| 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 |
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
MLM Gastrectomy Complication Prediction
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
MLM Gastrectomy Complication Prediction
| Japan |
Gastric cancer
| Gastrointestinal surgery |
Malignancy
NO
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.
Safety
Occurrence of postoperative complications of Clavien-Dindo grade 2 or higher among patients aged 75 years or older undergoing gastrectomy for gastric cancer
Observational
| 75 | years-old | <= |
| 100 | years-old | >= |
Male and Female
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.
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.
801
| 1st name | Goshi |
| Middle name | |
| Last name | Fujimoto |
Kameda Medical Center
Gastroenterological Surgery
296-0041
929 Higashi-cho, Kamogawa City, Chiba Prefecture 296-8602, Japan
0470922211
g_chimera_7@yahoo.co.jp
| 1st name | Goshi |
| Middle name | |
| Last name | Fujimoto |
Kameda Medical Center
Gastroenterological Surgery
296-0041
929 Higashi-cho, Kamogawa City, Chiba Prefecture 296-8602, Japan
0470922211
g_chimera_7@yahoo.co.jp
Kameda Medical Center
Goshi Fujimoto
None
Other
Kameda Medical Center
929 Higashi-cho, Kamogawa City, Chiba Prefecture 296-8602, Japan
0470922211
g_chimera_7@yahoo.co.jp
NO
静岡県
| 2026 | Year | 06 | Month | 21 | Day |
Unpublished
801
No longer recruiting
| 2026 | Year | 06 | Month | 04 | Day |
| 2026 | Year | 06 | Month | 04 | Day |
| 2026 | Year | 06 | Month | 04 | Day |
| 2026 | Year | 12 | Month | 31 | Day |
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.
| 2026 | Year | 06 | Month | 21 | Day |
| 2026 | Year | 06 | Month | 21 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070937