Evaluating Traditional Medicine Syndromes in Male Infertility With Oligoasthenoteratozoospermia

April 9, 2026 updated by: Bui Pham Minh Man, University of Medicine and Pharmacy at Ho Chi Minh City

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

Recruiting

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

Observational

Enrollment (Estimated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Dai-Nhan Tran, Medical Doctor
  • Phone Number: +84773478145
  • Email: nhantd97@gmail.com

Study Locations

    • Ho Chi Minh City
      • Ho Chi Minh City, Ho Chi Minh City, Vietnam
        • Recruiting
        • Binh Dan Hospital
        • Contact:
        • Contact:
        • Principal Investigator:
          • Dai-Nhan Tran, Medical Doctor

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

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 .

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Male Infertility Patients with OAT Syndrome
  • Men aged 18 to 60 years who are diagnosed with male infertility and present with Oligoasthenoteratozoospermia (OAT) syndrome. According to the World Health Organization (WHO) standards, OAT is defined by the following concurrent semen parameters:

    • Oligozoospermia: Sperm concentration < 15 million/mL or total sperm count < 39 million.
    • Asthenozoospermia: Progressive motility < 32%.
    • Teratozoospermia: Normal morphology < 4%.
  • Participants are recruited from the Department of Andrology at Binh Dan Hospital, Ho Chi Minh City. The study excludes individuals with:

    • Genetic or chromosomal abnormalities (e.g., Klinefelter syndrome, XYY syndrome).
    • Structural abnormalities of the reproductive organs.
    • Azoospermia (no sperm in the ejaculate).
    • Recent use (within the last 3 months) of medications known to affect spermatogenesis, such as anabolic steroids or certain calcium channel blockers.
    • Inability to communicate or participate in the survey.

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
Statistical Characteristics of Clinical Symptoms per Syndrome
Time Frame: 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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 14, 2026

Primary Completion (Estimated)

August 31, 2026

Study Completion (Estimated)

September 30, 2026

Study Registration Dates

First Submitted

March 28, 2026

First Submitted That Met QC Criteria

April 9, 2026

First Posted (Actual)

April 14, 2026

Study Record Updates

Last Update Posted (Actual)

April 14, 2026

Last Update Submitted That Met QC Criteria

April 9, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

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.

IPD Sharing Time Frame

Beginning 6 months after publication and ending 3 years after publication.

IPD Sharing Access Criteria

Requests should be directed to nhantd97@gmail.com . To gain access, data requestors will need to sign a data access agreement.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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