Evidence map›Paper›PMID 27499793›Full record

ArticleResearch in pharmaceutical sciences

Incidence rate and pattern of clinically relevant potential drug-drug interactions in a large outpatient population of a developing country.

Ehsan Nabovati, Hasan Vakili-Arki, Zhila Taherzadeh, Mohammad Reza Saberi, Ameen Abu-Hanna, Saeid Eslami

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In one paragraph

Article in Research in pharmaceutical sciences. 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
0.8field-weighted citation impact, top 26% 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, 9 citations in OpenAlex.

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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 2 institutions in 2 countries.

Ehsan NabovatiStudent Research Committee, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, I.R. Iran.
Hasan Vakili-ArkiStudent Research Committee, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, I.R. Iran.
Zhila TaherzadehTargeted Drug Delivery Research Center and Neurogenic Inflammation Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, I.R. Iran.
Mohammad Reza SaberiMedical Chemistry Department, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, I.R. Iran.
Ameen Abu-HannaDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Saeid EslamiPharmaceutical Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, I.R. Iran.
Academic Medical Center · NLMashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine incidence rate, type, and pattern of clinically relevant potential drug-drug interactions (pDDIs) in a large outpatient population of a developing country. A retrospective, descriptive cross-sectional study was conducted on outpatients' prescriptions in Khorasan Razavi province, Iran, over 12 months. A list of 25 clinically relevant DDIs, which are likely to occur in the outpatient setting, was used as the reference. Most frequent clinically relevant pDDIs, most common drugs contributing to the pDDIs, and the pattern of pDDIs for each medical specialty were determined. Descriptive statistics were used to report the results. In total, out of 8,169,142 prescriptions, 6,096 clinically relevant pDDIs were identified. The most common identified pDDIs were theophyllines-quinolones, warfarin-nonsteroidal anti-inflammatory drugs, benzodiazepines-azole antifungal agents, and anticoagulants-thyroid hormones. The most common drugs contributing to the identified pDDIs were ciprofloxacin, theophylline, warfarin, aminophylline, alprazolam, levothyroxine, and selegiline. While the incidence rate of clinically relevant pDDIs in prescriptions of general practitioners, internists, and cardiologists was the highest, the average pDDI incidence per 10,000 prescriptions of pulmonologists, infectious disease specialists, and cardiologists was highest. Although a small proportion of the analyzed prescriptions contained drug pairs with potential for clinically relevant DDIs, a significant number of outpatients have been exposed to the adverse effects associated with these interactions. It is recommended that in addition to training physicians and pharmacists, other effective interventions such as computerized alerting systems and electronic prescribing systems be designed and implemented.

Indexed as

Developing countriesDrug-drug interactionsDrug utilization reviewPatient safety

Identifiers

PMID27499793
PMCPMC4962304
OpenAlexW2388432691

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.