the Optimal Surveillance Frequency for Patients With Gastric Neuroendocrine Carcinoma

December 31, 2022 updated by: Chang-Ming Huang, Prof., Fujian Medical University

A Multi-institution Real-world Study of the Optimal Surveillance Frequency for Patients With Gastric Neuroendocrine Carcinoma

Due to lacking of evidence on surveillance for gastric neuroendocrine carcinoma (G-NEC), this study aimed to determine the optimal postsurgical surveillance strategy for G-NEC patients and compare its cost-effectiveness with traditional surveillance strategies.

Study Overview

Status

Completed

Detailed Description

The development of existing follow-up strategies is mainly based on experts' consensus and researches on recurrence patterns due to the lack of direct evidence and unified standards. On the one hand, it is unreasonable to carry out the same postoperative surveillance for all G-NEC patients. In addition to the early detection of recurrence, the optimal follow-up strategy should also balance cost and effectiveness. There were no criteria for the arrangement of follow-up in different guidelines, and the optimal postoperative follow-up strategy for patients with G-NEC remains unclear. Patients with G-NEC from 21 centers in China were included. Cost-effectiveness were assessed by Markov model.

Study Type

Observational

Enrollment (Actual)

801

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Fujian
      • Fuzhou, Fujian, China, 350001
        • Chang-ming Huang

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

A total of 801 G-NEC patients from 21 centers in China were included.

Description

Inclusion Criteria:This multicentre retrospective study included patients with gastric neuroendocrine neoplasms who underwent surgery in 21 centres of the Study Group for Gastric Neuroendocrine Tumours in China from January 2008 to December 2016. Radical surgery included a D2 lymphadenectomy consistent with the Japanese gastric cancer treatment guidelines.

Exclusion Criteria: Patients with tumours of unknown pathology (only neuroendocrine neoplasms recorded without detailed information); patients with gastric NETs; patients who had endoscopic submucosal dissection or endoscopic mucosal resection; patients who received neoadjuvant chemotherapy; patients who died within 3 months of surgery from postoperative complications; and patients with unknown tumour size or who were lost to follow-up

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

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
recurrence rate
Time Frame: 60 months
distant, peritoneal, and local recurrence
60 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Delayed-detection months
Time Frame: 60 months
A hypothetical cohort of 1000 G-NEC patients was generated to compare the effectiveness of surveillance among the above-mentioned strategies by calculating the sum of the delayed detection months. Delayed detection months were defined as the duration from the occurrence of failure to the next-nearest follow-up. For instance, if a patient develops distant metastasis in the 3rd month while the next nearest planned visit is in the 5th month, the delayed -detection time for this patient is 2 months. The total number of delayed detection months of our risk-based surveillance schedule and that of the control strategies were simulated and compared.
60 months
Incremental cost-effectiveness ratios (ICERs)
Time Frame: 60 months
ICERs were calculated by dividing the difference in cost by the difference in QALY
60 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Chang-ming Huang, MD, Fujian Medical University Union Hospital

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, 2008

Primary Completion (Actual)

December 1, 2016

Study Completion (Actual)

December 15, 2022

Study Registration Dates

First Submitted

December 31, 2022

First Submitted That Met QC Criteria

December 31, 2022

First Posted (Estimate)

January 4, 2023

Study Record Updates

Last Update Posted (Estimate)

January 4, 2023

Last Update Submitted That Met QC Criteria

December 31, 2022

Last Verified

December 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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