Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature.
Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature.
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DOI：
10.1371/journal.pmed.0020334
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发表时间：
2005-12
期刊：
影响因子：
15.8
通讯作者：
Ioannidis JP
中科院分区：
文献类型：
--
作者：
Pan Z;Trikalinos TA;Kavvoura FK;Lau J;Ioannidis JP
假设的流行病学关联受到几种偏见的影响。我们评估了人类基因组流行病学的中文文献是否可以提供关于选择性报道和语言偏见的见解。我们针对13个基因-疾病关联，每个都已经通过荟萃分析进行了评估，包括至少15项非中国研究。我们检索了中国期刊全文数据库中关于相同主题的其他中文研究。我们确定了161篇关于12个基因-疾病关联的中国研究;只有20篇被PubMed索引（7篇英文全文）。6个主题有许多研究（每个主题14-35项），涵盖中国常见疾病。除了一个例外，第一个中国的研究出现了一个时间滞后（2-21年）后，第一个非中国的研究主题。中国的研究显示出比非中国研究更显著的遗传效应，48%的研究本身具有统计学意义，尽管样本量较小（中位数样本量为146 vs 268，p < 0.001）。最大的遗传效应通常见于PubMed索引的中国研究（65%本身具有统计学显著性）。非中国亚裔人群的研究（本身有27%的显著性）也往往比非亚裔人群的研究（本身有17%的显著性）显示出更显著的遗传效应。我们的数据为人类基因组流行病学中选择性报告和语言偏见的相互作用提供了证据。这些偏见可能不仅限于中国文献，而且表明需要在分子群体遗传学和流行病学研究中建立一个全球性的、透明的、全面的观点。以中文文献为例，John Ioannelman和同事表明，选择性报告和语言偏见在人类基因组流行病学中经常发生
Postulated epidemiological associations are subject to several biases. We evaluated whether the Chinese literature on human genome epidemiology may offer insights on the operation of selective reporting and language biases. We targeted 13 gene-disease associations, each already assessed by meta-analyses, including at least 15 non-Chinese studies. We searched the Chinese Journal Full-Text Database for additional Chinese studies on the same topics. We identified 161 Chinese studies on 12 of these gene-disease associations; only 20 were PubMed-indexed (seven English full-text). Many studies (14–35 per topic) were available for six topics, covering diseases common in China. With one exception, the first Chinese study appeared with a time lag (2–21 y) after the first non-Chinese study on the topic. Chinese studies showed significantly more prominent genetic effects than non-Chinese studies, and 48% were statistically significant per se, despite their smaller sample size (median sample size 146 versus 268, p < 0.001). The largest genetic effects were often seen in PubMed-indexed Chinese studies (65% statistically significant per se). Non-Chinese studies of Asian-descent populations (27% significant per se) also tended to show somewhat more prominent genetic effects than studies of non-Asian descent (17% significant per se). Our data provide evidence for the interplay of selective reporting and language biases in human genome epidemiology. These biases may not be limited to the Chinese literature and point to the need for a global, transparent, comprehensive outlook in molecular population genetics and epidemiologic studies in general. Using the chinese literature as an example, John Ioannidis and colleagues show that selective reporting and language biases occur frequently in human genome epidemiology
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影响因子：
168.9
作者：
Ioannidis, JPA;Trikalinos, TA;Contopoulos-Ioannidis, DG
通讯作者：
Contopoulos-Ioannidis, DG
影响因子：
15.8
作者：
Ioannidis, JPA
通讯作者：
Ioannidis, JPA
影响因子：
4.7
作者：
Benhamou, S;Lee, WJ;Taioli, E
通讯作者：
Taioli, E
DOI：
10.1111/j.1749-6632.1993.tb26343.x
发表时间：
1993-01-01
期刊：
DOING MORE GOOD THAN HARM: THE EVALUATION OF HEALTH CARE INTERVENTIONS
影响因子：
--
作者：
DICKERSIN, K;MIN, YI
通讯作者：
MIN, YI
影响因子：
2
作者：
Higgins, JPT;Thompson, SG
通讯作者：
Thompson, SG