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首页> 外文期刊>Journal of Pharmacology and Pharmacotherapeutics >Drug approval in India does not match the disease burden: A cross-sectional study
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Drug approval in India does not match the disease burden: A cross-sectional study

机译:一项横断面研究显示,印度的药品批准与疾病负担不符

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Objectives: To assess the correlation between drug approval and disease burden in India. Materials and Methods: A cross sectional study was conducted and data on drug approval for the past 14 years (2000–2013) were downloaded from the central drug standard control organization website in India and the latest data on disease burden from the year 2012 were obtained the World Health Organization website. Mortality and disability (disease adjusted life year) were considered. Drug approval was correlated with disease burden using the Spearman's correlation test. Results: Between 2000 and 2013, a total of 1913 drugs were approved in India. Of these, 838 were fixed-dose combinations and 22 were veterinary drugs, which were excluded from the analysis. Due to a single-drug being used for multiple indications, the final analysis was performed on 1345 indications/drugs. Overall, there was a weak correlation between disease burden and drug approval for the outcomes of mortality (r = 0.207, P = 0.038) and disability (r = 0.278, P = 0.002). Conclusion: The results from this first study assessing the correlation between drug approval and disease burden in India shows a significant mismatch and the urgent need for syncing the research output with the disease burden.
机译:目的:评估印度药物批准与疾病负担之间的相关性。材料和方法:进行了一项横断面研究,并从印度中央药物标准控制组织网站下载了过去14年(2000-2013年)的药物批准数据,并获得了2012年以来疾病负担的最新数据。世界卫生组织网站。考虑了死亡率和残疾(疾病调整生命年)。使用Spearman相关检验将药物批准与疾病负担相关联。结果:从2000年到2013年,印度共批准了1913种药物。其中,有838种为固定剂量组合,有22种为兽药,因此未纳入分析范围。由于将单一药物用于多种适应症,因此对1345种适应症/药物进行了最终分析。总体而言,疾病负担和药物批准与死亡率(r = 0.207,P = 0.038)和残疾(r = 0.278,P = 0.002)之间的相关性较弱。结论:这项第一项研究评估了印度的药物批准与疾病负担之间的相关性,结果表明存在严重的不匹配,并且迫切需要将研究成果与疾病负担同步。

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