Application of Machine Learning Algorithms to Identify Optimal Candidates for Primary Tumor Resection in Patients with Metastatic Non-small Cell Neuroendocrine Tumors (MLA-MNSCLCNET)

September 30, 2024 updated by: Hongquan Xing

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

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.

Study Overview

Status

Completed

Conditions

Lung Cancer - Non Small Cell

Intervention / Treatment

Procedure: Surgery

Detailed Description

This study utilized publicly available data from the SEER (Surveillance, Epidemiology, and End Results) database, which is a comprehensive source of information on cancer statistics in the United States. The authors did not need to obtain informed consent from individuals whose cases are registered in the SEER database because the data is anonymized and is meant for public use. Instead, the authors acquired Limited-Use Data Agreements with SEER, which are legal contracts that allow researchers to access and use specific datasets under certain conditions while ensuring that the privacy of the individuals in the database is maintained. This agreement outlines the terms of data use, ensuring that the researchers adhere to guidelines for the ethical handling of data while still enabling them to conduct their research.

Study Type

Observational

Enrollment (Actual)

1776

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

Adult
Older Adult

Accepts Healthy Volunteers

Sampling Method

Non-Probability Sample

Study Population

patients with metastatic non-small cell neuroendocrine tumors

Description

Inclusion Criteria:

Pathologic Diagnosis of Non-Small Cell Neuroendocrine Carcinoma
Known Surgical Information

Exclusion Criteria:

Small cell lung cancer
Age less than 18 years

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Overall survival Time Frame: The estimated time period for assessing events was January 2000 through December 2021. It is the time from random assignment to death from any cause (last follow-up for lost patients; end of follow-up for patients still alive at the end of the study).	Overall survival refers to the duration of time from the start of diagnosis until death from any cause. It is a common endpoint used in clinical trials and medical research, particularly in oncology, to measure the effectiveness of a treatment or intervention. Overall survival provides a comprehensive picture of how well patients are doing and is often expressed as a percentage or a median time (e.g., the median overall survival time).	The estimated time period for assessing events was January 2000 through December 2021. It is the time from random assignment to death from any cause (last follow-up for lost patients; end of follow-up for patients still alive at the end of the study).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Hongquan Xing

Collaborators

Second Affiliated Hospital of Nanchang University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2000

Primary Completion (Actual)

December 31, 2021

Study Completion (Actual)

May 31, 2024

Study Registration Dates

First Submitted

September 27, 2024

First Submitted That Met QC Criteria

September 30, 2024

First Posted (Actual)

October 1, 2024

Study Record Updates

Last Update Posted (Actual)