Skip to main navigation Skip to search Skip to main content

Avoiding Catch-22: validating the PainDETECT in a in a population of patients with chronic pain

  • Hans Timmerman
  • , André P Wolff
  • , Ewald M Bronkhorst
  • , Oliver H G Wilder-Smith
  • , Marcel J Schenkels
  • , Nick T van Dasselaar
  • , Frank J P M Huygen
  • , Monique A H Steegers
  • , Kris C P Vissers
  • Department of Anesthesiology, Pain and Palliative Medicine, Radboud university medical center, Huispost 549, PO Box 9101, 6500, HB, Nijmegen, the Netherlands. [email protected].
  • Department of Anesthesiology, Pain Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Department for Health Evidence, Radboud university medical center, Nijmegen, the Netherlands.
  • Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark.
  • Bernhoven Ziekenhuis, Department of Anesthesiology, Uden, the Netherlands.
  • Reinier de Graaf Gasthuis, Department of Anesthesiology, Pain Medicine and Palliative Care, Delft, the Netherlands.
  • ErasmusMC, Department of Anesthesiology, University Center of Pain Medicine, Rotterdam, the Netherlands.
  • Department of Anesthesiology, Pain and Palliative Medicine, Radboud university medical center, Huispost 549, PO Box 9101, 6500, HB, Nijmegen, the Netherlands.

Research output: Contribution to journalArticleAcademicpeer-review

18 Downloads (Pure)

Abstract

BACKGROUND: Neuropathic pain is defined as pain caused by a lesion or disease of the somatosensory nervous system and is a major therapeutic challenge. Several screening tools have been developed to help physicians detect patients with neuropathic pain. These have typically been validated in populations pre-stratified for neuropathic pain, leading to a so called "Catch-22 situation:" "a problematic situation for which the only solution is denied by a circumstance inherent in the problem or by a rule". The validity of screening tools needs to be proven in patients with pain who were not pre-stratified on basis of the target outcome: neuropathic pain or non-neuropathic pain. This study aims to assess the validity of the Dutch PainDETECT (PainDETECT-Dlv) in a large population of patients with chronic pain.

METHODS: A cross-sectional multicentre design was used to assess PainDETECT-Dlv validity. Included where patients with low back pain radiating into the leg(s), patients with neck-shoulder-arm pain and patients with pain due to a suspected peripheral nerve damage. Patients' pain was classified as having a neuropathic pain component (yes/no) by two experienced physicians ("gold standard"). Physician opinion based on the Grading System was a secondary comparison.

RESULTS: In total, 291 patients were included. Primary analysis was done on patients where both physicians agreed upon the pain classification (n = 228). Compared to the physician's classification, PainDETECT-Dlv had a sensitivity of 80% and specificity of 55%, versus the Grading System it achieved 74 and 46%.

CONCLUSION: Despite its internal consistency and test-retest reliability the PainDETECT-Dlv is not an effective screening tool for a neuropathic pain component in a population of patients with chronic pain because of its moderate sensitivity and low specificity. Moreover, the indiscriminate use of the PainDETECT-Dlv as a surrogate for clinical assessment should be avoided in daily clinical practice as well as in (clinical-) research. Catch-22 situations in the validation of screening tools can be prevented by not pre-stratifying the patients on basis of the target outcome before inclusion in a validation study for screening instruments.

TRIAL REGISTRATION: The protocol was registered prospectively in the Dutch National Trial Register: NTR 3030 .

Original languageEnglish
Pages (from-to)91
JournalBMC neurology
Volume18
Issue number1
DOIs
Publication statusPublished - 29 Jun 2018

Keywords

  • Adult
  • Aged
  • Chronic Pain/diagnosis
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neuralgia/diagnosis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surveys and Questionnaires

Fingerprint

Dive into the research topics of 'Avoiding Catch-22: validating the PainDETECT in a in a population of patients with chronic pain'. Together they form a unique fingerprint.

Cite this