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CompletedNCT07529288Updated Sep 23, 2026

Evaluating Traditional Medicine Syndromes in Male Infertility With Oligoasthenoteratozoospermia

An observational study in Male Infertility With OAT, sponsored by University of Medicine and Pharmacy at Ho Chi Minh City. Completed at 1 site in Vietnam. Open to male participants aged 18 Years to 60 Years. Per ClinicalTrials.gov, last updated 2026-09-23.

Primary conditionOligospermiaRegistry: Infertility, MaleReclassifiedWhy we changed it
Registry
Infertility, Male — the first condition term the registry derived for this study.
ClinicalTrials.gg
Oligospermia
Why
  1. The study's title name Oligospermia, a narrower term within Infertility, Male.
Confidence
High: the new condition is named in the study's own title. Of 46 hand-checked studies reclassified this way, 72% were exactly right and 89% in the right disease family; the registry's first term was right for 4% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by University of Medicine and Pharmacy at Ho Chi Minh City · Observational

Study type
Observational
Model
Case-only
Time perspective
Cross-sectional
Enrollment
316
Ages
18 Years to 60 Years
Sex
Male
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Study summary

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.
Read the 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.
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Conditions studied

  • Male Infertility With OAT

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Keywords

  • Traditional Medicine Pattern
  • OAT
  • Male Infertility
  • Oligoasthenoteratozoospermia
03

In context

Oligospermia Reclassified

64 studies on the registry are indexed under Oligospermia; 17 are open to participants now.

This study's enrollment of 316 is close to the median of 300 across 17 observational studies indexed under Oligospermia.

Browse Oligospermia studies →

Lead sponsor

University of Medicine and Pharmacy at Ho Chi Minh City is the lead sponsor of 127 studies on the registry; 44 are open to participants now.

Compared within Oligospermia, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Infertility, Male. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years to 60 Years
Sexes eligible
Male
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 .

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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 Form.

Exclusion criteria

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.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Case-only
Time perspective
Cross-sectional
Enrollment
316 participants (actual)
Patient registry
No

Groups and cohorts

  • 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.

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What researchers measure

Primary outcomes

  1. Classification of Traditional Medicine Syndromes

    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.

    Time frame: At the time of enrollment in the study

Secondary outcomes

  1. Prevalence of Traditional Medicine Syndrome Subtypes

    The percentage distribution of each identified subtype within the study population.

    Time frame: At the time of enrollment

  2. Statistical Characteristics of Clinical Symptoms per Syndrome

    The occurrence probabilities of clinical indicators within each identified cluster. This provides quantitative evidence for the symptom profiles that define each syndrome.

    Time frame: At the time of enrollment

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Study locations

1 site
  • Binh Dan Hospital
    Ho Chi Minh City, Ho Chi Minh City, Vietnam
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References and documents

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. PubMed 18096374 ↗
  • 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. PubMed 21243747 ↗

Individual participant data

Plan to share: Yes — 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.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: Beginning 6 months after publication and ending 3 years after publication.

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

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 23, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07529288
Responsible party
Bui Pham Minh Man (Investigator, University of Medicine and Pharmacy at Ho Chi Minh City) — Principal investigator
First posted
Apr 14, 2026
Start date
Mar 1, 2026
Primary completion
Jul 23, 2026
Completion
Jul 23, 2026
Last update
Sep 23, 2026

Study contacts

Thi-Bay Nguyen, PhD
study chair · University of Medicine and Pharmacy at Ho Chi Minh City
Minh-Man Pham Bui, PhD
study director · University of Medicine and Pharmacy at Ho Chi Minh City
Tien-Dung Ba Mai, PhD
study director · Binh Dan Hospital
Kim-Oanh Thi Ngo
study director · University of Medicine and Pharmacy at Ho Chi Minh City
Dai-Nhan Tran, Medical Doctor
principal investigator · University of Medicine and Pharmacy at Ho Chi Minh City

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.

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