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Gastrointestinal Cancers - StomachNCT05620537

A Novel Nomogram to Predict the Postoperative Overall Survival in Gastrointestinal Cancer Patients

An observational study of Gastrointestinal Cancers - Stomach and Gastrointestinal Cancers - Colorectal, run by Wang Xinying 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 multicenter retrospectively observational cohort study was conducted on participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery in 11 medical centers in China from August 1, 2015, to June 31, 2018. Read more about this study

Who is it for?
Ages 18 to 80 years
What is being tested?
observation
How many people
808 participants
Where
1 siteChina
Study dates
10 Nov 2022to 25 Nov 2022
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 18 to 80 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: The participants are who with histologically confirmed gastric and colorectal cancer who underwent radical surgery in 11 medical centers in China from August 1, 2015, to June 31, 2018.

Who may be able to join

  • 18-80 years old
  • postoperative pathological diagnosis of gastric or colorectal adenocarcinoma
  • underwent radical surgery
  • TNM stage ranged from stage I to stage III

Who cannot join

  • NRS 2002 or PG-SGA data was missing
  • pathological diagnosis of gastric stump cancer, cancer in situ, or pin-point cancer
  • in-hospital death or death within 30 days after surgery
  • preoperative neoadjuvant therapy
  • preoperative endoscopic surgery
  • the previous history of other malignant tumors
  • pregnancy.

Trial locations and contacts

1 site in 1 country.

China1 site
  • Jinling Hospital

    Nanjing, Jiangsu, 210002

Other trials in China

About this study

Official title: A Novel Nomogram to Predict the Postoperative 1-, 3-, and 5-year Overall Sur-vival in Gastrointestinal Cancer Patients: A Retrospective Multicenter Cohort Study

This multicenter retrospectively observational cohort study was conducted on participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery in 11 medical centers in China from August 1, 2015, to June 31, 2018. Baseline clinicopathologic data and nutritional status assessments including Nutrition Risk Screening 2002 (NRS 2002) score and Patient-generated Subjective Global Assessment (PG-SGA) rating were collected. Variables will be screened using the least absolute shrinkage and selection operator (LASSO) regression model and Cox regression analysis. Internal and external validations will be performed via the receiver operating curve (ROC), the area under the curve (AUC), the concordance index (C-index), calibration plots, decision curve analysis (DCA), and Five folds cross-validation by 200 times.

Read the detailed description
  1. Study design and patients This study is a multicenter retrospectively observational cohort study, which collected and followed up the patients with gastric cancer and colorectal cancer in 11 Chinese hospitals from August 1, 2015, to June 31, 2018. The eight sites of these were recruited as a training cohort, and the other three sites were recruited as an external validation cohort (Supplement Table 1). The inclusion criteria for both cohorts were complied with: 1) 18-80 years old; 2) postoperative pathological diagnosis of gastric or colorectal adenocarcinoma; 3) underwent radical surgery; 4) TNM stage ranged from stage I to stage III. The exclusion criteria included: 1) NRS 2002 or PG-SGA data was missing; 2) pathological diagnosis of gastric stump cancer, cancer in situ, or pin-point cancer; 3) in-hospital death or death within 30 days after surgery; 4) preoperative neoadjuvant therapy; 5) preoperative endoscopic surgery; 6) the previous history of other malignant tumors; 7) pregnancy. This study was approved by the Ethics Committee of each hospital.
  2. Data collection The following clinical data were collected in this study: demographic characteristics (age, sex, height, weight, and BMI), age-adjusted Charlson Comorbidity Index (aCCI), NRS 2002 score, PG-SGA rating, pathological characteristics (tumor stage, type, differentiation, tumor size, and tumor vol-ume), surgical characteristics (operation type and intraoperative blood loss), hematological indicators [carcinoembryonic antigen (CEA), cancer antigen19-9 (CA19-9), albumin, pre-albumin, blood glucose, triglycerides (TG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, blood urea nitrogen (BUN), serum creatinine, hemoglobin, and white blood cell], and other clinical characteristics (postoperative complication and postoperative infection). These candidate variables were derived from previous studies and clinical experience. We obtained tumor staging from electronic medical records and pathological reports using the American Joint Committee on Cancer (AJCC) 8th edition. Tumor volume was derived from tumor length, width, and height using the following formulas: V = 1/2 × a × b2 or V = π/6 × a × b × c.
  3. Nutritional status assessments All the centers routinely perform nutritional status assessments on admission by the NRS 2002 and PG-SGA. We collected the NRS 2002 score and PG-SGA rating from the electronic medical record system. 3.1 NRS 2002 NRS 2002 was used to estimate nutritional risk, accounting for inadequate nutritional status (low, moderate, or severe) and illness severity (low, moderate, or severe), with a 70-year age adjustment. The NRS 2002 score ranges from 0 to 7. For the NRS 2002, we employed three categories: no nutritional risk (<3), nutritional risk (3-4), and severe nutritional risk (≥5). 3.2 PG-SGA The PG-SGA, a nutritional status assessment tool based on the SGA, was developed exclusively for cancer patients. This includes self-evaluation by patients as well as evaluation by medical professionals. The seven components that make up the core content are weight, food intake, symptoms, functional ability, illness and its relationship to nutritional needs, metabolic demand (stress), and physical examination. The first four components were assessed by patients, while the final three were assessed by medical professionals. Physical examination was used to determine muscular exhaustion, subcutaneous fat thickness, and edema. Decreased mass and tone in temporal regions, deltoids, and quads indicated muscular exhaustion. The triceps and midaxillary lines at the level of the lower ribs were studied for subcutaneous fat depletion. Edema was checked on the ankles. Patients were categorized as well-nourished (A), moderately malnourished (B), or severely malnourished (C) based on the foregoing assessments.
  4. Study Outcome The primary outcome of this study was OS, defined as the time from the date of surgery to the end of follow-up or death. Follow-up information was mainly collected through the follow-up database of gastric and colorectal cancer of each center combined with telephone, outpatient, or inpatient follow-ups.
  5. Statistical methods Measurement data will be expressed as means and standard deviations (SD), while enumeration data will be expressed as frequencies and respective percentages. Hematological indicators will be converted to categorical variables while analyzed. Variables will be initially screened using the least absolute shrinkage and selection operator (LASSO) regression. The variables with minimum λ will be further screened using univariate and multivariate Cox regression analysis to identify independent predictors. Then we will build a prediction model by multivariate Cox regression model and plot the nomogram. For user convenience, we will also create a dynamic nomogram webpage. Discrimination of the model will be assessed using the receiver operating curve (ROC), the area under the curve (AUC), and the concordance index (C-index). Calibration plots will be used to assess the calibration of the model. Decision curve analysis (DCA) will be used to evaluate the clinical utility of the model. The same assessments will be performed with an external validation cohort. Internal validation of the model will be performed using Five folds cross-validation by 200 times. The cut-off values of the nomogram score which categorize patients into three categories (low-risk, middle-risk, and high-risk) will be calculated by X-tile 3.6.1 version (https://medicine.yale.edu/lab/rimm/research/software/). Kaplan-Meier analysis will be used to do survival analyses. R 4.2.0 version (http://www.r-project.org) will be used for statistical analyses of this study. A two-tailed p <0.05 will be considered statistically significant.
Being tested
observation
Keywords
Gastrointestinal Cancer, NRS 2002, Postoperative survival, Nomogram, multicenter study
Medical subject headings
Gastrointestinal Neoplasms

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • observationOther

    There are no interventions.

Study groups in NCT05620537
Study groupRoleWhat they receive
Gastrointestinal cancer patients cohortNot described
Receives: Other: observation

What is being measured

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

  1. postoperative overall survival

    It is the time from the date of surgery to the end of follow-up or death.

    Measured: 2022-02-01

Timeline

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

  1. First posted17 Nov 2022
  2. Study start10 Nov 2022
  3. Primary completion25 Nov 2022
  4. Study completion25 Nov 2022

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
808 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05620537
Sponsor's protocol ID
2022JinlingHospital-cohort2
Status last verified
Feb 2023
First submitted
10 Nov 2022
Last updated
13 Feb 2023
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided: Data and analytic code will be made available upon request pending application and approval by the corresponding author.

Questions about this trial

What is this clinical trial studying?

An observational study of Gastrointestinal Cancers - Stomach and Gastrointestinal Cancers - Colorectal, run by Wang Xinying 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 7 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 13 Feb 2023. 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?

postoperative overall survival (time frame: 2022-02-01). 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 13 Feb 2023.

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