Unique ID issued by UMIN | UMIN000033964 |
---|---|
Receipt number | R000038740 |
Scientific Title | Development and validation of a nomogram to predict the possibility of urolithiasis |
Date of disclosure of the study information | 2018/09/01 |
Last modified on | 2022/12/06 12:51:33 |
Development and validation of a nomogram to predict the possibility of urolithiasis
Development and validation of a nomogram to predict the possibility of urolithiasis
Development and validation of a nomogram to predict the possibility of urolithiasis
Development and validation of a nomogram to predict the possibility of urolithiasis
Japan |
urolithiasis
Nephrology | Urology |
Others
NO
To develop and validate a nomogram that predicts individual probability of urolithiasis
Others
To develop and validate a nomogram that predicts individual probability of urolithiasis
Confirmatory
Pragmatic
Not applicable
Develop a nomogram that predicts individual probability of urolithiasis
Validate a nomogram that predicts individual probability of urolithiasis
Observational
10 | years-old | <= |
100 | years-old | >= |
Male and Female
Control: healthy volunteer or healthy subject without suspicious of urolothiasis
Patients with severe comorbidities that could not include for the sudy.
5000
1st name | Shingo |
Middle name | |
Last name | Hatakeyama |
Hirosaki University Graduate School of Medicine
Urology
036-8562
5 zaifuchou, Hirosaki, Japan
0172395091
shingoh@hirosaki-u.ac.jp
1st name | Shingo |
Middle name | |
Last name | Hatakeyama |
Hirosaki University Graduate School of Medicine
Urology
036-8562
5 zaifuchou, Hirosaki, Japan
0172395091
shingoh@hirosaki-u.ac.jp
Hirosaki University Graduate School of Medicine
Hirosaki University Graduate School of Medicine
Government offices of other countries
Japan
Hirosaki University Graduate School of Medicine
5 Zaifu-chou
0172-33-5111
rinri@hirosaki-u.ac.jp
NO
2018 | Year | 09 | Month | 01 | Day |
https://pubmed.ncbi.nlm.nih.gov/32147889/
Published
https://pubmed.ncbi.nlm.nih.gov/32147889/
1305
we developed and validated the STone Episode Prediction nomogram that can predict a potential candidate for an episode of urolithiasis. This nomogram might be beneficial for the first step in stone screening in individuals with lifestyle-related diseases.
2022 | Year | 12 | Month | 06 | Day |
Objectives: To develop and validate a nomogram predicting the occurrence of a stone episode, given the lack of such predicting risk tools for urolithiasis.
Methods: We retrospectively analyzed 1305 patients with urolithiasis and 2800 community-dwelling individuals who underwent a comprehensive health survey. The STone Episode Prediction nomogram was created based on data from the medical records of 600 patients with urolithiasis and 1300 controls, and was validated using a different population of 705 patients with urolithiasis and 1500 controls. Logistic regression analysis was used to construct a model to predict the potential candidate for a stone episode.
none
The predictive ability of the model was evaluated using the results of the area under the receiver operating characteristics curve (area under the curve).
Completed
2018 | Year | 08 | Month | 31 | Day |
2021 | Year | 04 | Month | 30 | Day |
2018 | Year | 09 | Month | 01 | Day |
2022 | Year | 12 | Month | 01 | Day |
We retrospectively analyze patients with urinary stone and non-stone individuals.
Thereafter, prospective observational study will be conduct to validate the feasibility of the nomogram
2018 | Year | 08 | Month | 31 | Day |
2022 | Year | 12 | Month | 06 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000038740