NCT06621147Completed
Application of Machine Learning Algorithms to Identify Optimal Candidates for Primary Tumor Resection in Patients with Metastatic Non-small Cell Neuroendocrine Tumors
Application of Machine Learning Algorithms to Identify Optimal Candidates for Primary Tumor Resection in Patients with Metastatic Non-small Cell Neuroendocrine Tumors: Propensity Score Matching
Source: ClinicalTrials.gov · Last updated 1 Oct 2024
Brief summary (registry, in English)
This study was based on public use data from the SEER database. The study did not require informed consent from the SEER registered cases, and the authors obtained Limited-Use Data Agreements from SEER.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 1776 (actual)
- First submitted
- 27 Sept 2024
- Start date
- 1 Jan 2000
- Primary completion date
- 31 Dec 2021
- Lead sponsor
- Hongquan Xing
- Diseases
- Lung cancer
- NCT number
- NCT06621147
What you commit to
- Study type: Observational
- Participants enrolled: 1776
- From 1 Jan 2000 to the primary completion date, 31 Dec 2021
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Small cell lung cancer
Age
- Age less than 18 years
Who the study is looking for
- Pathologic Diagnosis of Non-Small Cell Neuroendocrine Carcinoma
- Known Surgical Information
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.