整合分析在HIV與肺結核的關係

由於結核病的問題受到重視，到目前為止，已經有許多的研究報告探討其治療方法、發病的原因以及與HIV之間的關係，而在這些研究報告中，結論也不盡相同，使得閱讀者無法得知其真正的結果。在本論文中，我們將使用meta analysis將過去眾多結核病復發的研究資料進行整合，並討論結核病的復發與HIV感染之間的關係。文章的收集來源為Medline資料庫，使用Tuberculosis, Pulmonary及Drug Therapy為主題進行搜索，用odds ratio當作effect size進行整合，綜合出一個更具參考價值的結論。隨機效用模型考慮各研究資料之間的差異，因此在資料間存在異質性時，我們使用隨機效用模型來整合資料，計算後的結果為HIV陽性的結核病患者復發的勝算是HIV陰性的結核病患者復發的勝算的2倍。以往的研究所產生的不同結果，在經過meta analysis的整合之後，可以獲得更有用的結論，解決以往不同研究結果造成的矛盾。

關鍵字

勝算比；肺結核；整合分析； HIV

並列摘要

As a result of the problem of tuberculosis has been valued, so far there have been many studies to confer the way of treatment, cause of disease and the relation with HIV. In these studies, the results are not the same, which make the readers can’t get the real result. In this paper, we will use meta analysis to integrate the data of relapse of tuberculosis for previous studies, and discuss the relationship between the relapse of tuberculosis and HIV infection. The source of this article is Medline database, we search the topic with relation to Tuberculosis, Pulmonary and Drug Therapy, moreover, we use the odds ratios as effect size and combine them to synthesize a more useful conclusions. The random effect model calculates the difference between studies, therefore, when the studies have existence of heterogeneity, we use the random effect model to integrate data. The result of this paper, the odds of relapse on HIV positive tuberculosis patients is two times of relapse on HIV negative tuberculosis patients. In the past, the studies had different results, after using meta analysis to integrate, we can get more useful conclusion to solve the contradiction of these studies.

並列關鍵字

odds ratio ； tuberculosis ； Meta analysis ； HIV

參考文獻

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整合分析在HIV與肺結核的關係

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