Avaliação de Síndromes da Medicina Tradicional na Infertilidade Masculina com Oligoasthenoteratozoospermia
Caracterização das Síndromes da Medicina Tradicional na Infertilidade Masculina com Oligoastenoteratozoospermia através de Modelos de Árvores Latentes
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:
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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.
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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.
Visão geral do estudo
Status
Status
Condições
Condições
Descrição detalhada
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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.
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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.
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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 estudo
Tipo de estudo
Inscrição (Real)
Inscrição
Contactos e Locais
Locais de estudo
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Ho Chi Minh City
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Ho Chi Minh City, Ho Chi Minh City, Vietnã
- Binh Dan Hospital
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Critérios de participação
Critérios de elegibilidade
Critérios de elegibilidade
Idades elegíveis para estudo
Aceita Voluntários Saudáveis
Gêneros Elegíveis para o Estudo
Método de amostragem
População do estudo
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 .
Descrição
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.
Plano de estudo
Como o estudo é projetado?
Detalhes do projeto
- Modelos de observação: CASE_ONLY
- Perspectivas de Tempo: CROSS_SECTIONAL
Número de grupos/coortes
Coortes e Intervenções
Grupo / CoorteGrupo / Coorte |
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Male Infertility Patients with OAT Syndrome
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O que o estudo está medindo?
Medidas de resultados primários
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
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Classification of Traditional Medicine Syndromes
Prazo: At the time of enrollment in the study
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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
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Medidas de resultados secundários
Medidas de resultados secundários
Medida de resultado |
Descrição da medida |
Prazo |
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Prevalence of Traditional Medicine Syndrome Subtypes
Prazo: At the time of enrollment
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The percentage distribution of each identified subtype within the study population. |
At the time of enrollment
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Statistical Characteristics of Clinical Symptoms per Syndrome
Prazo: At the time of enrollment
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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
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Colaboradores e Investigadores
Patrocinador
Patrocinador
Investigadores
Investigadores
- Cadeira de estudo: Thi-Bay Nguyen, PhD, University of Medicine and Pharmacy at Ho Chi Minh City
- Diretor de estudo: Minh-Man Pham Bui, PhD, University of Medicine and Pharmacy at Ho Chi Minh City
- Diretor de estudo: Tien-Dung Ba Mai, PhD, Binh Dan Hospital
- Diretor de estudo: 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
Publicações e links úteis
Publicações Gerais
- 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.
Datas de registro do estudo
Datas Principais do Estudo
Início do estudo (Real)
Início do estudo
Conclusão Primária (Real)
Conclusão Primária
Conclusão do estudo (Real)
Conclusão do estudo
Datas de inscrição no estudo
Enviado pela primeira vez
Enviado pela primeira vez
Enviado pela primeira vez que atendeu aos critérios de CQ
Enviado pela primeira vez que atendeu aos critérios de CQ
Primeira postagem (Real)
Primeira postagem
Atualizações de registro de estudo
Última Atualização Postada (Real)
Última Atualização Postada
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última verificação
Última verificação
Mais Informações
Termos relacionados a este estudo
Palavras-chave
Termos MeSH relevantes adicionais
Outros números de identificação do estudo
Outros números de identificação do estudo
- 146/DHYD-HDDD
Plano para dados de participantes individuais (IPD)
Planeja compartilhar dados de participantes individuais (IPD)?
Descrição do plano 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.
Prazo de Compartilhamento de IPD
Beginning 6 months after publication and ending 3 years after publication.
Critérios de acesso de compartilhamento IPD
Requests should be directed to nhantd97@gmail.com . To gain access, data requestors will need to sign a data access agreement.
Tipo de informação de suporte de compartilhamento de IPD
- PROTOCOLO DE ESTUDO
- SEIVA
- CIF
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