Evaluación de Síndromes de Medicina Tradicional en Infertilidad Masculina con Oligoastenoteratozoospermia
Caracterización de los Síndromes de Medicina Tradicional en la Infertilidad Masculina con Oligoastenoteratozoospermia Mediante Modelos de Árbol Latente
The goal of this observational study is to identify and evaluate the characteristics of Traditional Medicine (TM) syndromes in men aged 18 to 60 with male infertility and oligoasthenoteratozoospermia (OAT) syndrome. The main questions it aims to answer are:
- What are the common Traditional Medicine syndromes and symptoms associated with male infertility based on Traditional Medicine literature?
- What are the specific Traditional Medicine syndromes and symptoms found in men with OAT syndrome at Binh Dan Hospital when analyzed using Latent Tree Models?
The research will be conducted in two phases:
-
Phase 1 (Literature Review): Researchers will collect and analyze Traditional Medicine texts to list the symptoms and syndromes related to male infertility. This phase will help create a standardized clinical survey.
-
Phase 2 (Clinical Survey): Researchers will recruit 300 male participants with OAT syndrome.
- Participants will answer a survey questionnaire about their Traditional Medicine symptoms.
- Researchers will apply Latent Tree Models (a mathematical approach) to the collected data to objectively classify the TM syndromes.
Descripción general del estudio
Estado
Estado
Condiciones
Condiciones
Descripción detallada
-
Study Rationale and Methodology Oligoasthenoteratozoospermia (OAT) is a significant contributor to male infertility, characterized by concurrent abnormalities in sperm concentration, motility, and morphology. While Traditional Medicine has been recognized by the World Health Organization (WHO) for its role in improving semen parameters, the classification of TM syndromes often relies on subjective clinical experience. This study utilizes Latent Tree Models (LTMs), a sophisticated probabilistic graphical model, to objectively identify the distribution and characteristics of TM syndromes in men with OAT.
-
Phase 1: Literature-Based Framework Development The study begins with a systematic survey of classical and modern TM literature published between July 2025 and October 2025.
- Source Selection: Literature includes classical texts recognized by the WHO/WPRO, textbooks from major medical universities in Vietnam and China, and expert consensus from Traditional Medicine associations.
- Survey Tool Construction: Symptoms and syndromes related to male infertility are extracted and tabulated. Symptoms with a frequency of higher 30% in the literature are selected to build the formal clinical survey questionnaire.
- Standardization: All Traditional Medicine terms are standardized according to WHO international terminologies.
-
Phase 2: Clinical Implementation and Data Collection Clinical data will be collected at the Department of Andrology, Binh Dan Hospital, from November 2025 to August 2026.
Clinical Screening: Patients are first diagnosed with OAT by an andrologist based on the WHO Laboratory Manual (6th Edition).
Traditional Examination: Eligible participants undergo a non-invasive TM examination, including the "Four Examinations" (observation, listening/smelling, inquiring, and palpation).
Symptom Mapping: Symptoms are recorded as binary variables (presence or absence) to facilitate mathematical modeling.
*Statistical Analysis Using Latent Tree Models (LTMs) The core analysis employs the Lantern 5.0 software to discover the hidden (latent) structure of TM syndromes.
- Structure Learning: The Extension-Adjustment-Simplify-Transfer (EAST) algorithm is used to automatically group symptoms that frequently co-occur or are mutually exclusive.
- Parameter Estimation: The Expectation-Maximization (EM) algorithm estimates the probability of each patient belonging to a specific latent syndrome class.
- Syndrome Identification: Latent variables are interpreted and named as TM syndromes based on the symptoms that provide at least 95% Cumulative Mutual Information (CMI).
- Classification Algorithm: The study establishes a scoring threshold for each syndrome based on Naïve Bayes principles, allowing for a quantitative diagnosis of TM patterns in the OAT population.
Tipo de estudio
Tipo de estudio
Inscripción (Actual)
Inscripción
Contactos y Ubicaciones
Ubicaciones de estudio
-
-
Ho Chi Minh City
-
Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Binh Dan Hospital
-
-
Criterios de participación
Criterio de elegibilidad
Criterio de elegibilidad
Edades elegibles para estudiar
Acepta Voluntarios Saludables
Géneros elegibles para el estudio
Método de muestreo
Población de estudio
The study population is a clinical cohort of men aged 18 to 60 years who seek medical consultation or treatment for reproductive health issues at the Department of Andrology, Binh Dan Hospital, Ho Chi Minh City. The specific population focuses on individuals diagnosed with male infertility and Oligoasthenoteratozoospermia (OAT) syndrome, characterized by a concurrent reduction in sperm count, motility, and normal morphology according to the World Health Organization (WHO) standards .
Descripción
Inclusion Criteria:
- Male patients aged between 18 and 60 years.
- Diagnosed with male infertility by an andrology specialist according to World Health Organization (WHO) standards.
- Semen analysis results meet the diagnostic criteria for Oligoasthenoteratozoospermia (OAT) syndrome.
- Voluntary agreement to participate in the research and signed Informed Consent Form.
Exclusion Criteria:
- Infertility caused by genetic or chromosomal abnormalities, including but not limited to: Klinefelter syndrome, Sandberg mosaic syndrome (46 XY/47 XXY), or XYY syndrome.
- Presence of structural abnormalities of the reproductive organs.
- Patients with Azoospermia (absence of sperm in the ejaculate) as defined by WHO 2021 standards.
- Use of medications affecting spermatogenesis within the last 3 months, including: cannabinoids, hydantoins, valproate, anabolic steroids, cimetidine, colchicine, spironolactone, nitrofurantoin, sulfasalazine, or calcium channel blockers.
- Inability to understand or answer survey questions due to physical or mental limitations (e.g., mutism, deafness, intellectual disability, coma, or being on a ventilator in the ICU).
- Lack of cooperation during the clinical examination and interview process.
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
- Modelos observacionales: CASE_ONLY
- Perspectivas temporales: CROSS_SECTIONAL
Número de grupos/cohortes
Cohortes e Intervenciones
Grupo / CohorteGrupo / Cohorte |
|---|
|
Male Infertility Patients with OAT Syndrome
|
¿Qué mide el estudio?
Medidas de resultado primarias
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
|
Classification of Traditional Medicine Syndromes
Periodo de tiempo: At the time of enrollment in the study
|
The identification and classification of male infertility patients with Oligo-Astheno-Teratozoospermia into distinct TCM syndrome subtypes using the Latent Tree Model (LTM) and the Extension-Adjustment-Simplify-Transfer (EAST) algorithm. The analysis uses clinical symptoms and signs as features to cluster patients into groups. |
At the time of enrollment in the study
|
Medidas de resultado secundarias
Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
|
Prevalence of Traditional Medicine Syndrome Subtypes
Periodo de tiempo: At the time of enrollment
|
The percentage distribution of each identified subtype within the study population. |
At the time of enrollment
|
|
Statistical Characteristics of Clinical Symptoms per Syndrome
Periodo de tiempo: At the time of enrollment
|
The occurrence probabilities of clinical indicators within each identified cluster. This provides quantitative evidence for the symptom profiles that define each syndrome. |
At the time of enrollment
|
Colaboradores e Investigadores
Patrocinador
Patrocinador
Investigadores
Investigadores
- Silla de estudio: Thi-Bay Nguyen, PhD, University of Medicine and Pharmacy at Ho Chi Minh City
- Director de estudio: Minh-Man Pham Bui, PhD, University of Medicine and Pharmacy at Ho Chi Minh City
- Director de estudio: Tien-Dung Ba Mai, PhD, Binh Dan Hospital
- Director de estudio: Kim-Oanh Thi Ngo, University of Medicine and Pharmacy at Ho Chi Minh City
- Investigador principal: Dai-Nhan Tran, Medical Doctor, University of Medicine and Pharmacy at Ho Chi Minh City
Publicaciones y enlaces útiles
Publicaciones Generales
- Zhang NL, Yuan S, Chen T, Wang Y. Latent tree models and diagnosis in traditional Chinese medicine. Artif Intell Med. 2008 Mar;42(3):229-45. doi: 10.1016/j.artmed.2007.10.004. Epub 2007 Dec 21.
- Lu JC, Huang YF, Lu NQ. [WHO Laboratory Manual for the Examination and Processing of Human Semen: its applicability to andrology laboratories in China]. Zhonghua Nan Ke Xue. 2010 Oct;16(10):867-71. Chinese.
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Actual)
Inicio del estudio
Finalización primaria (Actual)
Finalización primaria
Finalización del estudio (Actual)
Finalización del estudio
Fechas de registro del estudio
Enviado por primera vez
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Actual)
Publicado por primera vez
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización publicada
Última actualización enviada que cumplió con los criterios de control de calidad
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Última verificación
Más información
Términos relacionados con este estudio
Palabras clave
Términos MeSH relevantes adicionales
Otros números de identificación del estudio
Otros números de identificación del estudio
- 146/DHYD-HDDD
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
Descripción del plan IPD
Individual participant data that underlie the results reported in this study, after de-identification (including semen analysis parameters and Traditional Medicine clinical symptoms), will be shared with researchers who provide a methodologically sound proposal. The data will be available for the purpose of conducting meta-analysis or validating the Latent Tree Model (LTM) findings. Proposals should be directed to the Principal Investigator at nhantd97@gmail.com . To gain access, data requestors will need to sign a data access agreement and obtain approval from the study's scientific committee.
Marco de tiempo para compartir IPD
Beginning 6 months after publication and ending 3 years after publication.
Criterios de acceso compartido de IPD
Requests should be directed to nhantd97@gmail.com . To gain access, data requestors will need to sign a data access agreement.
Tipo de información de apoyo para compartir IPD
- PROTOCOLO DE ESTUDIO
- SAVIA
- CIF
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .