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糖尿病与结核病治疗结局不佳:数据解读与分析中的问题及意义。

Diabetes and poor tuberculosis treatment outcomes: issues and implications in data interpretation and analysis.

机构信息

Population Health Research Institute, St George's University of London, London, UK.

Facultad de Medicina Alberto Hurtado and Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru; TB Centre, London School of Hygiene & Tropical Medicine, London, UK.

出版信息

Int J Tuberc Lung Dis. 2017 Dec 1;21(12):1214-1219. doi: 10.5588/ijtld.17.0211.

Abstract

Tuberculosis (TB) remains one of the 10 leading causes of death worldwide, especially in low- and middle-income countries. We conducted a systematic review and meta-analysis including 88 studies examining the association between diabetes mellitus (DM) and TB treatment outcomes. However, we found several common methodological problems among them, including inappropriate adjustments for confounding factors, not using optimal statistical methods for 'time to event' data, misclassification in exposure (DM) and outcomes (TB treatment outcomes) due to study design and non-standardisation of definitions, misunderstanding of basic study design concept, standardisation of TB treatment outcomes and quality control of publications. Many of these problems would apply more broadly to other 'risk factors' for poor TB treatment outcomes. These issues need to be addressed and resolved to improve the quality of the studies and provide more accurate results for policy makers in the future to tackle the burden of TB.

摘要

结核病(TB)仍然是全球十大死因之一,尤其是在低收入和中等收入国家。我们进行了一项系统评价和荟萃分析,其中包括 88 项研究,以评估糖尿病(DM)与结核病治疗结果之间的关系。然而,我们发现其中存在一些常见的方法学问题,包括对混杂因素的不当调整、未使用最佳统计方法来分析“时间到事件”数据、由于研究设计和定义的非标准化,导致暴露(DM)和结局(TB 治疗结果)的分类错误、对基本研究设计概念的误解、TB 治疗结果的标准化以及出版物的质量控制。这些问题中的许多问题将更广泛地适用于其他结核病治疗结果不佳的“危险因素”。为了提高研究质量,并为未来的决策者提供更准确的结果以应对结核病负担,这些问题需要得到解决。

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