Measurement Properties of the Central Sensitization Inventory: A Systematic Review

Pain Pract. 2018 Apr;18(4):544-554. doi: 10.1111/papr.12636. Epub 2017 Nov 20.

Abstract

Background and objective: Central sensitization (CS) is a phenomenon associated with several medical diagnoses, including postcancer pain, low back pain, osteoarthritis, whiplash, and fibromyalgia. CS involves an amplification of neural signaling within the central nervous system that results in pain hypersensitivity. The purpose of this systematic review was to gather published studies of a widely used outcome measure (the Central Sensitization Inventory [CSI]), determine the quality of evidence these publications reported, and examine the measurement properties of the CSI.

Databases and data treatment: Four databases were searched for publications from 2011 (when the CSI was developed) to July 2017. The Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) checklist was applied to evaluate methodological quality and risk of bias. In instances when COSMIN did not offer a scoring system for measurement properties, qualitative analyses were performed.

Results: Fourteen studies met inclusion criteria. Quality of evidence examined with the COSMIN checklist was determined to be good to excellent for all studies for their respective measurement property reports. Interpretability measures were consistent when publications were analyzed qualitatively, and construct validity was strong when examined alongside other validated measures relating to CS.

Conclusions: An assessment of the published measurement studies of the CSI suggest the tool generates reliable and valid data that quantify the severity of several symptoms of CS.

Keywords: Central Sensitization Inventory; Consensus-Based Standards for the Selection of Health Measurement Instruments; central sensitivity; central sensitivity syndrome; central sensitization; outcomes.

Publication types

  • Systematic Review

MeSH terms

  • Central Nervous System Sensitization*
  • Humans
  • Outcome Assessment, Health Care*
  • Reproducibility of Results