SC Dermatologia, Fondazione IRCCS Policlinico San Matteo
Pavia, 27100, Italy
Location status: Recruiting
NCT Number: NCT07142473
Given the renewed focus on mastocytosis (recognized in Italy as a rare disease since 2018) and emerging clinical and immunogenetic knowledge, and considering the rarity of the disease and limited understanding of its progression, this observational study aims to analyze epidemiological, clinical, genetic, immunohistochemical, and laboratory characteristics of patients with mastocytosis. This will help expand knowledge about the disease and identify prognostic variables useful in developing a personalized therapeutic approach.
This registry aims to collect retrospective and prospective data on patients with cutaneous and systemic mastocytosis attending the Dermatology Unit at the IRCCS Fondazione Policlinico San Matteo.
This is a single-center longitudinal hospital registry including patients with cutaneous and systemic mastocytosis, collected retrospectively and prospectively to assess the clinical, serological, hematological, and molecular characteristics of patients with cutaneous and systemic mastocytosis and their correlation with specific outcomes such as disease variant (cutaneous or systemic), extent of skin involvement, and survival rate.
Interested in participating?
Request Info6 year and older
All sexes
Observational
Pavia, 27100, Italy
Location status: Recruiting
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Time frame: January 2034
The prevalence and the 95% exact binomial confidence interval will be presented
Time frame: January 2034
The association will be evaluated using a multivariate logistic model; the number of covariates will be limited by the number of systemic mastocytosis cases, maintaining a 1:10 ratio. The selection of covariates will be made a priori based on scientific knowledge. Odds ratios (OR) and their corresponding 95% confidence intervals (CI) will be reported. The model's discriminatory ability (area under the ROC curve) and its calibration (graphically) will be calculated
Time frame: January 2034
The analysis will be performed using a multivariate logistic model
Time frame: January 2034
The survival rate will be reported as deaths per 100 person-years; the start date for follow-up will be the diagnosis of the disease. The groups will be compared using the log-rank test, and survival will be described using Kaplan-Meier curves. A Cox model will be used to derive the hazard ratio (HR) and the corresponding 95% confidence interval (CI). Harrell's C-statistic will be calculated to assess the model's discriminatory ability. Estimates will be adjusted, where possible, for potential confounding factors
Time frame: January 2034
The analysis will be performed using a multivariate logistic model
Time frame: January 2034
The analysis will be performed using a multivariate logistic model. For the purposes of the analysis, age will be dichotomized at the median. Linear regression models may also be used
Contact information is provided by the study sponsor or research team.
Fondazione IRCCS Policlinico San Matteo di Pavia
Other
Acronym: MaRe
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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