Evidence map›Paper›PMID 28511403›Full record

ArticleJournal of clinical and diagnostic research : JCDR2017

A Prospective Analysis of Drug Interactions in Patients of Intensive Cardiac Care Unit.

Shipra Jain, Pushpawati Jain, Kopal Sharma, Pushpendra Saraswat

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  13. Observational
  14. g-Nomic: a new pharmacogenetics interpretation software.Pharmacogenomics and personalized medicine · 2019
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  15. Article
  16. Drug-drug Interaction-related Uncontrolled Glycemia.Journal of pharmacy & bioallied sciences
    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

4 authors at 1 institution in 1 country.

Shipra JainAssistant Professor, Department of Pharmacology, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Pushpawati JainProfessor and Head, Department of Pharmacology, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Kopal SharmaSenior Demonstrator, Department of Pharmacology, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Pushpendra SaraswatAssociate Professor, Pharmaceutical Research and Officer-in-charge of Central Research lab, Mahatma Gandhi Medical College and Hospital, Jaipur, Rajasthan, India.
Gandhi Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDrug-Drug Interaction (DDI) is a serious concern in cardiac patients due to polypharmacy.

aimThe present study was aimed to identify the potential DDI among hospitalized cardiac patients and evaluate the mechanism and severity of such interactions. MATERIALS AND

methodsA prospective observational study was conducted in intensive cardiac care unit of a tertiary care hospital for six months. Patients aged 18 years and above and taking two or more drugs were included in the study. Medscape drug interaction checker was used to identify and analyze the pattern of potential DDI.

resultsOut of 500 patients, most of the patients were male (78.4%) in the age group of 50-60 years (31%). The most common diagnosis was acute coronary syndrome (57.2%). Out of total 2849 DDI, 2194 (77.01%) were pharmacodynamic, 586 (20.57%) were pharmacokinetic in nature while 69 (2.42%) drug pairs interacted by unknown mechanism. Majority of drug interactions were significant {2031 (71.29%)} in nature followed by minor {725(25.45%)} while serious drug interactions were observed in only 93 (3.26%) drug pairs. A positive correlation was observed between patient's age and number of drugs prescribed (r=0.178, p<0.001), number of drugs prescribed and potential Drug-Drug Interaction (pDDI) (r= 0.788, p<0.001) and between patient's age and pDDI (r=0.338, p<0.001).

conclusionThe risk of pDDI was more commonly observed in elderly male patients particularly with antiplatelet drugs like low dose aspirin and clopidogrel.

Indexed as

Drug-drug interactionsMedscapePolypharmacySeverity

Identifiers

PMID28511403
PMCPMC5427329
OpenAlexW2605849344

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.