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Development and Validation of a Biopsy Decision Model for Nasopharyngeal Carcinoma Based on Serological Markers and Endoscopic Features

NCT07918755, Not yet recruiting, Zhongshan People's Hospital, Guangdong, China

Trial 9

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

FieldValueSource
TitleDevelopment and Validation of a Biopsy Decision Model for Nasopharyngeal Carcinoma Based on Serological Markers and Endoscopic FeaturesClinicalTrials.gov
NCT numberNCT07918755ClinicalTrials.gov
StatusNot yet recruitingClinicalTrials.gov
Enrollment1,500 participants, estimatedClinicalTrials.gov
Lead sponsorZhongshan People's Hospital, Guangdong, ChinaClinicalTrials.gov
ConditionsNasopharyngeal Carcinoma (NPC)ClinicalTrials.gov
InterventionsAssessment of EBV-related blood biomarkers and nasopharyngeal endoscopic scoresClinicalTrials.gov
First posted2026-11-05ClinicalTrials.gov
Last updated2026-11-05ClinicalTrials.gov

Registered outcomes 10

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

ListOutcomeTime frameDescriptionSource
PrimarySensitivity of serological, endoscopic, and combined models at prespecified risk thresholdsBaseline
Sensitivity and corresponding 95% confidence intervals will be assessed and compared across models based on EBV-related blood biomarkers alone, nasopharyngeal endoscopic scores alone, and their combination at prespecified risk thresholds, separately in the internal validation cohort and the prospective external validation cohort, using nasopharyngeal biopsy histopathology as the reference standard.
ClinicalTrials.gov
PrimarySpecificity of serological, endoscopic, and combined models at prespecified risk thresholdsBaseline
Specificity and corresponding 95% confidence intervals will be assessed and compared across models based on EBV-related blood biomarkers alone, nasopharyngeal endoscopic scores alone, and their combination at prespecified risk thresholds, separately in the internal validation cohort and the prospective external validation cohort, using nasopharyngeal biopsy histopathology as the reference standard.
ClinicalTrials.gov
SecondaryArea under the receiver operating characteristic curve (AUC) of serological, endoscopic, and combined modelsBaseline
AUCs and corresponding 95% confidence intervals will be assessed and compared across models based on EBV-related blood biomarkers alone, nasopharyngeal endoscopic scores alone, and their combination, separately in the internal validation cohort and the prospective external validation cohort, using nasopharyngeal biopsy histopathology as the reference standard.
ClinicalTrials.gov
SecondaryCalibration intercept of serological, endoscopic, and combined modelsBaseline
The calibration intercept will be calculated for each model using predicted probabilities and histopathological diagnoses, separately in the internal validation cohort and the prospective external validation cohort. An intercept of 0 indicates ideal calibration in this respect.
ClinicalTrials.gov
SecondaryCalibration slope of serological, endoscopic, and combined modelsBaseline
The calibration slope will be calculated for each model using predicted probabilities and histopathological diagnoses, separately in the internal validation cohort and the prospective external validation cohort. A slope of 1 indicates ideal calibration in this respect.
ClinicalTrials.gov
SecondaryBrier score of serological, endoscopic, and combined modelsBaseline
The Brier score will be calculated for each model as the mean squared difference between predicted probabilities and histopathological outcomes, coded as 1 for nasopharyngeal carcinoma and 0 otherwise, separately in the internal validation cohort and the prospective external validation cohort. Scores range from 0 to 1, with lower scores indicating better overall predictive accuracy.
ClinicalTrials.gov
SecondaryPositive predictive value of serological, endoscopic, and combined models at prespecified risk thresholdsBaseline
Positive predictive values and corresponding 95% confidence intervals will be calculated for each model at prespecified risk thresholds, separately in the internal validation cohort and the prospective external validation cohort, using nasopharyngeal biopsy histopathology as the reference standard.
ClinicalTrials.gov
SecondaryNegative predictive value of serological, endoscopic, and combined models at prespecified risk thresholdsBaseline
Negative predictive values and corresponding 95% confidence intervals will be calculated for each model at prespecified risk thresholds, separately in the internal validation cohort and the prospective external validation cohort, using nasopharyngeal biopsy histopathology as the reference standard.
ClinicalTrials.gov
SecondaryNet benefit of model-based biopsy strategiesBaseline
Decision curve analysis will be used to assess and compare the net benefit of biopsy strategies based on serological, endoscopic, and combined models with biopsy-all and biopsy-none strategies across risk thresholds, separately in the internal validation cohort and the prospective external validation cohort, using nasopharyngeal biopsy histopathology as the reference standard.
ClinicalTrials.gov
SecondaryPotential percentage of biopsies avoided using model-based strategies at prespecified risk thresholdsBaseline
For each serological, endoscopic, and combined model, the potential percentage of biopsies avoided will be calculated as the percentage of all evaluated participants undergoing biopsy whose predicted risk is below the prespecified threshold. This represents the potential reduction in biopsies relative to a biopsy-all strategy and will be assessed separately in the internal validation cohort and the prospective external validation cohort.
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)