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Adverse Effects of Antidepressants for Chronic Pain: A Systematic Review and Meta-analysis

Overview of attention for article published in Frontiers in Neurology, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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6 news outlets
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2 blogs
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11 X users
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11 patents
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3 Facebook pages
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3 Google+ users

Citations

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87 Dimensions

Readers on

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253 Mendeley
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Title
Adverse Effects of Antidepressants for Chronic Pain: A Systematic Review and Meta-analysis
Published in
Frontiers in Neurology, July 2017
DOI 10.3389/fneur.2017.00307
Pubmed ID
Authors

Carina Riediger, Tibor Schuster, Kristian Barlinn, Sarah Maier, Jürgen Weitz, Timo Siepmann

Abstract

Antidepressants are widely used in the treatment of chronic pain. Applied doses are lower than those needed to unfold an antidepressive effect. While efficacy of antidepressants for chronic pain has been reported in large randomized-controlled trials (RCT), there is inconsistent data on adverse effects and tolerability. We aimed at synthesizing data from RCT to explore adverse effect profiles and tolerability of antidepressants for treatment of chronic pain. Systematic literature research and meta-analyses were performed regarding side effects and safety of different antidepressants in the treatment of chronic pain according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The National Center for Biotechnology Information library and MEDLINE were searched. Randomized placebo-controlled trials were included in quantitative data synthesis. Out of 1,975 screened articles, 33 papers published between 1995 and 2015 were included in our review and 23 studies were included in the meta-analyses. A higher risk for adverse effects compared to placebo was observed in all antidepressants included in our analyses, except nortriptyline. The most prevalent adverse effects were dry mouth, dizziness, nausea, headache, and constipation. Amitriptyline, mirtazapine, desipramine, venlafaxine, fluoxetine, and nortriptyline showed the highest placebo effect-adjusted risk of adverse effects. Risk for withdrawal due to adverse effects was highest in desipramine (risk ratio: 4.09, 95%-confidence interval [1.31; 12.82]) followed by milnacipran, venlafaxine, and duloxetine. The most common adverse effects under treatment with antidepressants were dry mouth, dizziness, nausea, headache, and constipation followed by palpitations, sweating, and drowsiness. However, overall tolerability was high. Each antidepressant showed distinct risk profiles of adverse effects. Our synthesized data analysis confirmed overall tolerability of low-dose antidepressants for the treatment of chronic pain and revealed drug specific risk profiles. This encompassing characterization of adverse effect profiles might be useful in defining multimodal treatment regimens for chronic pain which also consider patients' comorbidities and co-medication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 253 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 35 14%
Student > Master 28 11%
Researcher 27 11%
Other 23 9%
Student > Ph. D. Student 23 9%
Other 51 20%
Unknown 66 26%
Readers by discipline Count As %
Medicine and Dentistry 60 24%
Pharmacology, Toxicology and Pharmaceutical Science 24 9%
Neuroscience 17 7%
Nursing and Health Professions 13 5%
Psychology 12 5%
Other 37 15%
Unknown 90 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 26 March 2024.
All research outputs
#632,195
of 25,225,928 outputs
Outputs from Frontiers in Neurology
#219
of 14,334 outputs
Outputs of similar age
#13,228
of 318,412 outputs
Outputs of similar age from Frontiers in Neurology
#13
of 208 outputs
Altmetric has tracked 25,225,928 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 98% 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 318,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 208 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 94% of its contemporaries.