Evidence map›Paper›PMID 32231447›Full record

ArticleTurk pediatri arsivi2020

Evaluation of potential drug-drug interactions in a pediatric population.

Berna Terzioğlu Bebitoğlu, Elif Oğuz, Çağatay Nuhoğlu, Ayşe Ela Kurtdan Dalkılıç, Pelin Çirtlik, Fatime Temel, Ajla Hodzic

Open access · greenAbstract read
In one paragraph

Article in Turk pediatri arsivi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors at 1 institution in 1 country.

Berna Terzioğlu BebitoğluDepartment of Medical Pharmacology, İstanbul Medeniyet University Faculty of Medicine, İstanbul, Turkey.
Elif OğuzDepartment of Medical Pharmacology, İstanbul Medeniyet University Faculty of Medicine, İstanbul, Turkey.
Çağatay NuhoğluDepartment of Child Health and Diseases, Health Sciences University, Haydarpaşa Numune Health Practice and Research Center, Faculty of Medicine, İstanbul, Turkey.
Ayşe Ela Kurtdan DalkılıçDepartment of Child Health and Diseases, Health Sciences University, Haydarpaşa Numune Health Practice and Research Center, Faculty of Medicine, İstanbul, Turkey.
Pelin ÇirtlikDepartment of Child Health and Diseases, Health Sciences University, Haydarpaşa Numune Health Practice and Research Center, Faculty of Medicine, İstanbul, Turkey.
Fatime TemelDepartment of Medical Pharmacology, İstanbul Medeniyet University Faculty of Medicine, İstanbul, Turkey.
Ajla HodzicDepartment of Medical Pharmacology, İstanbul Medeniyet University Faculty of Medicine, İstanbul, Turkey.
Istanbul Medeniyet University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimA large number of medications are prescribed in pediatric clinics and this leads to the development of drug-drug interactions (DDI) that may complicate the course of the disease. The aim of the study was to identify the prevalence of potential drug-drug interactions, to categorize main drug classes involved in severe drug-drug interactions and to highlight clinically relevant DDIs in a pediatric population. MATERIAL AND

methodsA total of 1500 prescriptions during the 12-month study period were retrospectively reviewed; 510 prescriptions that comprised two or more drugs were included in study. The presence of potential drug-drug interactions was identified by using the Lexi-Interact database and categorized according to severity A (unknown), B (minor), C (moderate), D (major), and X (contraindicated).

resultsThere were 1498 drugs in 510 prescriptions; 253 of these (49.6%) included 2 drugs, 228 (44.7%) included 3-4 drugs, and 29 (5.6%) included ≥5 drugs. A total of 634 (42%) potential drug-drug interactions were idenfied. Among those, 271 (42.7%) were categorized as A, 284 (44.8%) as B, 53 (8.4%) as C, and 26 (4.1%) as D. There was no potential risk for X interaction. Anti-infectives (36%) were the most commonly prescribed drug classes involved in C and/or D categories. Clarithromycin was the most commonly interacting agent that interfered with budesonide.

conclusionIt is noteworthy that a significant number of drugs causing potential drug-drug interactions are prescribed together in pediatric clinics. Increasing the awareness of physicians on this issue will prevent potential complications and ensure patient safety.

Indexed as

Drug-drug interactionspediatricpharmacologyprescriptions

Identifiers

PMID32231447
PMCPMC7096558
OpenAlexW2981881375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.