Unique ID issued by UMIN | UMIN000054100 |
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Receipt number | R000061787 |
Scientific Title | Development of a Scoring Model to Predict Completion of Chemoradiotherapy for Inoperable Stage III NSCLC |
Date of disclosure of the study information | 2024/04/10 |
Last modified on | 2024/04/10 10:12:09 |
Development of a Scoring Model to Predict Completion of Chemoradiotherapy for Inoperable Stage III NSCLC
Scoring Model to Predict Completion of Chemoradiotherapy for Stage III NSCLC
Development of a Scoring Model to Predict Completion of Chemoradiotherapy for Inoperable Stage III NSCLC
Scoring Model to Predict Completion of Chemoradiotherapy for Stage III NSCLC
Japan |
Inoperable Stage III Non-Small Cell Lung Cancer
Pneumology |
Malignancy
NO
To develop a scoring model to predict completion of chemoradiotherapy for inoperable stage III NSCLC.
Others
To evaluate the percentage of treatment completion, best overall response, progression-free survival, overall survival, best overall response, and duration of treatment success for each score in the developed scoring model.
Percentage of treatment completed = Percentage of protocol treatment completed for each study
Observational
Not applicable |
Not applicable |
Male and Female
The study will include 1288 patients enrolled in the CRT dataset stored in the Japan Lung Cancer Society Integrated Database of Clinical Trials (JIDB).
The following cases are selected from JIDB.
(1) Patients who received concurrent radiation and chemotherapy
(2) Patients who were diagnosed with unresectable locally advanced non-small cell lung cancer
Exclude the following cases.
(1) Cases in which completion of treatment was not noted.
1288
1st name | Takafumi |
Middle name | |
Last name | Suda |
Hamamatsu University School of Medicine
Department of Internal Medicine, Second Devision
4313192
Hanadayama 1-20-1, Hamamatsu, Shizuoka
0534352263
suda@hama-med.ac.jp
1st name | Masato |
Middle name | |
Last name | Karayama |
Hamamatsu University School of Medicine
Cancer Center
4313192
Hanadayama 1-20-1, Hamamatsu, Shizuoka
053-435-2491
karayama@hama-med.ac.jp
Hamamatsu University School of Medicine
Self-funding
Self funding
Clinical Research Ethics Committee, Hamamatsu University School of Medicine
Hanadayama 1-20-1, Hamamatsu, Shizuoka
053-435-2680
rinri@hama-med.ac.jp
NO
2024 | Year | 04 | Month | 10 | Day |
Unpublished
Preinitiation
2024 | Year | 02 | Month | 15 | Day |
2024 | Year | 03 | Month | 28 | Day |
2024 | Year | 05 | Month | 01 | Day |
2025 | Year | 04 | Month | 30 | Day |
This study will use JIDB, an integrated database of clinical research that integrates multiple randomized controlled trials collected at the Japanese Lung Cancer Association. The main objective of this study is to construct a scoring model related to treatment completion.
1. Overall survival, progression-free survival, and duration of treatment success: Survival curves will be estimated for each score in the constructed scoring model using the Kaplan-Meier method. Also, depict Kaplan-Meier plots. Based on the estimated survival curves, calculate the 95% confidence intervals for the median survival period and annual survival rate based on Greenwood's formula. The double log transformation is used to calculate the confidence intervals. In addition, we will evaluate the propensity in the scoring model constructed using the log-rank trend test, and calculate the hazard ratio and 95% confidence interval for the group with each score relative to the group with the lowest score.
2. Best overall effect: Summarize the overall best effect (CR, PR, SD, PD, NE) in each score of the constructed scoring model. The response rate and disease control rate for the best overall effect will be summed for each group, and the exact 95% confidence interval for Clopper-Pearson will be calculated. We will also evaluate the propensity in the scoring model constructed using the Cochran-Armitage test, and calculate the odds ratio and 95% confidence interval for the group with each score relative to the group with the lowest score.
3. Evaluation of safety: Adverse events in each score of the constructed scoring model are summarized in terms of frequency and percentage for each event. In addition, the frequency, incidence rate, and Clopper-Pearson exact 95% confidence interval of adverse events of Any grade, G3 or higher, and G4 or higher will be calculated.
2024 | Year | 04 | Month | 10 | Day |
2024 | Year | 04 | Month | 10 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000061787
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