Evidence map›Paper›PMID 36059105›Full record

ArticleJournal of clinical pharmacy and therapeutics2022

Antiretroviral drug-drug interactions: A comparison of online drug interaction databases.

Emily N Drwiega, Melissa E Badowski, Sarah Michienzi

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical pharmacy and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Tertiary drug information sources for treatment and prevention of COVID-19.Journal of the Medical Library Association : JMLA · 2023
    Article
  9. Review
  10. Review
  11. 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

3 authors at 1 institution in 1 country.

Emily N DrwiegaCollege of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-4039-867X
Melissa E BadowskiCollege of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, USA.
Sarah MichienziCollege of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, USA.
University of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHAT IS KNOWN AND

objectiveAntiretrovirals have a high drug interaction potential, which can lead to increased toxicity and/or decreased efficacy. Multiple databases are available to assess drug-drug interactions. The aim of our study was to compare interaction identification for commonly used ARVs and concomitant medications between six different online drug-drug interaction databases. COMMENT: This was a cross-sectional review using each of the following six databases: LexiComp®, Clinical Pharmacology®, Micromedex®, Epocrates®, University of Liverpool, and University of Toronto. Sixteen antiretroviral drugs and 100 of the DrugStats Database "Top 200 of 2019" list of medications were included. Each of the six databases identified a different number of actual or potential interactions. The number of interactions ranged from 211 to 283. WHAT IS NEW AND

conclusionsA variety of databases exist with inconsistent identification of actual or potential drug-drug interactions amongst them. It may be beneficial to cross-reference multiple databases prior to making decisions regarding patient care.

Indexed as

Anti-Retroviral AgentsHIV InfectionsCross-Sectional StudiesDatabases, FactualDrug InteractionsHumansAnti-Retroviral Agentsantiretroviral therapydrug-drug interaction

Identifiers

PMID36059105
PMCPMC9826109
OpenAlexW4294626474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.