Evidence map›Paper›PMID 26393139›Full record

ArticleJournal of clinical and diagnostic research : JCDR2015

Evaluation of Potential Drug-Drug Interactions with Antidepressants in Two Tertiary Care Hospitals.

Muhammad Salman Rafi, Syed Baqir Shyum Naqvi, Muhammad Umair Khan, Muhammad Fayyaz, Nida Ashraf, Maqsood Ahmed Khan, Akram Ahmad, Sameer Dhingra

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

Muhammad Salman RafiPharmacist, Department of Pharmacy Services, King Faisal Specialist Hospital and Research Center , Jeddah, Saudi Arabia .
Syed Baqir Shyum NaqviProfessor, Department of Pharmaceutics, Faculty of Pharmacy, Hamdard University , Karachi, Pakistan .
Muhammad Umair KhanLecturer, Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, UCSI University , Kuala Lumpur, Malaysia .
Muhammad FayyazStudent, Department of Pharmaceutics, Faculty of Pharmacy, University of Karachi , Karachi, Pakistan .
Nida AshrafStudent, Department of Pharmaceutics, Faculty of Pharmacy, University of Karachi , Karachi, Pakistan .
Maqsood Ahmed KhanStudent, Department of Pharmaceutics, Faculty of Pharmacy, University of Karachi , Karachi, Pakistan .
Akram AhmadLecturer, Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, UCSI University , Kuala Lumpur, Malaysia .
Sameer DhingraLecturer, Department of Pharmacy Practice, School of Pharmacy, Faculty of Medical Sciences, The University of the West Indies, Champ Fleurs , Trinidad and Tobago .
King Faisal Specialist Hospital & Research Centre · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited resources of healthcare system and high use of antidepressants have raised some serious concerns regarding proper surveillance system of prescribed medicines. Not much literature is available from Pakistan regarding the potential drug-drug interactions (pDDIs) associated with antidepressants.

objectiveThe objective of this study was to assess the frequency of pDDIs associated with antidepressants, their severity, significance and their association with patient characteristics. MATERIALS AND

methodsA prospective, observational study was conducted in two major hospitals of Karachi for the period of three months. Patient profiles, medication charts, and physician notes were thoroughly reviewed to gather all the relevant information. Inclusion and exclusion criteria were set prior to data collection. The collected data was then analysed using Micromedex Drug-REAX System. Descriptive and binomial logistic regression analysis was used to express results.

resultsOf 245 prescriptions reviewed, 141 prescriptions had at least one pDDI (57.5%). A total of 181 pDDIs were identified in prescription containing antidepressant. The ratio of pDDI per prescriptions was 0.78. 42.5% interactions were moderate in severity, 30% of interactions were rapid in onset, and 43% were considered as significant interactions. Polypharmacy (OR=3.41, p< 0.001) and presence of chronic problems (OR=2.14, p=0.002) were significantly associated with the occurrence of pDDIs. Citalopram and diclofenac (11.6%) was commonly prescribed interacting pair in this study.

conclusionThe findings of this study recorded high frequency of antidepressants associated pDDIs. Our results confirm the significant association of polypharmacy with the occurrence of pDDIs with antidepressants. Future studies are warranted to establish these results by including hospitals in different parts of the country.

Indexed as

PakistanPoly pharmacySurveillance system

Identifiers

PMID26393139
PMCPMC4572970
OpenAlexW2401627901

What OpenQuestion holds

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Registered trials

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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.