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Impact of Study Design on Reported Incidences of Acute Mountain Sickness: A Systematic Review

机译:研究设计对急性山病发病率的影响:系统审查

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Waeber, Baptiste, Bengt Kayser, Lionel Dumont, Christopher Lysakowski, Martin R. Tramer, and Nadia Elia. Impact of study design on reported incidences of acute mountain sickness: A systematic review. High Alt Med Biol 16:204-215, 2015.-Aims: Published incidences of acute mountain sickness (AMS) vary widely. Reasons for this variation, and predictive factors of AMS, are not well understood. We aimed to identify predictive factors that are associated with the occurrence of AMS, and to test the hypothesis that study design is an independent predictive factor of AMS incidence. We did a systematic search (Medline, bibliographies) for relevant articles in English or French, up to April 28, 2013. Studies of any design reporting on AMS incidence in humans without prophylaxis were selected. Data on incidence and potential predictive factors were extracted by two reviewers and crosschecked by four reviewers. Associations between predictive factors and AMS incidence were sought through bivariate and multivariate analyses for different study designs separately. Association between AMS incidence and study design was assessed using multiple linear regression.Results: We extracted data from 53,603 subjects from 34 randomized controlled trials, 44 cohort studies, and 33 cross-sectional studies. In randomized trials, the median of AMS incidences without prophylaxis was 60% (range, 16%-100%); mode of ascent and population were significantly associated with AMS incidence. In cohort studies, the median of AMS incidences was 51% (0%-100%); geographical location was significantly associated with AMS incidence. In cross-sectional studies, the median of AMS incidences was 32% (0%-68%); mode of ascent and maximum altitude were significantly associated with AMS incidence. In a multivariate analysis, study design (p=0.012), mode of ascent (p=0.003), maximum altitude (p0.001), population (p=0.002), and geographical location (p0.001) were significantly associated with AMS incidence. Age, sex, speed of ascent, duration of exposure, or history of AMS were inconsistently reported and therefore not further analyzed.Conclusions: Reported incidences and identifiable predictive factors of AMS depend on study design.
机译:Waeber,Baptiste,Bengt Kayser,Lionel Dumont,Christopher Lysakowski,Martin R. Tramer和Nadia Elia。研究设计对急性山疾病发病率的影响:系统审查。高ALT MED BIOL 16:2015年 - 目标:出版的急性山病(AMS)的发表率广泛变化。这种变异的原因,以及AMS的预测因素并不顺利。我们旨在识别与AMS发生相关的预测因素,并测试研究设计是AMS发病率的独立预测因素的假设。我们为2013年4月28日的英语或法语中的相关文章进行了系统的搜索(Medline,书目)。选择了对没有预防的人类发病率的任何设计报告的研究。有关发病率和潜在预测因素的数据被两名审稿人提取,并通过四名审稿人交叉检查。通过分别对不同研究设计的双变量和多变量分析寻求预测因子和AMS发病率之间的关联。使用多元线性回归评估AMS发病率和研究设计之间的关联。结果:我们从34项随机对照试验,44项队列研究和33项横截面研究中提取了53,603个受试者的数据。在随机试验中,没有预防的AMS发病率的中位数为60%(范围,16%-100%);患有AMS发病率显着相关的上升和人口。在队列研究中,AMS发病的中位数为51%(0%-100%);地理位置显着与AMS发病有关。在横截面研究中,AMS发病的中位数为32%(0%-68%);上升和最大高度的模式与AMS发病率显着相关。在多变量分析中,研究设计(p = 0.012),上升方式(p = 0.003),最大高度(p <0.001),群体(p = 0.002)和地理位置(p <0.001)与AMS显着相关发病率。年龄,性别,上升的速度,曝光持续时间,或者AMS的历史记录不一致地报道,因此没有进一步分析。结论:报告的发病率和可识别的AMS预测因素依赖于研究设计。

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