Evidence map›Paper›PMID 25031499›Full record

ArticleJournal of basic and clinical pharmacy2014

A study of potential adverse drug-drug interactions among prescribed drugs in medicine outpatient department of a tertiary care teaching hospital.

Pankti S Patel, Devang A Rana, Jalpa V Suthar, Supriya D Malhotra, Varsha J Patel

Abstract read
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Article in Journal of basic and clinical pharmacy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

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0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

35 citing papers in PubMed.

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  19. A computational approach to predict multi-pathway drug-drug interactions: A case study of irinotecan, a colon cancer medication.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    Article
  20. The prevalence and severity of potential drug-drug interactions among adult polypharmacy patients at outpatient clinics in Jordan.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Pankti S PatelDepartment of Pharmacology, Charotar University of Science and Technology, Changa, Gujarat, India.
Devang A RanaDepartment of Pharmacology, Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India.
Jalpa V SutharDepartment of Pharmacology, Ramanbhai Patel College of Pharmacy, Changa, Gujarat, India.
Supriya D MalhotraDepartment of Pharmacology, Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India.
Varsha J PatelDepartment of Pharmacology, Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate prevalence, types, and severity of potential adverse drug-drug interaction in medicine out-patient department. MATERIALS AND

methodsA single-point, prospective, and observational study was carried out in medicine OPD. Study began after obtaining approval Institutional Ethics Committee. Data were collected and potential drug-drug interactions (pDDIs) were identified using medscape drug interaction checker and were analyzed.

resultA total of 350 prescriptions with mean age 52.45 ± 14.49 years were collected over a period of 5 months. A total of 2066 pDDIs were recorded with mean of 5.90 ± 6.0. The prevalence of pDDI was 83.42%. Aspirin was most frequently prescribed drug in 185 (10.15%) out of total of 1821 drugs It was also the most frequent drug implicated in pDDI i.e. in 48.16%. The most common pDDI identified was metoprolol with aspirin in 126 (6.09%). Mechanism of interactions was pharmacokinetic in 553 (26.76%), pharmacodynamic in 1424 (68.92%) and 89 (4.30%) having an unknown mechanism. Out of all interactions, 76 (3.67%) were serious, 1516 (73.37%) significant, and 474 (22.94%) were minor interaction. Age of the patients (r = 0.327, P = 0.0001) and number of drugs prescribed (r = 0.714, P = 0.0001) are significantly correlated with drug interactions.

conclusionAspirin being the most common drug interacting. The use of electronic decision support tools, continuing education and vigilance on the part of prescribers toward drug selection may decrease the problem of pDDIs.

Indexed as

Drug-drug interactionmedicineoutdoor patientspotential drug-drug interactions

Identifiers

PMID25031499
PMCPMC4074695

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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.