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人多力量大。

Power in numbers.

机构信息

Divisions of Clinical Epidemiology and Rheumatology, McGill University Health Centre, Montreal, Québec, Canada.

Division of Arthritis & Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK.

出版信息

Rheumatology (Oxford). 2018 Jul 1;57(suppl_5):v40-v47. doi: 10.1093/rheumatology/key111.

Abstract

Collecting useful data on a sufficiently large cohort of pregnancies in women with rheumatic disease is a challenge. The original manuscripts that demonstrated the dangers of pregnancy in women with lupus were relatively small case series. As larger prospective cohorts were collected by university-based experts, however, greater safety was demonstrated and the current norms of treatment were determined. In recent years, larger administrative databases have been tapped to study pregnancies not managed within university clinics and to study the long-term impact of maternal rheumatic disease on the offspring. Each of these methods of study has both strengths and weaknesses, adding a unique piece of data to our overall knowledge. We will discuss a range of approaches to the study of rheumatic disease in pregnancy, covering the potential benefits that each brings as well as the biases that can impact study results. When the results of studies are viewed through these lenses, each can contribute to our larger understanding of the rheumatic diseases in pregnancy.

摘要

收集风湿性疾病女性妊娠的大量有用数据是一项挑战。最初证明狼疮女性妊娠危险的原始手稿是相对较小的病例系列。然而,随着大学专家收集更大的前瞻性队列,更大的安全性得到了证明,并且确定了当前的治疗规范。近年来,利用更大的行政数据库研究了不在大学诊所管理的妊娠,并研究了母体风湿性疾病对后代的长期影响。这些研究方法各有优缺点,为我们的整体知识增加了独特的数据。我们将讨论一系列研究妊娠风湿性疾病的方法,涵盖每种方法带来的潜在益处以及可能影响研究结果的偏差。当通过这些视角看待研究结果时,每种方法都可以帮助我们更好地理解妊娠风湿性疾病。

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本文引用的文献

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An Introduction to Health Care Administrative Data.医疗保健管理数据简介。
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