NCT07180966

Brief Summary

This study develops the Surgical Assessment and Healthcare (SAH) Index, a new tool to fairly evaluate gastric cancer surgery outcomes. Gastric cancer is a serious disease that often requires major surgery, but it can be difficult to compare how well different hospitals or surgeons perform because patients have different levels of risk before surgery. The SAH Index will help solve this problem by creating a standardized way to account for patient risk factors when evaluating surgical results. The study analyzes data from 780 patients who had gastric cancer surgery in 2019, looking at factors like patient age, tumor characteristics, molecular markers, and surgical outcomes. By combining clinical information (like patient health), pathological details (like tumor type), and molecular features (like genetic markers), the SAH Index will create risk categories that allow fair comparison of surgical outcomes. This tool could help hospitals improve their care, help patients and families understand their treatment options, and help doctors make better treatment decisions. The study uses only existing medical records and does not involve any new treatments or procedures. The goal is to create a practical tool that can be used by hospitals and doctors to better evaluate and improve gastric cancer surgery outcomes.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
780

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Sep 2025

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

September 12, 2025

Completed
Same day until next milestone

Study Start

First participant enrolled

September 12, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

September 18, 2025

Completed
13 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2025

Completed
Last Updated

September 18, 2025

Status Verified

September 1, 2025

Enrollment Period

19 days

First QC Date

September 12, 2025

Last Update Submit

September 12, 2025

Conditions

Keywords

SAH Index; Risk adjustment; Gastric cancer surgery;Prognostic model; Surgical outcomes;Molecular biomarkers; HER2; Microsatellite instability; Mismatch repair;Risk stratification; Quality assessment; Postoperative complications; Overall survival;TNM staging; Lauren classification; Cox regression; Predictive modeling; Healthcare quality; Surgical evaluation; Risk prediction

Outcome Measures

Primary Outcomes (1)

  • Development of SAH Index for Risk-Adjusted Gastric Cancer Surgical Evaluation

    Development and internal validation of the Surgical Assessment and Healthcare (SAH) Index incorporating clinical, pathological, and molecular factors to predict surgical outcomes in gastric cancer patients. Performance assessed by discrimination (C-statistic), calibration (Hosmer-Lemeshow test), and risk stratification accuracy.

    5 years post-surgery

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Consecutive patients who underwent surgical resection for gastric adenocarcinoma in 2019. The cohort represents a real-world surgical population with complete clinical, pathological, and molecular characterization including TNM staging, Lauren classification, and biomarker status (HER2, MSI, MMR). Patients span all age groups, tumor stages, and surgical approaches, providing a representative sample for SAH Index development and validation. Long-term follow-up data available for survival and complication analysis. This describes your 780-patient cohort while staying under character limits and highlighting the comprehensive nature of your dataset.

You may qualify if:

  • Age: 18 years and older Diagnosis: Histologically confirmed gastric adenocarcinoma Treatment: Underwent surgical resection in 2019 Data availability: Complete clinical, pathological, and molecular marker data Follow-up: Minimum 6 months post-operative follow-up data available

You may not qualify if:

  • Histology: Non-adenocarcinoma gastric tumors Surgery type: Emergency surgery or palliative procedures only Data quality: Missing essential clinical, pathological, or molecular data required for SAH Index development Follow-up: Lost to follow-up within 30 days post-surgery

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Ruijin Hospital Shanghai Jiaotong University School of Medicine

Shanghai, Shanghai Municipality, 200025, China

Location

MeSH Terms

Conditions

Stomach NeoplasmsMicrosatellite InstabilityPostoperative Complications

Condition Hierarchy (Ancestors)

Gastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesStomach DiseasesGenomic InstabilityPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
RESEARCH SCIENTIST

Study Record Dates

First Submitted

September 12, 2025

First Posted

September 18, 2025

Study Start

September 12, 2025

Primary Completion

October 1, 2025

Study Completion

October 1, 2025

Last Updated

September 18, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will not share

Individual patient data will not be shared to protect patient privacy and comply with institutional data governance policies. The study involves retrospective analysis of clinical records containing sensitive medical information. De-identified aggregate results and statistical findings will be published to contribute to scientific knowledge while maintaining patient confidentiality.

Locations