.png){kind=icon}
.png){kind=icon}
Return
Sensory data-driven classification of complex regional pain syndrome: a multicentre cohort study
.png){kind=icon}
OA
AI
J
C
R
E
J
C
E
M
T
R
J
DOI：10.1016/j.bja.2026.06.009.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The underlying pathophysiological mechanisms of complex regional pain syndrome (CRPS) have been under debate in recent years. Previous studies identified mechanistic CRPS subtypes, which were characterised as ‘cold’ and ‘warm’ or peripheral and central phenotypes. Our aim was to examine CRPS patients through comprehensive somatosensory testing and identify potential subgroups using unbiased statistics. Thus, our approach differs fundamentally from previous top-down approaches which stratified along predefined pathophysiological mechanisms.
Keywords:
complex regional pain syndrome
phenotyping
Quantitative Sensory Testing
QST
sensory testing
stratification
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.2
Papers:
2.3W
Citations:
2.9W
Organization
Cited Papers