178
Views
0
CrossRef citations to date
0
Altmetric
Review

The Role of Screening Tools in Diagnosing Neuropathic Pain

, , &
Pages 233-243 | Published online: 23 Jun 2014
 

SUMMARY: 

Neuropathic pain affects 6–8% of the general adult population. It is reported by 27% of chronic pain patients and 40% of cancer patients, yet there is no standardized diagnostic test for neuropathic pain. A number of screening tools have been developed based on verbal pain descriptors, with or without limited clinical examination, to identify individuals with neuropathic pain. Over the past decade these neuropathic pain screening tools have been validated in a wide range of pain populations, as well as translated into many languages, to discriminate between neuropathic and non-neuropathic pain. We describe here the five most commonly used neuropathic pain screening tools and discuss current assessment guidelines, the use of screening tools in novel clinical contexts and their potential use in personalized therapy.

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 412.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.