title: Results of the Leeds assessment of neuropathic symptoms and signs pain scale in Turkey: a validation study.
abstract: Classification of pain and identification of the specific pain mechanisms through utilization of clinical data are helpful to the physician in choosing the appropriate treatment model. For discrimination between different pain types, various tests could be used. The Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) Pain Scale is a scale based on the analysis of data obtained during bedside examination. The LANSS Pain Scale, as first used by Bennett, is a very useful tool that provides immediate information in the clinical setting and helps distinguish nociceptive pain from neuropathic pain. In this study we targeted validation of the LANSS Pain Scale in the Turkish population. A total of 104 patients who consulted the Algology Department of Istanbul Faculty of Medicine Outpatient Clinic were enrolled in our validation study. The sensitivity and specificity of the scale were found to be 89.9% and 94.2%, respectively. These results suggest a high validity level for the Turkish version of the LANSS Pain Scale. We believe that this scale is a useful tool for the differential diagnosis of neuropathic pain and can be used in future pharmacologic studies.
  
  
  CONCLUSIONS
  Any measures that aid in differentiating neuropathic pain from nociceptive pain would facilitate effective management of pain. In daily practice the simplicity of the classification method is important. The present study suggests that Turkish version of LANSS can be used for the discrimination between neuropathic and nociceptive types of pain.
authors.affiliation: Department of Algology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey. yucel@istanbul.edu.tr
authors.forename: Aysen
authors.initials: A
authors.lastname: Yucel
authors.forename: Mustafa
authors.initials: M
authors.lastname: Senocak
authors.forename: Elif
authors.initials: E
authors.lastname: Kocasoy Orhan
authors.forename: Ali
authors.initials: A
authors.lastname: Cimen
authors.forename: Mustafa
authors.initials: M
authors.lastname: Ertas
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010146:Pain / Q000175:diagnosis / Q000453:epidemiology*; D010147:Pain Measurement / Q000379:methods* / Q000592:standards* / Q000706:statistics & numerical data; D012680:Sensitivity and Specificity; D014421:Turkey / Q000453:epidemiology