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Clinically significant drug–drug interactions involving opioid analgesics used for pain treatment in patients with cancer: a systematic review

Overview of attention for article published in Drug Design, Development and Therapy, September 2015
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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14 X users

Citations

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32 Dimensions

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122 Mendeley
Title
Clinically significant drug–drug interactions involving opioid analgesics used for pain treatment in patients with cancer: a systematic review
Published in
Drug Design, Development and Therapy, September 2015
DOI 10.2147/dddt.s86983
Pubmed ID
Authors

Aleksandra Kotlinska-Lemieszek, Pål Klepstad, Dagny Faksvåg Haugen

Abstract

Opioids are the most frequently used drugs to treat pain in cancer patients. In some patients, however, opioids can cause adverse effects and drug-drug interactions. No advice concerning the combination of opioids and other drugs is given in the current European guidelines. To identify studies that report clinically significant drug-drug interactions involving opioids used for pain treatment in adult cancer patients. Systematic review with searches in Embase, MEDLINE, and Cochrane Central Register of Controlled Trials from the start of the databases (Embase from 1980) through January 2014. In addition, reference lists of relevant full-text papers were hand-searched. Of 901 retrieved papers, 112 were considered as potentially eligible. After full-text reading, 17 were included in the final analysis, together with 15 papers identified through hand-searching of reference lists. All of the 32 included publications were case reports or case series. Clinical manifestations of drug-drug interactions involving opioids were grouped as follows: 1) sedation and respiratory depression, 2) other central nervous system symptoms, 3) impairment of pain control and/or opioid withdrawal, and 4) other symptoms. The most common mechanisms eliciting drug-drug interactions were alteration of opioid metabolism by inhibiting the activity of cytochrome P450 3A4 and pharmacodynamic interactions due to the combined effect on opioid, dopaminergic, cholinergic, and serotonergic activity in the central nervous system. Evidence for drug-drug interactions associated with opioids used for pain treatment in cancer patients is very limited. Still, the cases identified in this systematic review give some important suggestions for clinical practice. Physicians prescribing opioids should recognize the risk of drug-drug interactions and if possible avoid polypharmacy.

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X Demographics

The data shown below were collected from the profiles of 14 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 17%
Student > Doctoral Student 14 11%
Student > Bachelor 12 10%
Researcher 11 9%
Other 9 7%
Other 26 21%
Unknown 29 24%
Readers by discipline Count As %
Medicine and Dentistry 45 37%
Pharmacology, Toxicology and Pharmaceutical Science 15 12%
Nursing and Health Professions 8 7%
Psychology 4 3%
Agricultural and Biological Sciences 3 2%
Other 15 12%
Unknown 32 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 December 2022.
All research outputs
#3,038,555
of 25,774,185 outputs
Outputs from Drug Design, Development and Therapy
#159
of 2,281 outputs
Outputs of similar age
#37,455
of 277,654 outputs
Outputs of similar age from Drug Design, Development and Therapy
#5
of 131 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 277,654 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 86% of its contemporaries.
We're also able to compare this research output to 131 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 96% of its contemporaries.