The goal of this observational study is to determine the prevalence of thyroid disease in adults with oral lichen planus (OLP) treated at the Dental Hospital of the University of Barcelona (HOUB), and to evaluate the association between OLP and thyroid disease. Secondly, to assess the association between OLP and other comorbidities, including arterial hypertension, diabetes mellitus type 2, dyslipidemia, anxiety, and depression. The main question it aims to answer is: Do people with OLP have a significant risk of developing thyroid disorders compared to people without OLP?
A cross-sectional study was conducted to investigate a total of 120 participants, 60 patients with oral lichen planus and 60 patients without the history of OLP as a control group, attending at the Dental Hospital of the University of Barcelona (HOUB). The personal medical history of thyroid disease, demographic information (age and gender) and other comorbidities history information, were collected in both groups, and obtained through the GESDEN® healthcare software (Gesden G5, Infomed - Henry Schein®, New York, United States), in addition to the paper medical records (biopsy report). Data were analyzed using χ² test and simple binary logistic regression models with the SPSS® statistical software, version 29.0.2.0 for Windows (SPSS, Illinois, United States).
Study Type
OBSERVATIONAL
Enrollment
120
Participants were identified by reviewing electronic medical records. Medical history information of thyroid disease and associated medication were collected in both groups, as well as a history of other comorbidities such as diabetes mellitus type 2, arterial hypertension, dyslipidemia, anxiety, and depression. Cases and controls were matched by age and sex.
Campus Bellvitge, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona
L'Hospitalet de Llobregat, Barcelona, Spain
Prevalence of thyroid disease in patients with OLP
Percentage of patients with OLP who have thyroid disease, determined through the review of medical records. Prevalence refers to the number of existing cases at the time of the study, reflecting the proportion of individuals with thyroid disease among the patients evaluated. Outcomes are presented in frequencies and percentages. The χ² test was used to compare the categorical variables. All the analysis was carried out on SPSS.
Time frame: 1 day
Prevalence of the most common thyroid disorders
Determine which thyroid disorder is most common in the study population. Outcomes are presented in frequencies and percentages. All the analysis was carried out on SPSS.
Time frame: 1 day
Association between OLP and thyroid disease
It is determined by comparing the frequency of thyroid disease in patients with OLP versus controls, using statistical analysis (binary logistic regression) to assess the strength and significance of such association. All the analysis was carried out on SPSS.
Time frame: 1 day
Distribution of OLP according age and gender
Frequency and percentage of OLP in different age ranges and both sexes to identify potential prevalence patterns associated with these demographic factors. Outcomes are presented in frequencies, percentages and mean ± standard deviation. All the analysis was carried out on SPSS.
Time frame: 1 day
Prevalence of other comorbidities analyzed (arterial hypertension, diabetes mellitus type 2, dyslipidemia, anxiety, and depression)
Prevalence reflects the proportion of individuals affected by each pathology at the time of evaluation. Outcomes are presented in frequencies and percentages. The χ² test was used to compare the categorical variables. All the analysis was carried out on SPSS.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: 1 day
Association between OLP and other comorbidities analyzed (arterial hypertension, diabetes mellitus type 2, dyslipidemia, anxiety, and depression)
This involves determining whether there is a significant association between OLP and these comorbidities in the study population. Statistical analysis (binary logistic regression) evaluates the strength and significance of such associations to identify potential risk factors related to OLP. All the analysis was carried out on SPSS.
Time frame: 1 day