Influencing Factors and Prediction Model of False-negative Central Lymph Nodes in Thyroid Cancer Patients
NCT ID: NCT06423105
Last Updated: 2024-05-23
Study Results
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Basic Information
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COMPLETED
6369 participants
OBSERVATIONAL
2013-01-01
2024-04-01
Brief Summary
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Detailed Description
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Data Collection After obtaining written consent, we recorded the patient\'s relevant information in detail and followed up on the patient\'s postoperative paraffin pathology results. The collected and organized items included: 1) sex, age, and past medical history; 2) preoperative ultrasound information; 3) preoperative fine-needle biopsy information; 4) surgical information; 5) postoperative pathological information; and 6) immunohistochemical information.
Statistical Analysis This study first analyzed the baseline data of the included patients and obtained descriptive data on the current status of patients with TC. (Table 1) This study also analyzed the efficacy of ultrasound and fine-needle aspiration (FNA) for the evaluation of cervical LN. (Table 2) Subsequently, analysis was conducted on 52 factors that may cause false-negative CLN of TC. (Table 3) A total of 16 statistically significant influencing factors were identified. (Table 4) To construct a predictive model for the occurrence of false-negative CLN of the thyroid gland, we selected five preoperative influencing factors with predictive significance from eight preoperative influencing factors and drew a forest chart for data visualization and outcome prediction.
This study was analyzed using IBM SPSS 29.0 software. Quantitative data are represented by mean ± standard deviation when it follows a normal distribution and homogeneity of variance, and an independent sample t-test is used for comparison between the two groups; the median (P25, P75) is used to represent non-normal distributions, and a non-parametric Mann-Whitney test is used for comparison between the two groups. Qualitative data were expressed as percentages (%), and intergroup comparisons were conducted using the chi-square or Fisher\'s exact test. Variables with statistical significance in the univariate analysis and those professionally considered to have an impact on the outcome were included in the logistic regression model to explore the independent factors influencing the outcome. The test level P was set at 0.05. A forest map was drawn using Graphpad Prism 10.12 software, and a column chart and credibility analysis were drawn using R Studio 4.3 software.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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false negative
This article defines cases that preoperative ultrasound indicates no suspicious malignant enlargement of central lymph nodes and postoperative paraffin pathology indicates the presence of metastatic cancer in central lymph nodes as false-negative cases.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. All clinical data and research materials of the cases are complete.
3. All cases underwent preoperative thyroid and neck lymph node examinations by the Ultrasound Department of Shandong Provincial Hospital.
4. All cases showed no swelling in the central lymph node status on preoperative ultrasound.
5. All cases underwent initial surgical treatment.
6. All cases were diagnosed with thyroid cancer through postoperative pathological examination.
Exclusion Criteria
2. Cases with incomplete clinical data and research materials are excluded.
3. Cases that have not undergone thyroid and neck lymph node examination by the ultrasound department of Shandong Provincial Hospital before surgery are excluded.
4. Cases with enlarged lymph nodes in the central thyroid region indicated by preoperative ultrasound are excluded.
5. Excluding cases of secondary surgery.
6. Cases with postoperative pathological diagnosis of benign thyroid tumors are excluded.
ALL
No
Sponsors
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Shandong University
OTHER
Ningning Ren
OTHER_GOV
Responsible Party
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Ningning Ren
Principal Investigator
Other Identifiers
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NO.SWYX2024-225
Identifier Type: -
Identifier Source: org_study_id
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