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The Value of LC-MS/MS Detection of Androgen Profiles in the Diagnosis of PCOS: A Prospective, Multicenter Real-world Study

NCT07916909, Recruiting, Women's Hospital School Of Medicine Zhejiang University

Trial 9

As registered on ClinicalTrials.gov, in the graph's capture of the registry.

FieldValueSource
TitleThe Value of LC-MS/MS Detection of Androgen Profiles in the Diagnosis of PCOS: A Prospective, Multicenter Real-world StudyClinicalTrials.gov
NCT numberNCT07916909ClinicalTrials.gov
StatusRecruitingClinicalTrials.gov
Enrollment1,500 participants, estimatedClinicalTrials.gov
Lead sponsorWomen's Hospital School Of Medicine Zhejiang UniversityClinicalTrials.gov
ConditionsPolycystic Ovary Syndrome (PCOS)ClinicalTrials.gov
InterventionsNo Intervention: Observational Cohort, No Intervention: Observational Cohort, No Intervention: Observational CohortClinicalTrials.gov
First posted2026-11-04ClinicalTrials.gov
Last updated2026-11-04ClinicalTrials.gov

Registered outcomes 2

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescriptionSource
PrimaryArea Under the ROC Curve (AUC) of LC-MS/MS-derived Androgen Profiles for the Diagnosis of Polycystic Ovary Syndrome (PCOS)Measured at baseline (at the time of study enrollment)
The diagnostic accuracy of a panel of androgen profiles measured by liquid chromatography-tandem mass spectrometry (LC-MS/MS) will be evaluated. The reference standard for PCOS diagnosis is based on the Rotterdam criteria, which require at least two of the following three features after excluding other endocrine disorders: 1) oligo-ovulation or anovulation, 2) clinical and/or biochemical hyperandrogenism, and 3) polycystic ovarian morphology on ultrasound. The primary analysis will calculate the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and optimal cut-off values for specific androgens determined by the Youden index will also be reported. A higher AUC indicates better discriminative ability for distinguishing PCOS from non-PCOS controls.
ClinicalTrials.gov
PrimaryArea Under the ROC Curve (AUC) of LC-MS/MS-derived Androgen Profiles for the Diagnosis of Polycystic Ovary Syndrome (PCOS)Measured at baseline (at the time of study enrollment)ClinicalTrials.gov

Outcomes 0

Each outcome the trial posted results for, in ClinicalTrials.gov's words.

TypeOutcomeTime framePopulationUnitsMeasured asSource

Results by group 0

Each measurement the trial posted, group by group, in the words and numbers it posted.

OutcomeGroupCategoryValueSpreadUnitsSource

Participant flow 0

How many started, completed or left each group, period by period.

PeriodMilestoneGroupParticipantsUnits countedSource

Adverse events 0

Each adverse event the trial posted, group by group: the participants affected out of those at risk.

TypeEventOrgan systemGroupAffectedAt riskEventsSource

Adverse event totals 0

The totals the trial posted for each group.

TotalGroupAffectedAt riskSource

Papers 0

The papers the trial lists on ClinicalTrials.gov.

PMIDListed asSource

Grants 0

The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.

ProjectTitlePrincipal investigatorsOrganizationFunderFiscal yearsSource

Trial comparisons 0

Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.

ComparisonSource

Tests 0

The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.

TestNamed asSource

Source 5

FieldValueSource
Releasetrials-2026-11-12-0.4.0ClinicalTrials.gov
Release manifest SHA-2560f4a8d8c48aee2a7573ae0fa94ecbeab70c1adbe449bbc95c424bc7d3e97b9d4ClinicalTrials.gov
Registry capture2026-11-12ClinicalTrials.gov
Results copy, AACT2026-03-23ClinicalTrials.gov
NIH clinical studies file2026-11-13ClinicalTrials.gov

The same record as JSON

Release trials-2026-11-12-0.4.0

ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

NIH RePORTER's clinical studies and project files: Public domain (NIH RePORTER)