Evidence map›Paper›PMID 29787332›Full record

ArticleJournal of oncology practice2018

Comparison of Nine Tools for Screening Drug-Drug Interactions of Oral Oncolytics.

Lauren A Marcath, Jingyue Xi, Emily K Hoylman, Kelley M Kidwell, Shawna L Kraft, Daniel L Hertz

Abstract read
In one paragraph

Article in Journal of oncology practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Drug interactions in a sample of inpatients diagnosed with cannabis use disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2025
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  14. Tertiary drug information sources for treatment and prevention of COVID-19.Journal of the Medical Library Association : JMLA · 2023
    Article
  15. Article
  16. Managing Drug Interactions With Oral Anticancer Treatments.Journal of the advanced practitioner in oncology · 2023
    Article
  17. Article
  18. Article
  19. Potential drug-drug interactions in outpatients with depression of a psychiatry department.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  20. Potential interactions between antineoplastic agents and medicines used to treat Covid-19.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2022
    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

6 authors.

Lauren A MarcathUniversity of Michigan, Ann Arbor, MI.
Jingyue XiUniversity of Michigan, Ann Arbor, MI.
Emily K HoylmanUniversity of Michigan, Ann Arbor, MI.
Kelley M KidwellUniversity of Michigan, Ann Arbor, MI.
Shawna L KraftUniversity of Michigan, Ann Arbor, MI.
Daniel L HertzUniversity of Michigan, Ann Arbor, MI.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

purposePatients with cancer are an especially vulnerable population to potential drug-drug interactions (DDIs). This makes it important to adequately screen them for DDIs. The objective of this study was to compare the abilities of nine DDI screening tools to detect clinically relevant interactions with oral oncolytics.

methodsSubscription-based tools (ie, PEPID, Micromedex, Lexicomp, Facts & Comparisons) and free tools (ie, Epocrates Free, Medscape, Drugs.com, RxList, WebMD) were compared for their abilities to detect clinically relevant DDIs for 145 drug pairs including an oral oncology agent. Clinical relevance was determined by a pharmacist using Stockley's Drug Interactions. Descriptive statistics were calculated for each tool, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and then compared grouped by free or subscription-based tools for the secondary analysis and analyzed via generalized estimating equations.

resultsFor individual metrics, PPV had overall higher values (0.88 to 0.97) relative to the low values included for sensitivity (0.65 to 0.96), specificity (0.53 to 0.93) and NPV (0.38 to 0.83). The top-performing subscription and free tools, Lexicomp and Drugs.com, had no statistically significant differences in performance. Overall, subscription tools had a significantly higher sensitivity (0.85 ± 0.017 v 0.78 ± 0.017; P = .0082) and NPV (0.57 ± 0.039 v 0.48 ± 0.032; P = .031) than free tools. No differences were observed between the specificity and PPV.

conclusionDue to the low performance of some tools for sensitivity, specificity, and NPV, individual performance should be examined and prioritized on the basis of the intended use when selecting a DDI tool. If a strong-performing subscription-based tool is unavailable, a strong-performing free option, like Drugs.com, is available.

Indexed as

Drug Information ServicesDrug InteractionsAdministration, OralAntineoplastic AgentsHumansMedical InformaticsReproducibility of ResultsSensitivity and SpecificityAntineoplastic Agents

Identifiers

PMID29787332
PMCPMC9797246

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.