RecruitingNCT07766200

Pain Phenotypes in Individuals With Chronic Low Back Pain

Pain Phenotypes in Chronic Low Back Pain Based on IASP Criteria


Sponsor

Kutahya Health Sciences University

Enrollment

80 participants

Start Date

Jan 2, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

This observational cross-sectional study aims to determine pain phenotypes in individuals with chronic low back pain (CLBP). Participants will be classified according to a mechanism-based clinical pain phenotyping algorithm as having nociceptive, neuropathic, nociplastic, or mixed pain. Clinical history, quantitative sensory assessment, pain characteristics and distribution, central sensitization-related symptoms, disability, health-related quality of life, and pain catastrophizing will be assessed. In addition, the intra-rater and inter-rater reliability of the pain phenotyping algorithm will be investigated, and the clinical characteristics of different pain phenotypes will be compared.


Eligibility

Min Age: 18 YearsMax Age: 70 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Pain classification method for people with chronic low back pain (clbp). The study is currently recruiting participants at 1 location. People eligible for this study include aged 18 Years to 70 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTPain classification method

A current clinical algorithm will be used to determine the predominant type of pain in individuals with clip. The classification to diagnose nociceptive, neuropathic and nociplastic pain will based on a recent method developed by Nijs et al. This method consists of seven steps in total. These steps question the following, respectively: duration of pain, pain distribution, presence of nociceptive pain, presence of neuropathic pain, phenomenon of hypersensitivity, presence of hypersensitization and presence of specific comorbidity. Besides, inter-rater and intra-rater reliability of pain classification algorithm will be determined by two independent researchers.


Locations(1)

Kutahya Health Sciences University Physical Medicine and Rehabilitation Department

Kütahya, Türkiye, Turkey (Türkiye)

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NCT07766200


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