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Stomach NeoplasmsNCT06467591

Prediction Model for Advanced Gastric Cancer in Elderly

An observational study of Stomach Neoplasms and Aged, run by Chang-Ming Huang, Prof. at 1 site in China.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

This study aims to develop and validate a Nomogram (mCNS) model for predicting long-term survival in elderly patients following curative resection for advanced gastric cancer. The study is a retrospective multi-center analysis involving 924 gastric cancer patients treated at the Department of Gastrointestinal Surgery… Read more about this study

Who is it for?
Ages 65 years and older
Conditions the study is for
Stomach Neoplasms, Aged
How many people
1,436 participants
Where
1 siteChina
Study dates
1 Jan 2024to 20 May 2024
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 65 years and older
  • All sexes
  • No healthy volunteers
  • Older adult

Study population: The study population comprises elderly patients, aged 65 and above, diagnosed with gastric cancer and who underwent curative gastrectomy within a ten-year period from January 2009 to December 2018. Participants were selected from two major tertiary care centers in China, ensuring a comprehensive representation of the demographic. Strict adherence to selection criteria ensured the use of a consistent and high-quality dataset for subsequent analysis in developing a robust prognostic model. The study focuses on the elderly demographic, addressing a significant gap in prognostic tools for this age group, which often presents with distinct clinical and therapeutic challenges.

Who may be able to join

  • Confirmed as primary gastric adenocarcinoma by preoperative gastric endoscopy pathology;
  • Underwent R0 laparoscopic radical gastrectomy for gastric cancer;
  • Pathological stage T2-4a-N+;
  • Age ≥ 65 years.

Who cannot join

  • Pathological stage T1 and T2N0;
  • Age < 65 years;
  • Presence of peritoneal or distant metastasis confirmed before or during surgery;
  • Received neoadjuvant chemotherapy before surgery;
  • Remnant gastric cancer;
  • Emergency surgery or palliative exploratory surgery;
Show all 9Show fewer
  • Preoperative abdominal CT scan not available or preoperative examination time > 1 month;
  • Survival time less than 1 month;
  • Incomplete clinical and pathological data.

Trial locations and contacts

1 site in 1 country.

China1 site
  • Department of Gastric Surgery, Fujian Medical University Union Hospital

    Fuzhou, Fujian

Other trials in China

About this study

Official title: Prediction of Long-term Survival and Chemotherapy Benefit in Elderly Advanced Gastric Cancer Patients Based on the mCNS Model of Nutritional Control State Score and Sarcopenia.

This study aims to develop and validate a Nomogram (mCNS) model for predicting long-term survival in elderly patients following curative resection for advanced gastric cancer. The study is a retrospective multi-center analysis involving 924 gastric cancer patients treated at the Department of Gastrointestinal Surgery of the Affiliated Union Hospital of Fujian Medical University between 2009 and 2013, and 512 patients aged 65 and above who underwent gastric resection at the Affiliated Zhongshan Hospital of Dalian University between 2011 and 2018. An online prognostic tool is introduced to assist clinicians in predicting patient prognosis and customizing treatment and follow-up strategies.

Read the detailed description

Data were collected from 1436 gastric cancer patients, of which 555 elderly patients with advanced gastric cancer were ultimately included after applying exclusion criteria. Patients were divided into training and testing cohorts from the Fujian Medical University Affiliated Union Hospital and Dalian University Affiliated Zhongshan Hospital. The study was approved by the institutional review boards with a waiver of informed consent due to the use of anonymized secondary data. The analysis utilized the Cox proportional hazards model to select key variables for predicting overall survival (OS). The study also implemented rigorous data handling procedures, including multiple imputations for missing data. The development of an online prognostic tool based on the Nomogram model is part of the project, designed to provide real-time survival predictions through a user-friendly interface for clinical application.

Keywords
Stomach Neoplasms, Prognosis, Elderly, Prediction Model
Medical subject headings
Stomach Neoplasms

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. 5-Year Overall Survival

    The proportion of patients who are alive at five years after treatment for elderly gastric cancer patients.

    Measured: 5 years or 60 months.

Secondary outcomes (2)
  1. 3-Year Overall Survival

    The proportion of patients who have survived without any signs or symptoms of gastric cancer for 3 years after the initial treatment.

    Measured: 3 years or 36 months.

  2. 1-Year Overall Survival

    The proportion of patients who have survived without any signs or symptoms of gastric cancer for 1 years after the initial treatment.

    Measured: 1 years or 12 months.

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 Jun 2024
  2. Study start1 Jan 2024
  3. Primary completion1 May 2024
  4. Study completion20 May 2024

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Retrospective
Enrolment
1,436 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06467591
Sponsor's protocol ID
2024KY076
Status last verified
Jun 2024
First submitted
15 Jun 2024
Last updated
21 Jun 2024
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

An observational study of Stomach Neoplasms and Aged, run by Chang-Ming Huang, Prof. at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 9 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 21 Jun 2024. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

5-Year Overall Survival (time frame: 5 years or 60 months.). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Jun 2024.

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