Evidence map›Paper›PMID 30402286›Full record

ArticleJournal of aging research2018

Evaluation of Potential Drug-Drug Interactions with Medications Prescribed to Geriatric Patients in a Tertiary Care Hospital.

Varsha Shetty, Mukta N Chowta, Nithyananda Chowta K, Ashok Shenoy, Ashwin Kamath, Priyanka Kamath

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Article in Journal of aging research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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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.

Varsha ShettyDepartment of Medicine and Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India.
Mukta N ChowtaDepartment of Medicine and Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India.ORCID 0000-0002-2230-5003
Nithyananda Chowta KDepartment of Medicine and Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India.ORCID 0000-0002-1333-5235
Ashok ShenoyDepartment of Medicine and Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India.ORCID 0000-0003-4306-7582
Ashwin KamathDepartment of Medicine and Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India.ORCID 0000-0002-9609-0199
Priyanka KamathDepartment of Medicine and Pharmacology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India.ORCID 0000-0001-9471-8336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe drugs most commonly implicated in major potential interactions are those used in the day-to-day clinical management of elderly patients with chronic diseases. This study is planned to evaluate the profile of drug-drug interactions in the medications prescribed to elderly population and also to identify the possible predictors for potential drug-drug interactions in the elderly.

methodsThis cross-sectional study included patients aged above 60 years with a minimum of two drugs in the prescriptions. Data were collected from medical prescriptions and patients' medical records. The data collected included demographic characteristics such as age, gender, height, weight, educational status, socioeconomic status, medical history, and medications prescribed. The prescriptions were analyzed for the potential drug interactions using Lexi-Interact™ Online, an online software to check drug-drug interactions.

resultsA total of 209 patients were included in the study, among them 104 (49.8%) were males and 105 (50.2%) were females. The mean number of medications received was 6.53 ± 2.15 per prescription. Around 138 (66%) patients received more than six medications. The mean number of potential drug interactions seen in the prescription of these patients was 3.17 ± 2.78. Around 18.2% patients had more than five drug interactions. Major drug interactions were observed in 21.42% of cases. Around 3.02% of drug interactions belonged to risk category X, i.e., to be avoided. Logistic regression analysis showed that age above 70 years was associated with the presence of drug interactions. Increased number of medication was independently associated with the occurrence of drug interactions. The presence of drug interactions was not associated with increased number of comorbidities.

conclusionA significant number of potential drug-drug interactions were seen in the prescriptions of elderly patients. Increasing age and polypharmacy were identified as the predictors of potential drug interactions.

Identifiers

PMID30402286
PMCPMC6198551

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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.