5 datasets found
  1. Number of DPC hospitals in Japan and included in MDV database by year.

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata (2023). Number of DPC hospitals in Japan and included in MDV database by year. [Dataset]. http://doi.org/10.1371/journal.pone.0256379.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    Number of DPC hospitals in Japan and included in MDV database by year.

  2. f

    Data from: Assessing the correlation between second progression-free...

    • tandf.figshare.com
    jpeg
    Updated May 31, 2023
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    Masaki Shiota; Raf De Moor; Yosuke Koroki; Dae Young Yu; David Bin-Chia Wu (2023). Assessing the correlation between second progression-free survival (PFS2) and overall survival (OS) in advanced prostate cancer patients using medical data vision (MDV) claims database in Japan [Dataset]. http://doi.org/10.6084/m9.figshare.20194269.v2
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Masaki Shiota; Raf De Moor; Yosuke Koroki; Dae Young Yu; David Bin-Chia Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    To assess the correlation between PFS2 and OS among patients with advanced prostate cancer (PC) in a real-world setting for Japan. This was a retrospective analysis using the Japanese MDV database. Patients with nmCRPC (non-metastatic Castration-Resistant PC), mCRPC (metastatic Castration-Resistant PC), and mCNPC (metastatic Castration-Naïve PC) were identified and their medical records were investigated for PFS2 and death. Association between PFS2 and OS was determined using the Pearson’s, Spearman’s, Kendall's Tau, and Fleischers’ correlation coefficients. A total of 386,484 patients with PC were identified from the database, of which, 1,783 patients with nmCRPC, 630 with mCRPC, and 454 with mCNPC met the predefined eligibility criteria. Significant correlation between PFS2 and OS was observed in patients with nmCRPC (Pearson’s r = 0.873; 95% CI: 0.849−0.897, Spearman’s r = 0.909; 95% CI: 0.893−0.925; Kendall’s Tau r = 0.831; 95% CI: 0.812−0.850, Fleischers’ r = 0.682; 95% CI: 0.601−0.764), mCRPC (Pearson’s r = 0.812; 95% CI: 0.758−0.865, Spearman’s r = 0.895; 95% CI: 0.868−0.923, Kendall’s Tau r = 0.789; 95% CI: 0.755−0.823, Fleischers’ r= 0.439; 95% CI: 0.334−0.544), and mCNPC (Pearson’s r = 0.931; 95% CI: 0.899−0.964, Spearman’s r = 0.943; 95% CI: 0.922−0.964, Kendall’s Tau r = 0.866; 95% CI: 0.836−0.896, Fleischers’ r = 0.756; 95% CI: 0.624−0.888). The results of this study indicate a significant correlation between PFS2 and OS, which adds additional evidence to the existing literature of using PFS2 as a surrogate endpoint for OS in patients with PC.

  3. f

    All conditions and results in this study.

    • figshare.com
    xlsx
    Updated Jun 10, 2023
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    Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata (2023). All conditions and results in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0256379.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A-AQ: Actual and estimated number of new cases with confirmed diagnosis and with or without suspected diagnosis of various clinical conditions in Japan from 2015 to 2019 based on data from the MDV and JMDC databases. (XLSX)

  4. f

    Data from: Evaluating the timing of triple therapy initiation for the...

    • tandf.figshare.com
    docx
    Updated Jan 22, 2025
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    Gema Requena; Robert Wood; Risako Ito; Rosie Wild; Chifuku Mita; Poppy Payne; Isao Mukai; Catherine M. Castillo; Steven Gelwicks; Rad Siddiqui; Stephen G. Noorduyn; Toru Oga (2025). Evaluating the timing of triple therapy initiation for the treatment of asthma in Japan: prompt versus delayed [Dataset]. http://doi.org/10.6084/m9.figshare.26879063.v1
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    docxAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Gema Requena; Robert Wood; Risako Ito; Rosie Wild; Chifuku Mita; Poppy Payne; Isao Mukai; Catherine M. Castillo; Steven Gelwicks; Rad Siddiqui; Stephen G. Noorduyn; Toru Oga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In Japan, the optimal initiation timing and efficacy of single-inhaler triple therapy (SITT) in asthma management remain unexplored. This study investigated SITT initiation timing following an asthma exacerbation, and examined patient demographics and clinical characteristics. Observational, retrospective cohort study in patients with asthma aged ≥15 years who initiated SITT following their earliest observed asthma exacerbation (February–November 2021), using data from Japanese health insurance claims databases (JMDC and Medical Data Vision [MDV]). The study period ended May 2022 for JMDC and September 2022 for MDV. Descriptive analyses were performed independently by database. Variables evaluated included timing of SITT initiation post exacerbation (prompt, delayed and late, ≤30, 31–180 and >180 days post index, respectively), patient demographics, clinical characteristics, and pre-index treatment. Of patients in the JMDC and MDV databases, most initiated SITT promptly after an asthma exacerbation, 60.8% (n = 951/1565) and 44.4% (n = 241/543), respectively. Delayed initiation occurred in 22.6% (n = 354/1565) and 26.3% (n = 143/543) of patients, and late initiation occurred in 16.6% (n = 260/1565) and 29.3% (n = 159/543), respectively. Most patients were indexed on a moderate asthma-related exacerbation, 97.1% (n = 1519/1565) and 68.7% (n = 373/543), respectively. Most patients with asthma initiated SITT promptly following a moderate exacerbation, with delayed and late initiation more common among patients with complex clinical profiles. The findings underscore the necessity for future research to examine the interaction between patient characteristics, clinical outcomes, and the timing of SITT initiation to optimize treatment strategies, as clinical practice may vary by exacerbation severity.

  5. グアム 輸出: 薬物、薬剤

    • ceicdata.com
    Updated Aug 17, 2017
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    CEICdata.com (2017). グアム 輸出: 薬物、薬剤 [Dataset]. https://www.ceicdata.com/ja/indicator/guam/exports-medicament
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    Dataset updated
    Aug 17, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    グアム
    Variables measured
    Merchandise Trade
    Description

    グアムの輸出: 薬物、薬剤は、2023に195.107 USD番目を記録しました。前期2022の 293.722 USD番目と比べると下落の結果となりました。グアムの輸出: 薬物、薬剤は年次で更新され、2000から2023の24つの値で平均は 213.129 USD番目。最高値は2016の590.333 USD番目、最低値は2000の0.313 USD番目。輸出: 薬物、薬剤はActiveステータスデータであり、United Nations Conference on Trade and Developmentが発表元です。当データは、World Trend PlusのAssociation: Pharmaceutical and Biotechnology Sector – Table RT.UNCTAD.MDV: Medicament: Exports Value by Individual Economies and Territoriesに格納されています。

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Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata (2023). Number of DPC hospitals in Japan and included in MDV database by year. [Dataset]. http://doi.org/10.1371/journal.pone.0256379.t002
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Number of DPC hospitals in Japan and included in MDV database by year.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 9, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Japan
Description

Number of DPC hospitals in Japan and included in MDV database by year.

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