UMIN-ICDS Clinical Trial

Unique ID issued by UMIN UMIN000061991
Receipt number R000070937
Scientific Title Development and Temporal Validation of Machine Learning Models for Predicting Postoperative Complications After Gastrectomy in Patients Aged 75 Years or Older: A Single-Center Retrospective Cohort Study
Date of disclosure of the study information 2026/06/21
Last modified on 2026/06/21 18:47:44

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Basic information

Public title

Development and Temporal Validation of Machine Learning Models for Predicting Postoperative Complications After Gastrectomy in Patients Aged 75 Years or Older: A Single-Center Retrospective Cohort Study

Acronym

MLM Gastrectomy Complication Prediction

Scientific Title

Development and Temporal Validation of Machine Learning Models for Predicting Postoperative Complications After Gastrectomy in Patients Aged 75 Years or Older: A Single-Center Retrospective Cohort Study

Scientific Title:Acronym

MLM Gastrectomy Complication Prediction

Region

Japan


Condition

Condition

Gastric cancer

Classification by specialty

Gastrointestinal surgery

Classification by malignancy

Malignancy

Genomic information

NO


Objectives

Narrative objectives1

This study aimed to develop and temporally validate machine learning models for predicting grade 2 or higher complications after gastrectomy in patients aged 75 years or older using exclusively preoperative variables, quantify optimism bias, and evaluate incremental predictive value over single-predictor baselines, in accordance with the TRIPOD+AI statement and PROBAST+AI guidelines.

Basic objectives2

Safety

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Occurrence of postoperative complications of Clavien-Dindo grade 2 or higher among patients aged 75 years or older undergoing gastrectomy for gastric cancer

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

75 years-old <=

Age-upper limit

100 years-old >=

Gender

Male and Female

Key inclusion criteria

Patients aged 75 years or older who underwent gastrectomy (distal gastrectomy, total gastrectomy, or proximal gastrectomy) for gastric cancer at our institution between April 1, 2000 and March 31, 2025, regardless of the extent of lymphadenectomy (D0-D2), resection margin status (R0-R2), simultaneous resection of other organs, or prior neoadjuvant chemotherapy.

Key exclusion criteria

Patients meeting any of the following criteria were excluded: 1) concurrent malignancies other than gastric cancer; 2) insufficient data required for this study; 3) exploratory laparotomy; 4) bypass procedures; 5) local gastric resection, gastric segmentectomy, or pylorus-preserving gastrectomy; 6) gastrostomy or jejunostomy formation alone.

Target sample size

801


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



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 06 Month 21 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

801

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

No longer recruiting

Date of protocol fixation

2026 Year 06 Month 04 Day

Date of IRB

2026 Year 06 Month 04 Day

Anticipated trial start date

2026 Year 06 Month 04 Day

Last follow-up date

2026 Year 12 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

This is a single-center, retrospective cohort study of patients aged 75 years or older who underwent gastrectomy for gastric cancer at our institution between April 1, 2000 and March 31, 2025.
Using data extracted from electronic medical records, we developed machine learning models to predict the occurrence of postoperative complications of Clavien-Dindo grade 2 or higher. The study period was divided at April 1, 2019 into two cohorts: an earlier cohort (development cohort, 638 patients) used for model development, and a later cohort (temporal validation cohort, 163 patients) used for temporal validation of model performance.
Predictors were limited to variables confirmed preoperatively, including age, sex, body mass index, American Society of Anesthesiologists physical status, age-adjusted Charlson comorbidity index, prior laparotomy history, total gastrectomy, open surgical approach, Prognostic Nutritional Index, C-reactive protein-to-albumin ratio, and prothrombin time international normalized ratio. Postoperatively determined pathological variables were not included as predictors.


Management information

Registered date

2026 Year 06 Month 21 Day

Last modified on

2026 Year 06 Month 21 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070937