Personalized therapies through RCT big data: IPD meta-analyses
Project/Area Number |
17K19808
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Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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Allocation Type | Multi-year Fund |
Research Field |
Society medicine, Nursing, and related fields
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Research Institution | Kyoto University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
渡辺 範雄 京都大学, 医学研究科, 客員研究員 (20464563)
田中 司朗 京都大学, 医学研究科, 特定教授 (60522406)
野間 久史 統計数理研究所, データ科学研究系, 准教授 (70633486)
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Project Period (FY) |
2017-06-30 – 2021-03-31
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Project Status |
Completed (Fiscal Year 2020)
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Budget Amount *help |
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2019: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2017: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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Keywords | うつ病 / メタアナリシス / 臨床疫学 / 社会医学 |
Outline of Final Research Achievements |
We have been able to assemble several datasets of IPD, and have published eight IPD (network) meta-analyses as well as four methodological papers in international journals.
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Academic Significance and Societal Importance of the Research Achievements |
既存の臨床試験の個人データを集積したビッグデータの解析により、個別化医療を進めることは、現在の医学における重要課題の一つである。われわれは主にうつ病について個人データ(ネットワーク)メタアナリシスを8本出版することによってこの方面の知見の進歩に貢献したのみならず、方法論的論文も4本出版して分野の進歩に寄与した。
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Report
(5 results)
Research Products
(18 results)
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[Journal Article] Internet-Based Cognitive Behavioral Therapy for Depression2021
Author(s)
Karyotaki Eirini、Efthimiou Orestis、Miguel Clara、Bermpohl Frederic Maas genannt、Furukawa Toshi A.、Cuijpers Pim、Individual Patient Data Meta-Analyses for Depression (IPDMA-DE) Collaboration
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Journal Title
JAMA Psychiatry
Volume: -
Issue: 4
Pages: 361-361
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Efficient two-step multivariate random effects meta-analysis of individual participant data for longitudinal clinical trials using mixed effects models2019
Author(s)
Noma, H., Maruo, K., Gosho, M., Levine, S. Z., Goldberg, Y., Leucht, S., Furukawa, T. A.
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Journal Title
BMC Medical Research Methodology
Volume: 19
Issue: 1
Pages: 33-33
DOI
NAID
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Exploratory analyses of effect modifiers in the antidepressant treatment of major depression: Individual-participant data meta-analysis of 2803 participants in seven placebo-controlled randomized trials2019
Author(s)
Noma, H., Furukawa, T. A., Maruo, K., Imai, H., Shinohara, K., Tanaka, S., Ikeda, K., Yamawaki, S., Cipriani, A.
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Journal Title
Journal of Affective Disorders
Volume: 250
Pages: 419-424
DOI
Related Report
Peer Reviewed / Int'l Joint Research
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[Journal Article] Initial severity of major depression and efficacy of new generation antidepressants: Individual-participant data meta-analysis2018
Author(s)
Furukawa TA, Maruo K, Noma H, Tanaka S, Imai H, Shinohara K, Ikeda K, Yamawaki S, Levine SZ, Goldberg Y, Leucht S & Cipriani A
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Journal Title
Acta Psychiatrica Scandinavica
Volume: epub
Issue: 6
Pages: 1-8
DOI
Related Report
Peer Reviewed / Int'l Joint Research
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[Journal Article] Comparative efficacy and acceptability of first- and second-generation antidepressants in the acute treatment of major depressive disorder: A network meta-analysis.2018
Author(s)
Cipriani A, Furukawa TA, Salanti G, Chaimani A, Atkinson LZ, Ogawa Y, Leucht S, Ruhe HG, Turner EH, Higgins JP, Egger M, Takeshima N, Hayasaka Y, Imai H, Shinohara K, Tajika A, Ioannidis JP & Geddes JR
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Journal Title
Lancet
Volume: epub
Issue: 10128
Pages: 1-8
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research