Institute of Gender in Medicine, Charité-Universitätsmedizin, Berlin, Germany.
BMC Med. 2010 Nov 10;8:70. doi: 10.1186/1741-7015-8-70.
The incorporation of sex and gender-specific analysis in medical research is increasing due to pressure from public agencies, funding bodies, and the clinical and research community. However, generations of knowledge and publication trends in this discipline are currently spread over distinct specialties and are difficult to analyze comparatively.
Using a text-mining approach, we have analysed sex and gender aspects in research within nine clinical subspecialties--Cardiology, Pulmonology, Nephrology, Endocrinology, Gastroenterology, Haematology, Oncology, Rheumatology, Neurology--using six paradigmatic diseases in each one. Articles have been classified into five pre-determined research categories--Epidemiology, Pathophysiology, Clinical research, Management and Outcomes. Additional information has been collected on the type of study (human/animal) and the number of subjects included. Of the 8,836 articles initially retrieved, 3,466 (39%) included sex and gender-specific research and have been further analysed.
Literature incorporating sex/gender analysis increased over time and displays a stronger trend if compared to overall publication increase. All disciplines, but cardiology (22%), demonstrated an underrepresentation of research about gender differences in management, which ranges from 3 to 14%. While the use of animal models for identification of sex differences in basic research varies greatly among disciplines, studies involving human subjects are frequently conducted in large cohorts with more than 1,000 patients (24% of all human studies).
Heterogeneity characterizes sex and gender-specific research. Although large cohorts are often analysed, sex and gender differences in clinical management are insufficiently investigated leading to potential inequalities in health provision and outcomes.
由于公共机构、资助机构以及临床和研究界的压力,将性别分析纳入医学研究的情况越来越多。然而,该学科的几代知识和出版趋势目前分布在不同的专业领域,难以进行比较分析。
我们使用文本挖掘方法,分析了九个临床亚专科(心脏病学、肺病学、肾脏病学、内分泌学、胃肠病学、血液学、肿瘤学、风湿病学、神经病学)中与性别相关的研究,每个专科都使用六种范例疾病。文章被分为五类预先确定的研究类别 - 流行病学、病理生理学、临床研究、管理和结果。还收集了关于研究类型(人体/动物)和纳入的受试者数量的额外信息。在最初检索到的 8836 篇文章中,有 3466 篇(39%)包含性别分析,这些文章已进一步分析。
随着时间的推移,纳入性别分析的文献数量不断增加,如果与整体出版物的增加相比,这种趋势更为明显。除心脏病学(22%)外,所有学科都表现出对管理中性别差异研究的代表性不足,其范围从 3%到 14%不等。虽然在基础研究中使用动物模型来确定性别差异的方法在不同学科之间差异很大,但涉及人体受试者的研究通常在超过 1000 名患者的大队列中进行(所有人体研究的 24%)。
性别特异性研究具有异质性。尽管经常分析大队列,但在临床管理中对性别差异的研究不足,这可能导致卫生服务提供和结果存在不平等。