2020 Fiscal Year Annual Research Report
Personalized therapies through RCT big data: IPD meta-analyses
| Project/Area Number |
17K19808
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| Research Institution | Kyoto University |
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Principal Investigator |
古川 壽亮 京都大学, 医学研究科, 教授 (90275123)
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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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| Keywords | うつ病 / メタアナリシス |
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| Outline of Annual Research Achievements |
2020年は、以下の個人データメタナリシスを実施、発表した。
1. Imai H, Noma H, Furukawa TA. Melancholic features (DSM-IV) predict but do not moderate response to antidepressants in major depression: An individual participant data meta-analysis of 1219 patients. Eur Arch Psychiatry Clin Neurosci in press 2. Furukawa TA, Suganuma A, Ostinelli EG, et al. Dismantling, optimising and personalising internet cognitive-behavioural therapy for depression: A systematic review and individual participant data component network meta-analysis. Lancet Psychiatry in press 3. Karyotaki E, Efthimiou O, Miguel C, et al. Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis. JAMA psychiatry 2021 doi: 10.1001/jamapsychiatry.2020.4364 [published Online First: 2021/01/21] 4. Watanabe N, Maruo K, Imai H, et al. Predicting antidepressant response through early improvement of individual symptoms of depression incorporating baseline characteristics of patients: An individual patient data meta-analysis. J Psychiatr Res 2020;125:85-90. doi: 10.1016/j.jpsychires.2020.03.009 [published Online First: 2020/04/05]
また以下の理論的論文を発表した 5. Seo M, White IR, Furukawa TA, et al. Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis. Stat Med 2020 doi: 10.1002/sim.8859 [published Online First: 2020/12/29]
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