| Unique ID issued by UMIN | UMIN000056252 |
|---|---|
| Receipt number | R000064266 |
| Scientific Title | A cohort study on the short- and long-term treatment outcomes of underwater endoscopic resection for colorectal tumors |
| Date of disclosure of the study information | 2024/11/23 |
| Last modified on | 2024/11/23 16:14:08 |
A cohort study on the short- and long-term treatment outcomes of underwater endoscopic resection for colorectal tumors
CURE-Colon Study
A cohort study on the short- and long-term treatment outcomes of underwater endoscopic resection for colorectal tumors
CURE-Colon Study
| Japan |
Colorectal tumors
| Gastroenterology |
Malignancy
NO
To compare the treatment outcomes of a novel endoscopic resection method, underwater mucosal resection, with conventional methods for colorectal tumors.
Safety,Efficacy
Confirmatory
Rate of positive histological resection margins, en bloc resection rate, frequency of post-treatment complications, and post-treatment local recurrence rate.
Observational
| 20 | years-old | <= |
| 100 | years-old | >= |
Male and Female
Endoscopic mucosal resection cases for colorectal tumors (underwater resection and conventional methods) performed at our institution from November 2018 to October 2024.
Not applicable.
200
| 1st name | Kazutomo |
| Middle name | |
| Last name | Togashi |
Fukushima Medical University, Aizu Medical Center
Gastroenterology
969-3492
21-2 Maeda, Tanisama, Kawahigashi-machi, Aizuwakamatsu City, Fukushima Prefecture, Japan
0242752100
togashik@fmu.ac.jp
| 1st name | Yuki |
| Middle name | |
| Last name | Nakajima |
Fukushima Medical University, Aizu Medical Center
Gastroenterology
969-3492
21-2 Maeda, Tanisama, Kawahigashi-machi, Aizuwakamatsu City, Fukushima Prefecture, Japan
0242752100
naka1008@fmu.ac.jp
Fukushima Medical University
Self funding
Self funding
Fukushima Medical University Ethics Review Committee
1Hikariga-oka, Fukushima City, JAPAN
0245471825
fmu@esct.bvits.com
NO
| 2024 | Year | 11 | Month | 23 | Day |
Unpublished
Suspended
| 2024 | Year | 10 | Month | 22 | Day |
| 2024 | Year | 10 | Month | 31 | Day |
| 2024 | Year | 11 | Month | 23 | Day |
| 2027 | Year | 12 | Month | 31 | Day |
Multivariate analysis using logistic regression will be performed on up to 10 factors that showed p<0.1 in univariate analysis.
| 2024 | Year | 11 | Month | 23 | Day |
| 2024 | Year | 11 | Month | 23 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000064266