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Effect of chronic opioid therapy on actual driving performance in non-cancer pain patients

Overview of attention for article published in Psychopharmacology, February 2017
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Title
Effect of chronic opioid therapy on actual driving performance in non-cancer pain patients
Published in
Psychopharmacology, February 2017
DOI 10.1007/s00213-017-4539-3
Pubmed ID
Authors

Markus B. Schumacher, Stefan Jongen, Anja Knoche, Frank Petzke, Eric F. Vuurman, Mark Vollrath, Johannes G. Ramaekers

Abstract

Chronic non-cancer pain (CNCP) is a major health problem. Patients are increasingly treated with chronic opioid therapy (COT). Several laboratory studies have demonstrated that long-term use of opioids does not generally impair driving related skills. But there is still a lack of studies investigating on-the-road driving performance in actual traffic. The present study assessed the impact of COT on road-tracking and car-following performance in CNCP patients. Twenty CNCP patients, long-term treated with stable doses of opioid analgesics, and 19 healthy controls conducted standardized on-the-road driving tests in normal traffic. Performance of controls with a blood alcohol concentration (BAC) of 0.5 g/L was used as a reference to define clinically relevant changes in driving performance. Standard Deviation of Lateral Position (SDLP), a measure of road-tracking control, was 2.57 cm greater in CNCP patients than in sober controls. This difference failed to reach statistical significance in a superiority test. Equivalence testing indicated that the 95% CI around the mean SDLP change was equivalent to the SDLP change seen in controls with a BAC of 0.5 g/L and did not include zero. When corrected for age differences between groups the 95% CI widened to include both the alcohol reference criterion and zero. No difference was found in car-following performance. Driving performance of CNCP patients did not significantly differ from that of controls due to large inter-individual variations. Hence in clinical practice determination of fitness to drive of CNCP patients who receive opioid treatments should be based on an individual assessment.

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The data shown below were collected from the profiles of 2 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Other 5 12%
Student > Ph. D. Student 5 12%
Researcher 4 10%
Student > Bachelor 4 10%
Other 4 10%
Unknown 12 29%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Psychology 6 14%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Computer Science 1 2%
Other 6 14%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 February 2017.
All research outputs
#15,695,859
of 23,323,574 outputs
Outputs from Psychopharmacology
#4,295
of 5,396 outputs
Outputs of similar age
#261,222
of 427,130 outputs
Outputs of similar age from Psychopharmacology
#29
of 55 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,396 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 427,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.