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Severe drug interactions and potentially inappropriate medication usage in elderly cancer patients

Overview of attention for article published in Supportive Care in Cancer, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
7 X users

Citations

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58 Dimensions

Readers on

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81 Mendeley
Title
Severe drug interactions and potentially inappropriate medication usage in elderly cancer patients
Published in
Supportive Care in Cancer, September 2016
DOI 10.1007/s00520-016-3409-6
Pubmed ID
Authors

Ali Alkan, Arzu Yaşar, Ebru Karcı, Elif Berna Köksoy, Muslih Ürün, Filiz Çay Şenler, Yüksel Ürün, Gülseren Tuncay, Hakan Ergün, Hakan Akbulut

Abstract

Due to more comorbidities, polypharmacy is common in elderly patients and drug interactions are inevitable. It is also challenging to treat an elderly patient with a diagnosis of cancer. Prevalence and clinical impacts of drug interactions and using potentially inappropriate medications (PIMs) have been studied in geriatric patients. However, these are not well defined in oncology practice. The purpose of this study is to define the prevalence of PIMs and severe drug interactions (SDIs) in elderly cancer patients and investigate the factors associated with them. Patients more than 65 years of age in both inpatient and outpatient clinics were evaluated. Patient, disease characteristics, and medications used were collected by self reports and medical records. Drug interactions were checked with Lexicomp® and PIM was defined with 2012 update of Beers criteria. Severe drug interactions are defined with category D or X DIs. Logistic regression was used to compute odds ratios (ORs) and 95 % confidence intervals (CIs) for the association between SDIs, PIMs, and clinical parameters. Four hundered and forty-five elderly patients (286 outpatient, 159 inpatient), with a median age of 70 (65-89) were evaluated. SDIs were present in 156 (35.1 %) of patients, 81 (28.3 %), and 75 (47.2 %) for outpatient and inpatients, respectively (p < 0.001). PIMs were present in 117 (26.6 %) of the patients, 40 (14.2 %), and 77(48.4 %) for outpatient and inpatients, respectively (p < 0.001). In multivariate analysis; polypharmacy (≥5 drugs), inpatient status and diagnosis of lung cancer were associated with severe DIs. Polypharmacy, inpatient status, and bad performance score (ECOG 3-4) were associated with PIMs. Nearly one third of the elderly cancer patients are exposed to severe drug interactions and PIMs. Clinicians dealing with elderly cancer patients should be more cautious when prescribing/ planning drugs to this group of patients. More strategies should be developed in this group of patients to minimize the medications prescribed and prevent severe DIs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Turkey 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 12%
Researcher 8 10%
Other 6 7%
Student > Postgraduate 6 7%
Student > Master 6 7%
Other 15 19%
Unknown 30 37%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 27 33%
Medicine and Dentistry 13 16%
Nursing and Health Professions 5 6%
Environmental Science 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 4 5%
Unknown 30 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2023.
All research outputs
#2,056,763
of 23,842,189 outputs
Outputs from Supportive Care in Cancer
#315
of 4,768 outputs
Outputs of similar age
#36,309
of 325,019 outputs
Outputs of similar age from Supportive Care in Cancer
#8
of 70 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,768 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,019 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.