ActiveNCT07321288

Identification of Risk Factors and Development of an Interpretable Machine Learning Model for Predicting Insulin Resistance in Patients With Psoriasis

Sponsor: Chinese PLA General Hospital

Trial Details

ConditionPsoriasis, Insulin Resistance
StatusActive
Participants1,265
Est. Completion1 Sept 2026
Last Updated8 May 2026

Primary Outcome

Insulin Resistance Status Assessed by the TyG Index

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Adults aged 18 years or older * Diagnosed with psoriasis (including plaque psoriasis, pustular psoriasis, erythrodermic psoriasis, or other clinically recognized subtypes), according to established clinical diagnostic guidelines * Received medical care at Chinese PLA General Hospital (First Medical Center) or the collaborating center (Fourth Medical Center) during the study period * Availability of complete medical records, including demographic information, relevant clinical characteristics, and laboratory data required to assess insulin resistance Exclusion Criteria: * Previous or current diagnosis of diabetes mellitus * Presence of severe systemic diseases that may significantly affect glucose metabolism (such as malignant tumors, hyperthyroidism, or other serious endocrine disorders) * Current or recent use of systemic medications known to affect insulin sensitivity, including:Systemic corticosteroids,Glucose-lowering medications, or Other medications with known significant effects on insulin resistance * Pregnant or breastfeeding women * Medical records with missing key variables required for the assessment of insulin resistance or model development

Trial Sites

Countries

China
View Registry Entry

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service