- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07529288
Evaluating Traditional Medicine Syndromes in Male Infertility With Oligoasthenoteratozoospermia
Characterization of Traditional Medicine Syndromes in Male Infertility With Oligoasthenoteratozoospermia Via Latent Tree Models
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.
Study Overview
Status
Conditions
Detailed Description
- 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.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Minh-Man Pham Bui, PhD
- Phone Number: +84916080803
- Email: bpmman@uhsvnu.edu.vn
Study Contact Backup
- Name: Dai-Nhan Tran, Medical Doctor
- Phone Number: +84773478145
- Email: nhantd97@gmail.com
Study Locations
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Ho Chi Minh City
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Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Recruiting
- Binh Dan Hospital
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Contact:
- Dai-Nhan Tran, Medical Doctor
- Phone Number: +84773478145
- Email: nhantd97@gmail.com
-
Contact:
- Tien-Dung Mai Ba, PhD
- Phone Number: +84913809110
- Email: maibatiendung@yahoo.com
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Principal Investigator:
- Dai-Nhan Tran, Medical Doctor
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Male Infertility Patients with OAT Syndrome
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Classification of Traditional Medicine Syndromes
Time Frame: 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
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prevalence of Traditional Medicine Syndrome Subtypes
Time Frame: At the time of enrollment
|
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
Time Frame: 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
|
Collaborators and Investigators
Investigators
- Study Chair: Thi-Bay Nguyen, PhD, University of Medicine and Pharmacy at Ho Chi Minh City
- Study Director: Minh-Man Pham Bui, PhD, University of Medicine and Pharmacy at Ho Chi Minh City
- Study Director: Tien-Dung Ba Mai, PhD, Binh Dan Hospital
- Study Director: Kim-Oanh Thi Ngo, University of Medicine and Pharmacy at Ho Chi Minh City
- Principal Investigator: Dai-Nhan Tran, Medical Doctor, University of Medicine and Pharmacy at Ho Chi Minh City
Publications and helpful links
General Publications
- 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.
- WHO laboratory manual for the examination and processing of human semen, 6th ed
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 146/DHYD-HDDD
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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