the Optimal Surveillance Frequency for Stage II/III Gastric Cancer

Gastric Cancer Clinical Trial

Official title:

An International Multi-institution Real-world Study of the Optimal Surveillance Frequency for Stage II/III Gastric Cancer

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05465993
• Other study ID #: GCFU-01
• Status: Completed
• Start date: July 1, 2017
• Est. completion date: July 15, 2022

Study information

• Verified date: July 2022
• Source: Fujian Medical University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Due to lacking of evidence on surveillance for gastric cancer (GC), this study aimed to determine the optimal postsurgical surveillance strategy for stage II/III GC patients and compare its cost-effectiveness with traditional surveillance strategies.

Description:

Background 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 postsurgical surveillance for all stage II/III GC patients. Additionally, 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 stage II/III GC remains unclear.

Methods Prospectively collected data from stage II/III GC patients (n=1,661) who underwent gastrectomy at Fujian Medical University Union Hospital (FJMUUH) between January 2010 and October 2015. For external validation, two independent cohorts were included, which were composed of 380 stage II/III GC patients who underwent gastrectomy at the Mayo Clinic between July 1991 and July 2012 and 270 stage II/III GC patients at the Qinghai university affiliated hospital (QUAH) between May 2010 and Oct 2014. Random survival forest models were used to predict dynamic recurrence hazards and to construct individual surveillance strategies for stage II/III GC. Cost-effectiveness were assessed by Markov model.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 2311
• Est. completion date: July 15, 2022
• Est. primary completion date: October 1, 2019
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• (1) Eastern Cooperative Oncology Group (ECOG) scores of 0 (asymptomatic) or 1 (symptomatic but completely ambulatory); (2) pathologically confirmed AGC (pStage II and III, except pT4b); (3) no distant metastasis or invasion of adjacent organs (e.g., pancreas, spleen, liver, and colon) detected intra- or post-operatively; and (4) D2 lymph node dissection of gastric cancer.

Exclusion Criteria:

• (1) American Society of Anesthesiologists (ASA) grade >2; (2) remnant gastric or neuroendocrine cancer; (3) history of neoadjuvant chemotherapy; (4) palliative surgery; and (5) death within 30 days after surgery.

Related Conditions & MeSH terms

• Gastric Cancer
• Stomach Neoplasms

Locations

Country	Name	City	State
China	Department of Gastric Surgery	Fuzhou	Fujian

Sponsors (1)

Lead Sponsor	Collaborator
Fujian Medical University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	recurrence rate	distant, peritoneal, and local recurrence	5 years
Secondary	Delayed-detection months	A hypothetical cohort of 1000 GC 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.	5 years
Secondary	Incremental cost-effectiveness ratios (ICERs)	incremental cost-effectiveness ratios (ICERs) were calculated by dividing the difference in cost by the difference in QALY.	5 years