Evidence map›Paper›PMID 32996393›Full record

ArticleJournal of managed care & specialty pharmacy2020

Assessment of Clinically Relevant Drug Interactions by Online Programs in Renal Transplant Recipients.

Kamer Tecen-Yucel, Aygin Bayraktar-Ekincioglu, Tolga Yildirim, Seref Rahmi Yilmaz, Kutay Demirkan, Yunus Erdem

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Assessment of potential drug interactions in rheumatology: a comparative study of decision support software.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
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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 at 1 institution in 1 country.

Kamer Tecen-YucelDepartment of Clinical Pharmacy, Hacettepe University Faculty of Pharmacy, Ankara, Turkey.
Aygin Bayraktar-EkinciogluDepartment of Clinical Pharmacy, Hacettepe University Faculty of Pharmacy, Ankara, Turkey.
Tolga YildirimDepartment of Nephrology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Seref Rahmi YilmazDepartment of Nephrology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Kutay DemirkanDepartment of Clinical Pharmacy, Hacettepe University Faculty of Pharmacy, Ankara, Turkey.
Yunus ErdemDepartment of Nephrology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotential drug-drug interactions (pDDIs) with immunosuppressive drugs are frequently observed in renal transplant recipients. Drug interaction programs are acknowledged as a fundamental tool to alert physicians to pDDIs, but there is a high concern about variation among different programs in terms of quality and reliability of information.

objectivesTo (a) characterize the difference in severity levels of pDDIs with tacrolimus and cyclosporine provided by 3 drug interaction programs and (b) identify clinically relevant DDIs with these immunosuppressive drugs in renal transplant recipients.

methodsThis study was conducted in a nephrology outpatient clinic at the University Research & Training Hospital between November 2017 and February 2018. A clinical pharmacist attended clinic visits with physicians and evaluated drug interactions. Micromedex, Medscape, and Lexicomp drug interaction programs were used to identify pDDIs and their severities. Furthermore, Drug Interaction Probability Scale (DIPS) criteria were applied to identify clinically relevant drug interactions seen in clinic patients. Finally, a clinical pharmacist intervened to manage clinically relevant drug interactions identified by DIPS.

results80 patients (54 under tacrolimus; 26 under cyclosporine treatment) were included in this study. The 3 drug interaction programs generated 648 pDDIs, 63 of which were different drug interaction pairs. Ninety-eight pDDIs were common to all 3 drug interaction programs. Sixty-three different drug interaction pairs were evaluated according to severity level, and 3 drug interaction pairs were at the same level (moderate) among the programs. The Fleiss' kappa overall interrater agreement was poor. The kappa revealed a moderate agreement for interaction pairs with a "severe" rating and a slight agreement for interaction pairs with a "major" rating. According to the DIPS evaluation, 11 pDDIs were classified as "possible," and the percentage of clinically relevant drug-drug interactions was 4.0% (10/248), 4.2% (11/265), and 8.2% (11/135) for Medscape, Lexicomp, and Micromedex, respectively. Although daily doses of immunosuppressive drugs were not changed, the blood concentrations of these drugs increased after administration of an interacting drug. As a result, in order to maintain normal therapeutic range of concentrations, dose reduction or drug change was applied where appropriate.

conclusionsInteraction checker programs are commonly used by health institutions, since they provide quick and summarized information on mechanism and management of drug interactions, when no clinical pharmacist is present to interpret. However, the likelihood of detecting clinically relevant DDIs by interaction checker programs is relatively low, and there are inconsistencies among different programs. Individualized patient monitoring should be maintained by a multidisciplinary health care team that includes a clinical pharmacist, and decision making should be based on professional assessment of the renal transplant patient. DISCLOSURES: No outside funding supported this study. The authors have no conflicts of interest to disclose.

Indexed as

Clinical Pharmacy Information SystemsAdultCyclosporineDrug Information ServicesDrug InteractionsFemaleHumansImmunosuppressive AgentsKidney TransplantationMaleOnline SystemsOutpatientsPharmacistsReproducibility of ResultsTacrolimusCyclosporineImmunosuppressive AgentsTacrolimus

Identifiers

PMID32996393
PMCPMC10390948
OpenAlexW3090408030

What OpenQuestion holds

Textmetadata
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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.