Gheibi Sevda, Mahmoodzadeh Alireza, Kashfi Khosrow, Jeddi Sajad, Ghasemi Asghar
Endocrine Physiology Research Center, Research institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Maternal and Childhood Obesity Research Center, Urmia University of Medical Sciences, Urmia, Iran.
Int J Endocrinol Metab. 2019 Oct 8;17(4):e95216. doi: 10.5812/ijem.95216. eCollection 2019 Oct.
Graphs, an effective form of data presentation, are used for summarizing complex information and making them easier to understand. Extracting numerical data from graphs, which is commonly required in systematic reviews and meta-analyses, is however a challenging issue. Since this kind of results presentation is common, ignorance of such data may result in publication bias when conducting meta-analyses. On the other hand, contacting the authors of a particular publication in order to retrieve the data may take a long time and is often not very fruitful. In this case, there are a few software and methods that may be used for data extraction; however, using these software is costly and not simple as well as different types of graphs need different extraction methods. Here, we have described a simple reproducible method for extracting data from graphs using Adobe Photoshop.
图表作为一种有效的数据呈现形式,用于总结复杂信息并使其更易于理解。然而,从图表中提取数值数据是一个具有挑战性的问题,而这在系统评价和荟萃分析中通常是必需的。由于这种结果呈现很常见,在进行荟萃分析时忽略此类数据可能会导致发表偏倚。另一方面,联系特定出版物的作者以获取数据可能需要很长时间,而且往往成效不大。在这种情况下,有一些软件和方法可用于数据提取;然而,使用这些软件成本高昂且并不简单,而且不同类型的图表需要不同的提取方法。在此,我们描述了一种使用Adobe Photoshop从图表中提取数据的简单可重复方法。