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市場調査レポート

特発性肺線維症:主要9ヶ国の市場予測 (2015〜2025年)

Idiopathic Pulmonary Fibrosis Forecast in 9 Major Markets 2015-2025

発行 Black Swan Analysis 商品コード 346435
出版日 ページ情報 英文 38 Pages
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特発性肺線維症:主要9ヶ国の市場予測 (2015〜2025年) Idiopathic Pulmonary Fibrosis Forecast in 9 Major Markets 2015-2025
出版日: 2015年12月08日 ページ情報: 英文 38 Pages
概要

特発性肺線維症 (IPF) とは、原因不明の慢性・進行性の線維性間質性肺炎と定義されています。特発性の疾患ではありますが、様々な煤煙への暴露や喫煙など、可能性の高い因子はいくつか特定されています。

当レポートでは、世界の主要9ヶ国 (米国、フランス、ドイツ、イタリア、スペイン、英国、ブラジル、日本、インド) における特発性肺線維症の発症状況について分析し、疾患の概要や現時点での有病者数、性別・年代別 (5歳区切り) の詳細状況、地域別・民族別傾向、リスク要因、疾患の診断と予後、主な症状や合併症、将来的な動向見通し (今後10年間分) といった情報を取りまとめてお届けいたします。

目次

  • 図表
  • イントロダクション
  • 疾患の原因
  • リスク要因と予防法
  • 疾患の診断方法
  • 地域別/人種別の差異
  • 疾患の予後と臨床経過
  • 疾患に関連する主な併存症/特徴
  • 患者数の定量化の方法
    • 追加的データ (ご要望に応じて提供)
  • 特発性肺線維症 (IPF) の最大の有病者数
    • IPFの種類
    • GAPモデルによる病期判定
    • IPFの併発症
    • IPF患者向けの換気支援
  • 本文中の略語一覧
  • Black Swanのその他の刊行物
  • Black Swan Analysisの患者ベースのオンライン・データベース
  • 患者ベースのサービス
  • オンライン価格動向データ/プラットフォーム
  • 参考文献
  • 付録

図表一覧

目次
Product Code: IPFS0011215

Idiopathic pulmonary fibrosis (IPF) is defined as a specific form of chronic, progressive, fibrosing interstitial pneumonia of unknown cause. The disease is idiopathic, although a number of possible causes have been identified, including exposure to various dusts and smoking. This report provides the current prevalent population for IPF across 9 Major Markets (USA, France, Germany, Italy, Spain, UK, Brazil, Japan and India) split by gender and 5-year age cohort. Along with the current prevalence, the report provides a breakdown of the course of the disease, progressive vs. stable, with the definite diagnosed IPF patient population. The report also contains a disease overview of the risk factors, disease diagnosis and prognosis along with specific variations by geography and ethnicity.

Providing a value-added level of insight from the analysis team at Black Swan, several of the main symptoms and co-morbidities of IPF have been quantified and presented alongside the overall prevalence figures. These sub-populations within the main disease are also included at a country level across the 10-year forecast snapshot.

Main symptoms and co-morbidities for IPF include:

  • GORD
  • Cardiovascular Disease
  • Presence of clubbing
  • Air ventilation assistance

This report is built using data and information sourced from the proprietary Epiomic patient segmentation database. To generate accurate patient population estimates, the Epiomic database utilises a combination of several world class sources that deliver the most up to date information form patient registries, clinical trials and epidemiology studies. All of the sources used to generate the data and analysis have been identified in the report.

Reason to buy

  • Able to quantify patient populations in global IPF market to target the development of future products, pricing strategies and launch plans.
  • Gain further insight into the prevalence of the subdivided types of IPF and identify patient segments with high potential. This would include patients diagnosed with definite or probable IPF.
  • Delivery of more accurate information for clinical trials in study sizing and realistic patient recruitment for various countries.
  • Provide a level of understanding on the impact from specific co-morbid conditions on IPF's prevalent population.
  • Identify sub-populations within IPF which require treatment.
  • Gain an understanding of the specific markets that have the largest number of IPF patients.

Coverage

  • US
  • UK
  • FR
  • DE
  • IT
  • ES
  • JP
  • BR
  • IN

Table of Contents

  • List of Tables and Figures
  • Introduction
  • Cause of the Disease
  • Risk Factors and Prevention
  • Diagnosis of the Disease
  • Variation by Geography/ Ethnicity
  • Disease Prognosis and Clinical Course
  • Key Co-Morbid Conditions / Features associated with the Disease
  • Methodology for Quantification of Patient Numbers
    • Additional data available on request
  • Top-Line Prevalence for Idiopathic Pulmonary Fibrosis
    • Type of IPF
    • GAP Staging
    • Co-morbid Conditions in IPF
    • Air Ventilation Assistance in IPF Patients
  • Abbreviations used in the Report
  • Other Black Swan Analysis Publications
  • Black Swan Analysis Online Patient-Based Databases
  • Patient-Based Offering
  • Online Pricing Data and Platforms
  • References
  • Appendix

List of Tables and Figures

  • GAP Index for IPF Staging
  • Gap Staging System
  • Prevalence of IPF, total (000s)
  • Prevalence of IPF, males (000s)
  • Prevalence of IPF, females (000s)
  • Type of IPF present in patients, total (000s)
  • Course of disease in definite IPF patients, total (000s)
  • GAP stages in patients with definite IPF, total (000s)
  • GORD in patients with IPF, total (000s)
  • Presence of clubbing in patients with IPF, total (000s)
  • Cardiovascular disease in patients with IPF, total (000s)
  • Supplemental oxygen use in patients with IPF, total (000s)
  • Abbreviations and Acronyms used in the report
  • USA Prevalence of IPF by 5-yr age cohort, males (000s)
  • USA Prevalence of IPF by 5-yr age cohort, females (000s)
  • France Prevalence of IPF by 5-yr age cohort, males (000s)
  • France Prevalence of IPF by 5-yr age cohort, females (000s)
  • Germany Prevalence of IPF by 5-yr age cohort, males (000s)
  • Germany Prevalence of IPF by 5-yr age cohort, females (000s)
  • Italy Prevalence of IPF by 5-yr age cohort, males (000s)
  • Italy Prevalence of IPF by 5-yr age cohort, females (000s)
  • Spain Prevalence of IPF by 5-yr age cohort, males (000s)
  • Spain Prevalence of IPF by 5-yr age cohort, females (000s)
  • United Kingdom Prevalence of IPF by 5-yr age cohort, males (000s)
  • United Kingdom Prevalence of IPF by 5-yr age cohort, females (000s)
  • Brazil Prevalence of IPF by 5-yr age cohort, males (000s)
  • Brazil Prevalence of IPF by 5-yr age cohort, females (000s)
  • Japan Prevalence of IPF by 5-yr age cohort, males (000s)
  • Japan Prevalence of IPF by 5-yr age cohort, females (000s)
  • India Prevalence of IPF by 5-yr age cohort, males (000s)
  • India Prevalence of IPF by 5-yr age cohort, females (000s)
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