TY - JOUR
T1 - International Registry of thyroid cancer in Latin American (CaTaLiNA)
T2 - Epidemiology, clinical and follow-up study protocol in Latin American countries during the period 2023-2028
AU - Solis Pazmino, Paola
AU - Pilatuna, Eduardo
AU - Ron, Mario
AU - Ledesma, Tannya
AU - Alvarado, Benjamin
AU - Rojas, Tatiana
AU - Pazmino, Camila
AU - Tite, Belen
AU - Figueroa, Luis
AU - Lincango, Eddy
AU - Hernandez, Victor
AU - Salazar, Jorge
AU - Garcia, Cristhian
AU - Rosero, Daniela
AU - Guerrero, Jose
AU - Ruilova, Lisbeth
AU - Imaicela, Luis
AU - Abad, Hamilton
AU - Paz-Ibarra, Jose
AU - Gonzalez, Camilo
AU - Palacios, Antonio
AU - Zanella, Virgilio
AU - Nasseri, Yosef
AU - Cohen, Jason
AU - Soto-Becerra, Percy
AU - Brito, Juan P.
AU - Ponce- Ponte, Oscar J.
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
PY - 2025/6/22
Y1 - 2025/6/22
N2 - Introduction Differentiated thyroid cancer (DTC) is the most common endocrine malignancy, with a high 5-year survival rate of approximately 98%. Despite advances in diagnosis and treatment, up to 20% of patients experience recurrence, adversely affecting their quality of life. Predictive models have been developed to assess recurrence risk and guide clinical decision-making, but these models often face limitations such as retrospective design, lack of diversity in study populations and absence of external validation. The primary aim is to externally validate existing predictive models for DTC recurrence using prospective data from a diverse Latin American cohort. The secondary aim is to explore opportunities for model recalibration to improve their performance in our population. Methods and analysis The CaTaLiNA study is a multicentre prospective observational study conducted across 10 hospitals in five Latin American countries, including Ecuador, Peru, Uruguay and Mexico. Patients aged 18 years or older receiving treatment for DTC, such as the first thyroid surgery, active surveillance or radiofrequency ablation will be included. Recruitment will occur from November 2023 to June 2025, with follow-up extending until June 2028. Data collection will include baseline clinical, surgical and histological characteristics, treatment details and follow-up outcomes. Statistical analysis will follow the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis guidelines, using imputation strategies for missing data and evaluating calibration and discrimination of the prediction models. Calibration measures include the ratio of expected and observed events, calibration slope and calibration plot, while discrimination will be assessed using the C-index and area under the receiver operating characteristic curve. Ethics and dissemination This study protocol was approved by Comité de Ética de Investigación en Seres Humanos de la Universidad San Francisco de Quito USFQ € CEISH-USFQ' APO-010-2023-CEIHS-USFQ Oficio No. 161-2023-CA-23030M-CEISH-USFQ. Results will be disseminated via peer-reviewed publications.
AB - Introduction Differentiated thyroid cancer (DTC) is the most common endocrine malignancy, with a high 5-year survival rate of approximately 98%. Despite advances in diagnosis and treatment, up to 20% of patients experience recurrence, adversely affecting their quality of life. Predictive models have been developed to assess recurrence risk and guide clinical decision-making, but these models often face limitations such as retrospective design, lack of diversity in study populations and absence of external validation. The primary aim is to externally validate existing predictive models for DTC recurrence using prospective data from a diverse Latin American cohort. The secondary aim is to explore opportunities for model recalibration to improve their performance in our population. Methods and analysis The CaTaLiNA study is a multicentre prospective observational study conducted across 10 hospitals in five Latin American countries, including Ecuador, Peru, Uruguay and Mexico. Patients aged 18 years or older receiving treatment for DTC, such as the first thyroid surgery, active surveillance or radiofrequency ablation will be included. Recruitment will occur from November 2023 to June 2025, with follow-up extending until June 2028. Data collection will include baseline clinical, surgical and histological characteristics, treatment details and follow-up outcomes. Statistical analysis will follow the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis guidelines, using imputation strategies for missing data and evaluating calibration and discrimination of the prediction models. Calibration measures include the ratio of expected and observed events, calibration slope and calibration plot, while discrimination will be assessed using the C-index and area under the receiver operating characteristic curve. Ethics and dissemination This study protocol was approved by Comité de Ética de Investigación en Seres Humanos de la Universidad San Francisco de Quito USFQ € CEISH-USFQ' APO-010-2023-CEIHS-USFQ Oficio No. 161-2023-CA-23030M-CEISH-USFQ. Results will be disseminated via peer-reviewed publications.
KW - Latin America
KW - head & neck surgery
KW - thyroid disease
UR - https://www.scopus.com/pages/publications/105009097140
U2 - 10.1136/bmjopen-2024-093471
DO - 10.1136/bmjopen-2024-093471
M3 - Original Article
C2 - 40545306
AN - SCOPUS:105009097140
SN - 2044-6055
VL - 15
JO - BMJ Open
JF - BMJ Open
IS - 6
M1 - e093471
ER -