- ICH GCP
- Registro de ensayos clínicos de EE. UU.
- Ensayo clínico NCT07631338
Low-grade Gliomas in Argentina: Incidence, Survival, and Therapeutic Strategies
Low-grade gliomas (LGG) are slow-growing primary brain tumors (WHO grades I-II), and their incidence, survival, and treatment patterns in middle-income settings such as Argentina remain poorly characterized. This retrospective, multicenter study comprises two complementary cohorts:
- Cohort 1: The "captive" population covered under the Hospital Italiano de Buenos Aires Health Plan (January 2011-December 2023) to estimate LGG incidence density.
- Cohort 2: Histologically confirmed LGG patients treated at the major referral centers to describe overall survival (OS) and disease-free survival (DFS) at 1 and 5 years.
Demographic, clinical, pathological, and treatment data will be collected in a centralized REDCap database.
The primary objective is to describe LGG incidence in Argentina and estimate survival using Kaplan-Meier curves. The secondary objectives include characterizing therapeutic strategies, molecular mutations, and prognostic factors through Cox regression analysis. This registry will fill a critical gap in LGG epidemiology in middle-income countries and generate hypotheses for future research.
Descripción general del estudio
Estado
Condiciones
Descripción detallada
Background Low-grade gliomas (LGG) represent approximately 6% of primary central nervous system tumors in adults and exhibit unpredictable biological behavior. Although high-income countries have published LGG incidence and survival data stratified by age, sex, and molecular profile, data from Argentina and other middle-income regions are scarce. IDH mutations and other molecular markers, along with clinical factors (age, seizures, tumor volume, and location) and treatment modalities, influence disease progression and prognosis in these patients.
Objectives
- Primary (Cohort 1): Estimate LGG incidence density in the Hospital Italiano Health Plan population (2011-2023), expressed as cases per 100,000 person-years.
- Primary (Cohort 2): Describe OS and DFS at 1 and 5 years post-diagnosis.
- Secondary: Characterize therapeutic strategies (surgical, chemoradiotherapy, monotherapy), molecular profile (IDH, P53, 1p/19q mutations), and identify prognostic factors associated with OS and DFS using multivariable Cox regression.
Design and Scope
This is a retrospective, multicenter, observational cohort study with two cohorts:
- Cohort 1 (incidence): Retrospective analysis of the Hospital Italiano de Buenos Aires database to identify new LGG cases from January 2011 to December 2023.
- Cohort 2 (survival): Consecutive inclusion of all patients with histologically confirmed LGG treated at the participating centers during the same period.
Population
- Inclusion (Cohort 1): Age ≥ 18 years, HIBA affiliates, ≥ 1 year of documented follow-up.
- Inclusion (Cohort 2): Age ≥ 18 years, histologically confirmed LGG (WHO I-II), ≥ 1 year of documented follow-up.
- Exclusion (both cohorts): Incomplete or uncertain diagnosis per histopathological/genetic criteria.
Data Collection & Management Local investigators will extract demographic, clinical, radiological, pathological, and treatment data from electronic health records. All data will be entered retrospectively into a secure, centralized REDCap database with individual user credentials. Quality control checks (cross-validation with source records) will be performed periodically. After analysis and publication, the database will be permanently deleted to preserve confidentiality.
Key Variables
- Demographics: age, sex, comorbidities, functional status, care setting.
- Tumor Characteristics: volume, location (supra-/infratentorial, hemisphere), histology, IDH/P53 mutation status.
- Treatment Details: extent of resection (total/partial), chemotherapy (agents, cycles, toxicities), radiotherapy (type, dose, fractions).
- Outcomes: time to progression, OS, DFS, postoperative complications, adverse events.
Statistical Analysis
- Cohort 1: Calculate incidence density (cases/person-years) with 95 % confidence intervals by age and sex. Standardization will use INDEC population data.
- Cohort 2: Estimate OS and DFS at 1, and 5 years using Kaplan-Meier methods; report proportions with 95 % CIs. Perform multivariable Cox regression to identify prognostic factors (age, tumor volume, mutation status, treatment type), reporting hazard ratios with 95 % CIs.
- Sample Size: Approximately 180 000 person-years in Cohort 1 (projected 13-14 LGG cases); ≥ 40 patients in Cohort 2 to estimate a 30 % survival rate with ± 10 % precision.
Ethical Considerations The study has a waiver of informed consent under local regulations and CIOMS guidelines. All data will be anonymized using numeric codes and stored on encrypted servers until study completion. In addition, each participating center must obtain approval from its respective ethics committee (IRB/EC) before initiating data collection and provide documentation of such approvals.
Tipo de estudio
Inscripción (Estimado)
Contactos y Ubicaciones
Estudio Contacto
- Nombre: Ivan Alfredo Huespe, MD, MPh
- Número de teléfono: +5493425382554
- Correo electrónico: ivan.huespe@hospitalitaliano.org.ar
Copia de seguridad de contactos de estudio
- Nombre: Veronica Ester Monzon, MD
- Número de teléfono: +5491165846854
- Correo electrónico: veronica.monzon@hospitalitaliano.org.ar
Ubicaciones de estudio
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Buenos Aires F.D.
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Buenos Aires, Buenos Aires F.D., Argentina, C1118AAT
- Reclutamiento
- Hospital Aleman
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Contacto:
- Daniel Ignacio Ivulich, MD
- Número de teléfono: +5491161859413
- Correo electrónico: di.ivulich@gmail.com
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Buenos Aires, Buenos Aires F.D., Argentina, C1199ABB
- Reclutamiento
- Hospital Italiano de Buenos Aires
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Contacto:
- Ivan Alfredo Huespe, MD, MPh
- Número de teléfono: +5493425382554
- Correo electrónico: ivan.huespe@hospitalitaliano.org.ar
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Córdoba Province
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Córdoba, Córdoba Province, Argentina, X5016KEH
- Reclutamiento
- Hospital Privado Universitario de Córdoba
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Contacto:
- Emiliano Tornu, MD
- Número de teléfono: +5491164073575
- Correo electrónico: emilianocornu@gmail.com
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Florencio Varela
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Buenos Aires, Florencio Varela, Argentina, B1888
- Reclutamiento
- Hospital de Alta Complejidad El Cruce - Dr. Néstor Kirchner
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Contacto:
- Maximiliano Núñez, MD
- Número de teléfono: +5492216061422
- Correo electrónico: maxineuro@gmail.com
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Pilar
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Buenos Aires, Pilar, Argentina, B1629AHJ
- Reclutamiento
- Hospital Universitario Austral
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Contacto:
- Alicia Gira, MD
- Número de teléfono: +5491126336442
- Correo electrónico: aliciaroxanagira@gmail.com
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San Justo
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Buenos Aires, San Justo, Argentina, C1198AAW
- Reclutamiento
- Hospital Italiano sede San Justo Agustín Rocca
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Contacto:
- Veronica Ester Monzon, MD
- Número de teléfono: +5491165846854
- Correo electrónico: veronica.monzon@hospitalitaliano.org.ar
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
- Adulto
- Adulto Mayor
Acepta Voluntarios Saludables
Método de muestreo
Población de estudio
Descripción
Study population cohort 1
Inclusion Criteria
- Adult patients (≥18 years old) affiliated to the health plan of Hospital Italiano de Buenos Aires.
- Documented clinical follow-up of at least 1 year during the study period.
Exclusion Criteria
- Patients not affiliated to the health plan of the Hospital Italiano de Buenos Aires.
Study population cohort 2
Inclusion Criteria
- Adult patients (≥18 years) with histopathologically confirmed diagnosis of low-grade glioma (WHO grades I and II).
Exclusion Criteria
- Incomplete or doubtful diagnosis based on histopathologic and molecular criteria.
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
Cohortes e Intervenciones
Grupo / Cohorte |
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Cohort 1: Incidence cohort
Affiliates of the Hospital Italiano Health Plan from January 2011 to December 2023 used to estimate the incidence density of low-grade gliomas.
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Cohort 2: Survival cohort
Histologically confirmed low-grade glioma patients treated at participating centers, followed retrospectively for up to 5 years to assess overall and disease-free survival.
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¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Describe the incidence density of LGG
Periodo de tiempo: January 2011 - December 2023
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The incidence density will be estimated as the number of new cases of LGG divided by the person-time at risk (expressed in patient-years).
The incidence stratified by age group, and sex, with corresponding 95% confidence intervals, will be described.
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January 2011 - December 2023
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Generate an Argentine population projection model
Periodo de tiempo: January 2011 - December 2023
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A model will be developed to extrapolate the incidence rates of LGG calculated in the HIBA cohort to the general Argentine population.
Initially, specific incidence rates will be estimated, both overall and stratified by age and sex, including 95% confidence intervals to ensure accuracy.
Subsequently, a standardization process will be applied to adjust for demographic differences between the HIBA population and the general population of Argentina, using data from the National Institute of Statistics and Census of Argentina (In Spanish: Instituto Nacional de Estadísticas y Censos [INDEC]).
Finally, the expected cases of LGG will be extrapolated to the national level, generating specific estimates by age and sex per year.
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January 2011 - December 2023
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Describe overall survival (OS) and disease-free survival (DFS)
Periodo de tiempo: Up to 5 years post-diagnosis
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OS and DFS will be estimated using life tables and plotted with Kaplan-Meier graphs.
Survival and disease-free survival at 1 and 5 years will be reported with the corresponding proportion and 95% confidence interval.
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Up to 5 years post-diagnosis
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Describe the treatment strategies implemented in patients with LGG in public and private institutions
Periodo de tiempo: January 2011 - December 2023
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Absolute and relative frequencies will be calculated for the treatment strategies used (surgical treatment, chemo-radiotherapy, radiotherapy alone), stratified by type of institution (public or private).
Proportions will be reported with their corresponding 95% confidence interval.
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January 2011 - December 2023
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Evaluate factors associated with shorter time to death or death and relapse
Periodo de tiempo: Up to 5 years post-diagnosis
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Cox regression models will be used to identify factors associated with shorter time to death and time to death or relapse.
Independent variables such as age, comorbidities, tumor location and volume, molecular status (HDI, 1p/19q codeletion), and type of treatment received will be included.
Results will be reported as Hazard Ratio with 95% confidence intervals.
Data will be plotted with Kaplan-Meier curves.
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Up to 5 years post-diagnosis
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Colaboradores e Investigadores
Patrocinador
Investigadores
- Director de estudio: Ivan Alfredo Huespe, MD, MPh, Hospital Italiano de Buenos Aires
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Actual)
Finalización primaria (Estimado)
Finalización del estudio (Estimado)
Fechas de registro del estudio
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Actual)
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Palabras clave
Términos MeSH relevantes adicionales
- Enfermedades Cerebrales
- Enfermedades del Sistema Nervioso Central
- Enfermedades del Sistema Nervioso
- Neoplasias por sitio
- Neoplasias
- Neoplasias por tipo histológico
- Neoplasias Glandulares y Epiteliales
- Neoplasias Neuroepiteliales
- Tumores neuroectodérmicos
- Neoplasias De Células Germinales Y Embrionarias
- Neoplasias De Tejido Nervioso
- Neoplasias del Sistema Nervioso
- Neoplasias del Sistema Nervioso Central
- Glioma
- Neoplasias Cerebrales
Otros números de identificación del estudio
- 7339
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
Descripción del plan IPD
Información sobre medicamentos y dispositivos, documentos del estudio
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