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The challenge of perioperative pain management in opioid-tolerant patients

Overview of attention for article published in Therapeutics and Clinical Risk Management, September 2017
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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 (96th percentile)

Mentioned by

twitter
27 tweeters

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
160 Mendeley
Title
The challenge of perioperative pain management in opioid-tolerant patients
Published in
Therapeutics and Clinical Risk Management, September 2017
DOI 10.2147/tcrm.s141332
Pubmed ID
Authors

Flaminia Coluzzi, Francesca Bifulco, Arturo Cuomo, Mario Dauri, Claudio Leonardi, Rita Maria Melotti, Silvia Natoli, Patrizia Romualdi, Gennaro Savoia, Antonio Corcione

Abstract

The increasing number of opioid users among chronic pain patients, and opioid abusers among the general population, makes perioperative pain management challenging for health care professionals. Anesthesiologists, surgeons, and nurses should be familiar with some pharmacological phenomena which are typical of opioid users and abusers, such as tolerance, physical dependence, hyperalgesia, and addiction. Inadequate pain management is very common in these patients, due to common prejudices and fears. The target of preoperative evaluation is to identify comorbidities and risk factors and recognize signs and symptoms of opioid abuse and opioid withdrawal. Clinicians are encouraged to plan perioperative pain medications and to refer these patients to psychiatrists and addiction specialists for their evaluation. The aim of this review was to give practical suggestions for perioperative management of surgical opioid-tolerant patients, together with schemes of opioid conversion for chronic pain patients assuming oral or transdermal opioids, and patients under maintenance programs with methadone, buprenorphine, or naltrexone.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 160 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 13%
Other 20 13%
Student > Doctoral Student 20 13%
Researcher 14 9%
Student > Master 11 7%
Other 38 24%
Unknown 36 23%
Readers by discipline Count As %
Medicine and Dentistry 61 38%
Nursing and Health Professions 29 18%
Biochemistry, Genetics and Molecular Biology 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Agricultural and Biological Sciences 3 2%
Other 17 11%
Unknown 40 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 29 August 2019.
All research outputs
#1,782,347
of 23,001,641 outputs
Outputs from Therapeutics and Clinical Risk Management
#69
of 1,271 outputs
Outputs of similar age
#37,114
of 316,305 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#1
of 29 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,271 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 94% 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 316,305 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 29 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.