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NCT06798493

CSS-SR Validation Study

Enrolling by Invitation
Not specifiedAges 18+Observational
Hospital for Special Surgery, New York
~100 participants
Updated 2026-02-13 on ClinicalTrials.gov
What's tested:Complex Regional Pain Syndrome (CRPS) Severity Score - Self Report

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Concordance between CSS-Clinician and CSS-SR total scores
Measured over Date of enrollment

Conditions

Complex Regional Pain Syndrome
Pain

Explore related trials

Complex Regional Pain SyndromePain

Where it's being run

1 sites across 1 states
New York1

Study leadership

  • Alexandra Sideris, PhD · PRINCIPAL_INVESTIGATOR · Hospital for Special Surgery, New York

Who to contact

This trial hasn't published a contact. View it on ClinicalTrials.gov

Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

18 years of age or older
Suspected or diagnosed with unilateral CRPS type I or II of the upper or lower extremity
Suspected or diagnosed with non-CRPS-related pain of the upper or lower extremities

Exclusion

Bilateral CRPS
Total knee arthroplasty as the inciting event of CRPS
Less than 18 years of age
Non-English speaking
Inability to comprehend study protocol and questionnaires

What this trial measures

  • Concordance between CSS-Clinician and CSS-SR total scoresDate of enrollment

    Concordance between CSS-Clinician total scores, which will be on a numerical scale potentially ranging from 0-16, and CSS-SR total scores, which will be on a numerical scale potentially ranging from 0-13. Higher scores indicate greater CRPS symptom severity while lower scores indicate a lesser degree of symptom severity. Concordance (corrected for chance agreement) between CSS-Clinician and CSS-SR items and total scores will be assessed using intraclass correlations (ICCs; two-way random effects model; potential range = -1.00 to 1.00). Strength of agreement will be evaluated for descriptive purposes based on published recommendations: \< 0.50 = poor agreement, 0.50 - 0.75 = moderate agreement, 0.76 - 0.90 = good agreement, and \>0.90 = excellent agreement. All analyses will use the maximum number of cases available with a two-sided p\<0.05 criterion for statistical significance.