Evidence map›Paper›PMID 32927931›Full record

ArticleTurkish journal of medical sciences2021

Pattern of systemic antibiotic use and potential drug interactions: Evaluations through a point prevalence study in Ankara University Hospitals.

İrem Akdemir Kalkan, Güle Çınar, Aysel Pehlivanlı, Fatih Ürkmez, İzel Ezgi Topaloğlu, Büşra Akyol, Arzu Onay Beşikçi, Alpay Azap, Kemal Osman Memikoğlu

Open access · bronzeAbstract read
In one paragraph

Article in Turkish journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Clinically important pharmacokinetic drug-drug interactions with antibacterial agents.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Review
  4. Article
  5. 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

9 authors at 2 institutions in 2 countries.

İrem Akdemir KalkanDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, TurkeyORCID 0000-0001-5136-9148
Güle ÇınarDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, TurkeyORCID 0000-0002-7635-8848
Aysel PehlivanlıDepartment of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, TurkeyORCID 0000-0003-3276-0162
Fatih ÜrkmezDepartment of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, TurkeyORCID 0000-0002-0422-7320
İzel Ezgi TopaloğluDepartment of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, TurkeyORCID 0000-0002-3896-1726
Büşra AkyolDepartment of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, TurkeyORCID 0000-0002-9687-4559
Arzu Onay BeşikçiDepartment of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, TurkeyORCID 0000-0001-6883-1757
Alpay AzapDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, TurkeyORCID 0000-0001-5035-055X
Kemal Osman MemikoğluDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara, TurkeyORCID 0000-0001-7206-3252
Ankara University · TROffice of Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Most of the hospitalized patients are on a number of drugs for comorbidities and/or to prevent nosocomial infections. This necessitates a careful consideration of drug interactions not only to avoid possible toxicities but also to reach the highest efficiency with drug treatment. We aimed to investigate drug interactions related to systemic antibiotic use and compare three different databases to check for drug interactions while characterizing the main differences between medical and surgical departments. Materials and methods: This point prevalence study covered data on 927 orders for patients hospitalized between June 3 and 10, 2018 in Ankara University Hospitals. Systemic antibiotic use and related drug interactions were documented using UptoDate, Drugs, and Medscape and comparisons between the departments of medical and surgical sciences were made. Results: The number of orders, or the number of drugs or antibiotics per order were not different between the medical and surgical sciences departments. A total of 1335 antibiotic-related drug interactions of all levels were reported by one, two, or all three databases. UptoDate reported all common and major interactions. Pantoprazole was the most commonly prescribed drug and appeared in 63% of all orders. Among 75 different molecules, ceftriaxone and meropenem were the two most prescribed antibiotics by the surgical and medical departments, respectively. Conclusion: A dramatic variance existed amongst antibiotics prescribed by different departments. This indicated the requirement for a centralized role of an infectious diseases specialist. Especially for the hospitalized patient, prophylactic coverage with at least one antibiotic brought about a number of drug interactions. A precise evaluation of orders in terms of drug interactions by a clinical pharmacist (currently none on duty) will reduce possible drug-related hazards.

Indexed as

Drug InteractionsDrug PrescriptionsHospital DepartmentsHospitals, UniversityPractice Patterns, Physicians'AdolescentAdultAgedAnti-Bacterial AgentsCeftriaxoneChildComorbidityCross InfectionCross-Sectional StudiesDatabases, FactualHumansAnti-Bacterial AgentsCeftriaxoneMeropenemPantoprazolePharmaceutical PreparationsAntibacterial agentsdrug interactionspharmacist

Identifiers

PMID32927931
PMCPMC8203144
OpenAlexW3087495996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.