Evidence map›Paper›PMID 30314487›Full record

ArticleBMC health services research2018

Potential drug-drug interactions in outpatient department of a tertiary care hospital in Pakistan: a cross-sectional study.

Mohammad Ismail, Sidra Noor, Umme Harram, Inamul Haq, Iqbal Haider, Faiza Khadim, Qasim Khan, Zahid Ali, Tahir Muhammad, Muhammad Asif

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  13. Potential drug-drug interactions in outpatients with depression of a psychiatry department.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
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  15. Observational
  16. Observational
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  19. 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
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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

10 authors at 4 institutions in 1 country.

Mohammad IsmailDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan. ismailrph@uop.edu.pk.ORCID http://orcid.org/0000-0001-7227-3399
Sidra NoorDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Umme HarramDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Inamul HaqDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Iqbal HaiderDepartment of Medicine, Medical Teaching Institute, Khyber Teaching Hospital, Peshawar, Pakistan.
Faiza KhadimDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Qasim KhanDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Zahid AliDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Tahir MuhammadDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Muhammad AsifDepartment of Pharmacy, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
University of Peshawar · PKCOMSATS University Islamabad · PKKhyber Teaching Hospital · PKThe University of Agriculture, Peshawar · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotential drug-drug interactions (pDDIs) are one of the preventable drug related problems having the risk of serious adverse events or therapeutic failure. In developing countries like Pakistan, this issue remains poorly addressed. The objective of this study was to explore prevalence of pDDIs in the Outpatient Department (OPD) of a tertiary care hospital in Pakistan. The secondary aim was to describe the levels of reported pDDIs and develop a list of widespread clinically relevant interactions.

methodsPrescriptions of 2400 OPD patients were analyzed for pDDIs through Micromedex Drug-Reax®. Prevalence, severity- and documentation-levels and widespread clinically relevant interactions were reported.

resultsOf total 2400 prescriptions, pDDIs were present in 22.3%. Whereas, moderate- and major-pDDIs were found in 377 (15.7%) and 225 (9.4%), respectively. PDDIs were more prevalent in Medicine (9.2%) and Cardiology (2.6%) as compared with other OPD specialties. Total 942 pDDIs were identified, of which, the majority were either moderate- (61.9%) or major-pDDIs (32.1%). Some of the most common interactions were ibuprofen + levofloxacin (n = 50), ciprofloxacin + diclofenac (32), aspirin + atenolol (24), and diclofenac + levofloxacin (19). The potential adverse outcomes of widespread interactions were seizures, bleeding, QT-interval prolongation, arrhythmias, tendon rupture, hypoglycemia/hyperglycemia, serotonin syndrome, drug toxicity, and decreased therapeutic response.

conclusionsOPD patients were at risk to pDDIs, particularly to major- and moderate-pDDIs. Screening of prescriptions for pDDIs and monitoring of pharmacotherapy in terms of response and associated adverse drug events will contribute to patient safety.

Indexed as

Drug InteractionsAdolescentAdultAgedChildCross-Sectional StudiesDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMedical AuditMedication ErrorsMiddle AgedOutpatient Clinics, HospitalPakistanPatient SafetyDrug interactionDrug related problemOutpatientsPatient safetyPotential drug-drug interaction

Identifiers

PMID30314487
PMCPMC6186060
OpenAlexW2897042102

What OpenQuestion holds

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LicenceCC BY
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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.