presented a greater risk overall compared to the commercial group. All repurposed drugs were associated with an increased risk of ADEs. Our simulation strategy could be used as a blueprint to preemptively assess safety associated with future repurposed or new drugs.

Indexed as

COVID-19 Drug TreatmentDrug RepositioningAdministrative Claims, HealthcareAdolescentAdultAgedAged, 80 and overAntiviral AgentsChildChild, PreschoolComputer SimulationCOVID-19Cytochrome P-450 Enzyme SystemDrug InteractionsFemaleHumansAntiviral AgentsCytochrome P-450 Enzyme System

Identifiers

PMID33786990
PMCPMC8251090
OpenAlexW3143119123

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.