2025/04/18 更新

写真a

コジマ マサヒロ
小島 将裕
KOJIMA Masahiro
所属
理工学部 准教授
その他担当機関
理工学研究科ビジネスデータサイエンス専攻博士課程前期課程
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外部リンク

学位

  • 博士(統計科学) ( 総合研究大学院大学 )

  • 修士(経済学) ( 東京大学 )

学歴

  • 2022年3月
     

    総合研究大学院大学   大学複合科学研究科   統計科学専攻   博士   修了

  • 2014年3月
     

    東京大学   経済学研究科   経済理論専攻統計学コース   修士   修了

  • 2012年3月
     

    東京理科大学   理学部第一部   数理情報科学科   卒業

経歴

  • 2025年4月 - 現在

    統計数理研究所   学際統計数理研究系 生物・医学・環境科学研究グループ   客員准教授

  • 2025年4月 - 現在

    中央大学   理工学部 ビジネスデータサイエンス学科   准教授

  • 2014年4月 - 現在

    協和キリン株式会社

  • 2024年4月 - 2025年3月

    中央大学   非常勤講師

  • 2022年4月 - 2025年3月

    統計数理研究所   外来研究員

論文

  • Tips for Accelerating BOIN Design 査読

    Masahiro Kojima, Wu Wende, Henry Zhao

    Therapeutic Innovation & Regulatory Science   2024年8月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Springer Science and Business Media LLC  

    DOI: 10.1007/s43441-024-00692-9

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    その他リンク: https://link.springer.com/article/10.1007/s43441-024-00692-9/fulltext.html

  • Comparison of baseline covariate adjustment methods for restricted mean survival time

    Keisuke Hanada, Junji Moriya, Masahiro Kojima

    Contemporary Clinical Trials   138   107440 - 107440   2024年3月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    DOI: 10.1016/j.cct.2024.107440

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  • Pharmacokinetics, Pharmacodynamics, and Safety of Evocalcet (KHK7580), a Novel Calcimimetic Agent: An Open-Label, Single- and Multiple-Dose, Phase I Trial in Healthy Chinese Subjects

    Xuemei He, Kazuya Narushima, Masahiro Kojima, Chisato Nagai, Kexin Li

    Drug Design, Development and Therapy   Volume 18   567 - 581   2024年2月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Informa UK Limited  

    DOI: 10.2147/dddt.s437903

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  • Frailty model with change points for survival analysis 査読

    Masahiro Kojima, Shunichiro Orihara

    Pharmaceutical Statistics   2024年1月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Wiley  

    Abstract

    We propose a novel frailty model with change points applying random effects to a Cox proportional hazard model to adjust the heterogeneity between clusters. In the specially focused eight Empowered Action Group (EAG) states in India, there are problems with different survival curves for children up to the age of five in different states. Therefore, when analyzing the survival times for the eight EAG states, we need to adjust for the effects among states (clusters). Because the frailty model includes random effects, the parameters are estimated using the expectation‐maximization (EM) algorithm. Additionally, our model needs to estimate change points; we thus propose a new algorithm extending the conventional estimation algorithm to the frailty model with change points to solve the problem. We show a practical example to demonstrate how to estimate the change point and the parameters of the distribution of random effect. Our proposed model can be easily analyzed using the existing R package. We conducted simulation studies with three scenarios to confirm the performance of our proposed model. We re‐analyzed the survival time data of the eight EAG states in India to show the difference in analysis results with and without random effect. In conclusion, we confirmed that the frailty model with change points has a higher accuracy than the model without a random effect. Our proposed model is useful when heterogeneity needs to be taken into account. Additionally, the absence of heterogeneity did not affect the estimation of the regression parameters.

    DOI: 10.1002/pst.2360

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  • Application of multi-armed bandits to dose-finding clinical designs

    Masahiro Kojima

    Artificial Intelligence in Medicine   102713 - 102713   2023年11月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    DOI: 10.1016/j.artmed.2023.102713

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  • Comparison of the Oral Calcimimetics Evocalcet and Cinacalcet in East Asian Patients on Hemodialysis with Secondary Hyperparathyroidism

    Zhaohui Ni, Xinling Liang, Chia-Chao Wu, Kyubok Jin, Yong-Lim Kim, Kuo-Cheng Lu, Tak Mao Chan, Masafumi Fukagawa, Jun Kinoshita, Chisato Nagai, Masahiro Kojima, Xueqing Yu, Liang Xinling, Liu Shuangxin, Li Sijia, Xu Lixia, Ye Zhiming, Feng Zhonglin, Huang Renwei, Li Zhilian, Chen Wei, Zheng Xunhua, Huang Naya, Ai Zhen, Wang Xin, Zheng Xunhua, former PI, Zhaohui Ni, present PI, Lu Renhua, Shen Jianxiao, Zhou Yijun, Lin Xinghui, Xie Yuanyuan, Zhang Jiahui, Che Miaolin, Fang Yan, Pang Huihua, Su Xinyu, Gu Leyi, Jin Wei, Zhao Peipei, Shen Yiwei, Zao Liou, Lu Wei, Huang Haidong, Ji Gang, Li Hao, former PI, Wang Deguang, present PI, Wang Deguang, Yuan Liang, Ding Lihong, Wang Xuerong, Li Huai, Liu Hong, Yuan Fang, Song Panai, Zhou An, Chen Xiaojun, Li Xiejia, He Liyu, Tan Xia, Chen Jing, Zhang Minmin, Zhang Qian, Qian Jing, Kong Yaozhong, Chen Youyuan, Shen Wei, Xiao Guanqing, Chen Dezhen, Li Dao, Hou Aizhen, Li Xiaolei, He Hanchang, Ye Huizhen, Sun Zhuxing, Zhang Xiran, Shan Weiwei, Xue Jing, Chen Yong, Xing Changying, Li Li, Yu Xiangbao, Liu Kang, Ge Yifei, Xu Yili, Huang Zhimin, Wu Jingjing, Liu Bicheng, Tu Yan, Pan Mingming, Lin Hongli, Wang Dapeng, Meng Qingyang, Luo Renna, Ding Guohua, Shi Ming, Qiu Changjian, Lv Xifeng, Zhang Guojuan, Jiang Liping, Ding Ning, Zhao Huiying, Bao Shumin, Chen Wei, Chen Shen, Liang Qiaojing, Zhang Mei, Peng Kanfu, Xie Pan, Yuan Qian, Zhuo Yan, Li Shaohua, Mao Yonghui, Zhao Ban, Wang Songlan, Chen Xianguang, Chen Xiaonong, Gao Chenni, Yu Haijin, Weng Qinjie, Jin Yuanmeng, Ma Xiaobo, Luo Ping, Gao Dan, Wu Man, Qi Yonghui, Zhang Ping, Du Xiaoying, Qu Lihui, Xu Chunping, Sheng Kaixiang, Yang Yi, Wang Song, Tian Xinkui, Guo Hongxia, Bao Wenhan, Lin Weifeng, Zhou Sijia, Cui Zhuan, Yang Wenling, Su Kaijie, He Lian, Zhou Zhihong, Zheng Yu, Zheng Shubei, Jin Lingwei, Chen Yan, Pan Min, Zhang Guojuan, Jiang Liping, Ding Ning, Zhao Huiying, Bao Shumin, Chen Wei, Chen Shen, Liang Qiaojing, Zhang Mei, Chia-Chao Wu, Chih-Chien SungShuei-Liong Lin, Ming-Shiou Wu, Jenq-Wen Huang, Wen Chih Chiang, Chih-Kang Chiang, Shao-Yu Yang, Vin-Cent Wu, Tao-Min Huang, Yi-Ting Chen, Tai-Shuan Lai, Chun-Fu Lai, Der-Cherng Tarng, Shuo-Ming Ou, Chih-Yu Yang, Wei-Cheng Tseng, Yao-Ping Lin, Junne-Ming Sung, Te-Hui Kuo, Yu-Tzu Chang, An-Bang Wu, Wei-Hung Lin, Hua-Chang Fang, Hsin-Yu Chen, Chih-Yang Hsu, Po-Tsang Lee, Chien-Liang Chen, Kang-Ju Chou, Tzung-Yu Ho, Chien-Te Lee, Hwee-Yeong Ng, Yueh-Ting Lee, Yi-Wen Chiu, Hung-Tien Kuo, Chi-Chih Hung, Mei-Chuan Kuo, Jia-Jung Lee, Jer-Chia Tsai, Jer-Ming Chang, Lee-Moay, Lim, Shang-Jyh Hwang, Jyh-Chang Hwang, Hsien-Yi Wang, Wei-Chih Kan, Chia-Chun Wu, Ming-Yan Jiang, Chih-Chiang Chien, Ming-Ju Wu, Shang-Feng Tsai, Cheng-Hsu Chen, Hsi-Hsien Chen, Chih-Chin Kao, Yen-Chung Lin, Yueh-Lin Wu, Shu-Ching Yeh, Daniel Tak Mao Chan, Maggie Ming Yee Mok, Lorraine Pui Yuen Kwan, Gary Chi Wang Chan, Yong-Lim Kim, Jang-Hee Cho, Jeong-Hoon Lim, Hee-Yeon Jung, Sun-Hee Park, Chan-Duck Kim, Kyu Yeun Kim, Jung Tak Park, Tae-Hyun Yoo, Seung Hyeok Han, Wookyung Chung, Ji Yong Jung, Hyun Hee Lee, Jae Hyun Chang, Han Ro, Ae Jin Kim, Jong Soo Lee, Jongha Park, Kyung Sun Park, Kyoung Don Yoo, Tae Ik Chang, Ea Wha Kang, Kyoung Sook Park, Kyubok Jin, Yaerim Kim, Jinhyuk Paek, Wooyeong Park, Seungyeup Han, Ohyun Kwon, Sung Bae Park, Myung-gyu Kim, SeWon Oh, Jung Pyo Lee, Jeonghwan Lee, Jihoon Jung, Cheol Whee Park, Hyung Duk Kim, Sunggyun Kim, Youngrim Song, Narae Joo, Hyungsuk Lee, Bum-Soon Choi, Hoon Suk Park, Tae Hyun Ban

    Kidney International Reports   8 ( 11 )   2294 - 2306   2023年11月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    DOI: 10.1016/j.ekir.2023.08.034

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  • Variable selection using inverse probability of censoring weighting

    Masahiro Kojima

    Statistical Methods in Medical Research   2023年9月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:SAGE Publications  

    In this article, we propose two variable selection methods for adjusting the censoring information for survival times, such as the restricted mean survival time. To adjust for the influence of censoring, we consider an inverse probability of censoring weighted for subjects with events. We derive a least absolute shrinkage and selection operator (lasso)-type variable selection method, which considers an inverse weighting for of the squared losses, and an information criterion-type variable selection method, which applies an inverse weighting of the survival probability to the power of each density function in the likelihood function. We prove the consistency of the inverse probability of censoring weighted lasso estimator and the maximum inverse probability of censoring weighted likelihood estimator. The performance of the inverse probability of censoring weighted lasso and inverse probability of censoring weighted information criterion are evaluated via a simulation study with six scenarios, and then their variable selection ability is demonstrated using data from two clinical studies. The results confirm that inverse probability of censoring weighted lasso and the inverse probability of censoring weighted likelihood function produce good estimation accuracy and consistent variable selection. We conclude that our two proposed methods are useful variable selection tools for adjusting the censoring information for survival time analyses.

    DOI: 10.1177/09622802231199335

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    その他リンク: http://journals.sagepub.com/doi/full-xml/10.1177/09622802231199335

  • Data-dependent contrast test for dose-finding clinical trials 査読

    Masahiro Kojima

    Contemporary Clinical Trials   131   107265 - 107265   2023年8月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    DOI: 10.1016/j.cct.2023.107265

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  • Adaptive Cohort Size Determination Method for Bayesian Optimal Interval Phase I/II Design to Shorten Clinical Trial Duration 査読

    Masahiro Kojima

    JCO Precision Oncology   2023年7月

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    掲載種別:研究論文(学術雑誌)  

    DOI: 10.1200/PO.23.00087

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  • Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies 査読

    Masahiro Kojima

    Statistics in Medicine   42 ( 4 )   457 - 469   2023年2月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Wiley  

    DOI: 10.1002/sim.9626

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    その他リンク: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.9626

  • Data-dependent early completion of dose-finding trials for drug-combination 査読

    Masahiro Kojima

    Statistical Methods in Medical Research   096228022311550 - 096228022311550   2023年2月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:SAGE Publications  

    I propose a data-dependent early completion of dose-finding trials for drug combinations. Early completion is determined when the dose retainment probability using both the trial data and the number of remaining patients is high. An early completion method in which the dose retainment probability is adjusted by a bivariate isotonic regression is also proposed. Early completion is demonstrated for a virtual trial. The performance of the early completion method is evaluated by simulation studies with 12 scenarios. I have shown that, compared with non-early completion designs, the proposed early completion methods reduce the number of patients treated while maintaining similar performance. The number of patients for determining early completion before a trial start is determined and the program code for calculating the dose retainment probability is provided.

    Abstract

    Purpose

    Model-assisted designs for drug combination trials have been proposed as novel designs with simple and superior performance. However, model-assisted designs have the disadvantage that the sample size must be set in advance, and trials cannot be completed until the number of patients treated reaches the pre-set sample size. Model-assisted designs have a stopping rule that can be used to terminate the trial if the number of patients treated exceeds the predetermined number, there is no statistical basis for the predetermined number. Here, I propose two methods for data-dependent early completion of dose-finding trials for drug combination: (1) an early completion method based on dose retainment probability, and (2) an early completion method in which the dose retainment probability is adjusted by a bivariate isotonic regression.

    Methods

    Early completion is determined when the dose retainment probability using both trial data and the number of remaining patients is high. Early completion of a virtual trial was demonstrated. The performances of the early completion methods were evaluated by simulation studies with 12 scenarios.

    Results

    The simulation studies showed that the percentage of early completion was an average of approximately 70%, and the number of patients treated was 25% less than the planned sample size. The percentage of correct maximum tolerated dose combination selection for the early completion methods was similar to that of non-early completion methods with an average difference of approximately 3%.

    Conclusion

    The performance of the proposed early completion methods was similar to that of the non-early completion methods. Furthermore, the number of patients for determining early completion before the trial starts was determined and a program code for calculating the dose retainment probability was proposed.

    DOI: 10.1177/09622802231155094

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    その他リンク: http://journals.sagepub.com/doi/full-xml/10.1177/09622802231155094

  • Adaptive design for identifying maximum tolerated dose early to accelerate dose-finding trial 査読

    Masahiro Kojima

    BMC Medical Research Methodology   22 ( 1 )   2022年12月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Springer Science and Business Media LLC  

    Abstract

    Purpose

    The early identification of maximum tolerated dose (MTD) in phase I trial leads to faster progression to a phase II trial or an expansion cohort to confirm efficacy.

    Methods

    We propose a novel adaptive design for identifying MTD early to accelerate dose-finding trials. The early identification of MTD is determined adaptively by dose-retainment probability using a trial data via Bayesian analysis. We applied the early identification design to an actual trial. A simulation study evaluates the performance of the early identification design.

    Results

    In the actual study, we confirmed the MTD could be early identified and the study period was shortened. In the simulation study, the percentage of the correct MTD selection in the early identification Keyboard and early identification Bayesian optimal interval (BOIN) designs was almost same from the non-early identification version. The early identification Keyboard and BOIN designs reduced the study duration by about 50% from the model-assisted designs. In addition, the early identification Keyboard and BOIN designs reduced the study duration by about 20% from time-to-event model-assisted designs.

    Conclusion

    We proposed the early identification of MTD maintaining the accuracy to be able to short the study period.

    DOI: 10.1186/s12874-022-01584-y

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    その他リンク: https://link.springer.com/article/10.1186/s12874-022-01584-y/fulltext.html

  • Randomized, double-blind, placebo-controlled phase 3 study of bardoxolone methyl in patients with diabetic kidney disease: design and baseline characteristics of the AYAME study

    Masaomi Nangaku, Hirotaka Takama, Tomohiro Ichikawa, Kazuya Mukai, Masahiro Kojima, Yusuke Suzuki, Hirotaka Watada, Takashi Wada, Kohjiro Ueki, Ichiei Narita, Naoki Kashihara, Takashi Kadowaki, Hiroki Hase, Tadao Akizawa

    Nephrology Dialysis Transplantation   38 ( 5 )   1204 - 1216   2022年8月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Oxford University Press (OUP)  

    ABSTRACT

    Background

    Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD), but currently available treatments do not improve kidney function or prevent the initiation of dialysis/kidney replacement therapy. A previous study demonstrated that bardoxolone methyl improves the estimated glomerular filtration rate (eGFR), but the study was prematurely terminated because of an imbalance in heart failure between treatment groups. The subsequent phase 2 TSUBAKI study demonstrated no incidence of heart failure and an improved eGFR and GFR as determined by inulin clearance in DKD patients.

    Methods

    This randomized, double-blind, placebo-controlled multicentre phase 3 study was designed to assess the efficacy and safety of bardoxolone methyl in DKD patients with an eGFR ≥15.0–<60.0 ml/min/1.73 m2 and a urinary albumin:creatinine ratio (UACR) ≤3500 mg/g but without risk factors for heart failure. The primary endpoint is the time to onset of a ≥30% decrease in the eGFR or ESKD. Randomized patients (1:1) have been under treatment with once-daily oral bardoxolone methyl (5, 10 or 15 mg by intrapatient dose adjustment) or placebo for at least 3 years.

    Results

    The mean age of the 1013 patients is 65.9 years, 21.5% are female, the mean eGFR is 37.84 ml/min/1.73 m2 and the median UACR is 351.80 mg/g.

    Conclusions

    Appropriate patients are enrolled in this study. This study will investigate the long-term efficacy and safety of bardoxolone methyl in DKD patients covering a wider range of eGFR (≥15.0–<60.0 ml/min/1.73 m2) and albuminuria (≤3500 mg/g) compared with previous studies.

    DOI: 10.1093/ndt/gfac242

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    その他リンク: https://academic.oup.com/ndt/article-pdf/38/5/1204/50195017/gfac242.pdf

  • Safety and Efficacy of Burosumab in Pediatric Patients With X-Linked Hypophosphatemia: A Phase 3/4 Open-Label Trial

    Noriyuki Namba, Takuo Kubota, Koji Muroya, Hiroyuki Tanaka, Masanori Kanematsu, Masahiro Kojima, Shunichiro Orihara, Hironori Kanda, Yoshiki Seino, Keiichi Ozono

    Journal of the Endocrine Society   6 ( 5 )   2022年2月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:The Endocrine Society  

    Abstract

    Objective

    Burosumab, an anti-fibroblast growth factor 23 antibody, was recently approved for the treatment of X-linked hypophosphatemia (XLH).

    We evaluated the safety and efficacy of burosumab in pediatric XLH patients.

    Methods

    This open-label, phase 3/4 trial of ≤ 124 weeks’ duration was conducted at 4 Japanese medical centers. Fifteen children aged 1 to 12 years with XLH were included. All had previously been treated with phosphorus or vitamin D. Subcutaneous burosumab was administered every 2 weeks, starting with 0.8 mg/kg, and adjusted based on serum phosphorus levels and any safety concerns (maximum 2 mg/kg). Safety assessments included the frequency of treatment-emergent adverse events (TEAEs). Efficacy of burosumab on biochemical markers, clinical markers of rickets, motor function, and growth was also evaluated.

    Results

    The average treatment duration was 121.7 weeks. Frequently reported TEAEs were nasopharyngitis (46.7%), dental caries (40.0%), and influenza (33.3%). At baseline, patients had low serum phosphorus concentrations (2.6 ± 0.3 mg/dL) and low-to-normal 1,25-dihydroxyvitamin D concentrations (24.7 ± 12.7 pg/mL), which increased with burosumab treatment and were maintained during the study period. Alkaline phosphatase decreased continuously. At baseline, the mean ± SD total Thacher Rickets Severity Score (RSS) was 1.3 ± 1.2, and 4 patients (26.7%) had an RSS ≥ 2.0. Mean Radiographic Global Impression of Change and RSS tended to improve, particularly in patients with higher baseline RSS. There was a trend toward increased 6-minute walk test distance. No apparent changes in growth rate were observed.

    Conclusion

    Burosumab has a good safety profile and is effective in pediatric patients with XLH.

    DOI: 10.1210/jendso/bvac021

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    その他リンク: https://academic.oup.com/jes/article-pdf/6/5/bvac021/43058351/bvac021.pdf

  • Early Completion of Model-Assisted Designs for Dose-Finding Trials 査読

    Masahiro Kojima

    JCO Precision Oncology   ( 5 )   1449 - 1457   2021年11月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:American Society of Clinical Oncology ({ASCO})  

    PURPOSE

    We propose a novel early completion method for phase I dose-finding trials using model-assisted designs. The trials can halt when a maximum tolerated dose (MTD) is estimated with sufficient accuracy. Early completion can reduce the average number of patients treated relative to the planned number, thereby allowing the trial to proceed to enrolling an expansion cohort for efficacy and enabling the trial to reach the next phase faster.

    METHODS

    Early completion is conducted on the basis of a dose-retainment probability using dose-assignment decisions. We evaluated early the completion for two actual trials. In addition, we performed a computer simulation to confirm the percentage of correctly selected MTDs, the early completion percentage, and the average number of patients treated.

    RESULTS

    In the evaluation of the two actual trials, we confirmed that the trials completed early. In the simulation results, we confirmed that the percentages of correct MTD selection were maintained relative to the original model-assisted designs. The early completion percentages ranged from 50% to 90%, and the number of patients treated reduced from 20%-60% relative to the planned number of patients.

    CONCLUSION

    We conclude that the early completion method can be applied unproblematically to the model-assisted design of phase I dose-finding trials.

    DOI: 10.1200/PO.21.00192

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  • Early completion of phase I cancer clinical trials with Bayesian optimal interval design 査読

    Masahiro Kojima

    Statistics in Medicine   40 ( 14 )   3215 - 3226   2021年6月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Wiley  

    DOI: 10.1002/sim.8886

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    その他リンク: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.8886

  • Interim Analysis of a Phase 2 Open‐Label Trial Assessing Burosumab Efficacy and Safety in Patients With Tumor‐Induced Osteomalacia

    Yasuo Imanishi, Nobuaki Ito, Yumie Rhee, Yasuhiro Takeuchi, Chan Soo Shin, Yutaka Takahashi, Hiroki Onuma, Masahiro Kojima, Masanori Kanematsu, Hironori Kanda, Yoshiki Seino, Seiji Fukumoto

    Journal of Bone and Mineral Research   36 ( 2 )   262 - 270   2020年11月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Oxford University Press (OUP)  

    ABSTRACT

    Patients with tumor‐induced osteomalacia (TIO), an acquired paraneoplastic condition characterized by osteomalacia due to hypophosphatemia, exhibit a similar clinical picture to those with X‐linked hypophosphatemic rickets/osteomalacia (XLH). The human monoclonal anti‐fibroblast growth factor 23 (FGF23) antibody burosumab (KRN23) increases serum phosphate and improves bone turnover, fracture healing, pain, and physical function in XLH patients by inhibiting circulating FGF23; thus, burosumab is expected to be an effective treatment for TIO. We report here an interim analysis of a multicenter, open‐label, intraindividual dose‐adjustment study of burosumab (0.3 to 2.0 mg/kg every 4 weeks) in Japanese and Korean TIO patients. The primary endpoint was the fasting serum phosphate level at each visit. Key secondary endpoints were changes over time in bone biomarkers, pharmacodynamic markers, bone histomorphometric parameters, motor function, and patient‐reported outcomes. Safety was assessed based on treatment‐emergent adverse events (TEAEs). Thirteen patients received burosumab treatment, of whom 4 underwent bone biopsy. The mean dose after week 112 was approximately 1.0 mg/kg. After the first burosumab administration, mean serum phosphate levels increased and remained above the lower limit of normal and in the normal range from weeks 14 to 112. Bone biomarkers initially increased, reaching maximum values at week 16 or 24, and then gradually decreased. After burosumab treatment, patients were able to walk further (evaluated by the 6‐minute walk test), reported decreased pain levels, and showed a tendency toward healing of baseline fractures and pseudofractures. Two patients discontinued, one each due to disease progression and consent withdrawal. Burosumab was generally well tolerated, with no treatment‐related TEAEs of grade ≥3 and no treatment‐related serious AEs. In conclusion, the interim results of this first study of burosumab to treat TIO patients indicate that this drug has the potential to provide clinical benefit for patients with unresectable tumors. The full study results are eagerly anticipated. © 2020 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR)..

    DOI: 10.1002/jbmr.4184

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    その他リンク: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/jbmr.4184

  • Bartlett-type adjustments for hypothesis testing in linear models with general error covariance matrices 査読

    Masahiro Kojima, Tatsuya Kubokawa

    Journal of Multivariate Analysis   122   162 - 174   2013年11月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier BV  

    DOI: 10.1016/j.jmva.2013.07.016

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