UMIN-ICDS Clinical Trial

Unique ID issued by UMIN UMIN000061288
Receipt number R000070124
Scientific Title Development and External Validation of Machine Learning Models for Predicting Postoperative Recurrence in Gastric Cancer: A TRIPOD+AI-Compliant Single-Center Cohort Study
Date of disclosure of the study information 2026/05/01
Last modified on 2026/04/17 12:59:01

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Basic information

Public title

Development and External Validation of Machine Learning Models for Predicting Postoperative Recurrence in Gastric Cancer: A TRIPOD+AI-Compliant Single-Center Cohort Study

Acronym

ML Models for Gastric Cancer Recurrence

Scientific Title

Development and External Validation of Machine Learning Models for Predicting Postoperative Recurrence in Gastric Cancer: A TRIPOD+AI-Compliant Single-Center Cohort Study

Scientific Title:Acronym

ML Models for Gastric Cancer Recurrence

Region

Japan


Condition

Condition

Gastric cancer

Classification by specialty

Gastrointestinal surgery

Classification by malignancy

Malignancy

Genomic information

NO


Objectives

Narrative objectives1

The aims of this study were to: (1) develop ML models for postoperative gastric cancer recurrence in a Japanese single-center curative resection cohort using multivariate iterative imputation; (2) evaluate external generalizability in an independent holdout cohort; (3) improve probability calibration via post-hoc sigmoid calibration; (4) quantify clinical utility using bootstrap-corrected DCA; and (5) assess model interpretability using SHAP values.

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Discrimination is assessed by ROC-AUC and precision-recall AUC. Clinical utility is evaluated by DCA.

Key secondary outcomes



Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

20 years-old <=

Age-upper limit

100 years-old >=

Gender

Male and Female

Key inclusion criteria

Age is greater than or equal to 20 years
Histologically confirmed gastric adenocarcinoma
Underwent curative (R0) gastrectomy (total, distal, or proximal gastrectomy with lymph node dissection)
Surgery performed between April 2008 and March 2020 at the study institution
Follow-up duration of at least 3 months

Key exclusion criteria

Presence of concurrent non-gastric malignancies
Receipt of neoadjuvant chemotherapy or chemoradiotherapy
Emergency surgery or reduced-function procedures
Follow-up duration of less than 3 months

Target sample size

1162


Research contact person

Name of lead principal investigator

1st name Goshi
Middle name
Last name Fujimoto

Organization

Kameda Medical Center

Division name

Gastroenterological Surgery

Zip code

296-0041

Address

929 Higashi-cho, Kamogawa City, Chiba Prefecture 296-8602, Japan

TEL

0470922211

Email

g_chimera_7@yahoo.co.jp


Public contact

Name of contact person

1st name Goshi
Middle name
Last name Fujimoto

Organization

Kameda Medical Center

Division name

Gastroenterological Surgery

Zip code

296-0041

Address

929 Higashi-cho, Kamogawa City, Chiba Prefecture 296-8602, Japan

TEL

0470922211

Homepage URL


Email

g_chimera_7@yahoo.co.jp


Sponsor or person

Institute

Kameda Medical Center

Institute

Department

Personal name

Goshi Fujimoto


Funding Source

Organization

None

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization

Japan


Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Kameda Medical Center

Address

929 Higashi-cho, Kamogawa City, Chiba Prefecture 296-8602, Japan

Tel

0470922211

Email

g_chimera_7@yahoo.co.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW

静岡県


Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2026 Year 05 Month 01 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Preinitiation

Date of protocol fixation

2025 Year 04 Month 24 Day

Date of IRB


Anticipated trial start date

2025 Year 04 Month 25 Day

Last follow-up date

2026 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

This study is a single-center retrospective observational study. Using routinely collected clinical data from medical records, we develop machine learning based prediction models to estimate postoperative recurrence risk after curative resection for gastric cancer and to evaluate their external validity.
This study involves no intervention. All analyses are conducted using existing data obtained as part of standard clinical care, and no changes are made to treatment strategies, follow-up schedules, examinations, or outcome assessments for research purposes.
The study period is temporally divided into a development cohort and an independent external validation cohort (temporal validation design). The primary outcome is postoperative recurrence, defined as recurrence confirmed by imaging studies and/or histopathological diagnosis.


Management information

Registered date

2026 Year 04 Month 17 Day

Last modified on

2026 Year 04 Month 17 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070124