A Nomogram Model to Predict Central Lymphnode Metastasis in Thyroid Papillary Carcinoma
1 other identifier
observational
1,200
1 country
1
Brief Summary
To establish and validate a suitable and practical nomogram for primary hospitals to predict the risk of central lymph node metastasis (CLNM) among thyroid papillary carcinoma (PTC) patients based on clinical and ultrasound characteristics among Chinese population,1000 PTC patients were retrospectively reviewed who underwent bilateral thyroidectomy or lobectomy plus central lymph node dissection(CLND) between June 2014 and September 2019 in Sun Yat-sen Memorial Hospital (Guangzhou, South China), and then LASSO regression analysis was performed to screen out the possible predictors. Another 200 PTC patients from the First Affiliated Hospital of Zhengzhou University (Zhengzhou, North China) who underwent bilateral thyroidectomy or lobectomy plus CLND between March 2019 and November 2020 were enrolled to construct the nomogram. The area under the receiver operating characteristic (ROC) curves (AUC), calibration curves and decision curve analysis (DCA) were used to evaluate the nomogram.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2021
CompletedFirst Submitted
Initial submission to the registry
November 17, 2021
CompletedFirst Posted
Study publicly available on registry
January 14, 2022
CompletedJanuary 14, 2022
December 1, 2021
1 year
November 17, 2021
December 29, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Multivariate logistic regression analysis
Multivariate logistic regression analysis were conducted to determine the potential nonlinear association between predictors and and the risk of CLNM.
1day
Study Arms (2)
female group
all are female
male group
all are male
Interventions
Nine preoperative predictors were identified for the nomogram: gender, age, platelet counts, TPOAb level and US signatures including maximum diameter, boundary, component, calcification and cervical lymph node enlargement.
Eligibility Criteria
Patients who underwent total thyroidectomy or lobectomy and were diagnosed as PTC by pathological examination in Sun Yat-sen Memorial Hospital (Guangzhou, South China) and in the First Affiliated Hospital of Zhengzhou University (Zhengzhou, North China) .
You may qualify if:
- underwent TC operation for the first time
- confirmed as PTC by postoperative pathological examination
- underwent ipsilateral or bilateral CLND
You may not qualify if:
- complicated with other subtypes of TC or thyroid metastatic cancer
- received preoperative interventional therapy (such as radiofrequency and microwave therapy) or head and neck radiotherapy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Sun Yat-sen Memorial Hospital of Sun Yat-Sen University
Guangzhou, Guangdong, China
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
mingtong xu, professor
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 17, 2021
First Posted
January 14, 2022
Study Start
January 1, 2020
Primary Completion
January 1, 2021
Study Completion
August 1, 2021
Last Updated
January 14, 2022
Record last verified: 2021-12
Data Sharing
- IPD Sharing
- Will not share