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‘Quality in quality out’ a stepwise approach to evidence-based medicine for rare diseases promoted by multiple endocrine neoplasia type 1

机译:优质优质是循序渐进的循证医学方法用于治疗多发性内分泌肿瘤1型引起的罕见疾病

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摘要

Rare diseases pose specific challenges in the field of medical research to provide physicians with evidence-based guidelines derived from studies with sufficient quality. An example of these rare diseases is multiple endocrine neoplasia type 1 (MEN1), which is an autosomal dominant endocrine tumor syndrome with an estimated occurrence rate of 2–3 per 100,000. For this complex disease, characterized by multiple endocrine tumors, it proves difficult to perform both adequate and feasible studies. The opinion of patients themselves is of utmost importance to identify the gaps in the evidence-based medicine regarding clinical care. In the search for scientific answers to clinical research questions, the aim for best available evidence is obvious. Observational studies within patient cohorts, although prone to bias, seem the most feasible study design regarding the disease prevalence. Knowledge and adaptation to all types of bias is demanded in the strive for answers. Guided by our research on MEN1 patients, we elaborate on strategies to identify sufficient patients, to maximize and maintain patient enrolment and to standardize the data collection process. Preferably, data collection is performed prospectively, however, under certain conditions, data storage in a longitudinal retrospective database with a disease-specific framework is suitable. Considering the global challenges on observational research on rare diseases, we propose a stepwise approach from clinical research questions to scientific answers.
机译:稀有疾病在医学研究领域提出了特殊的挑战,以向医生提供源自具有足够质量的研究的循证指南。这些罕见疾病的一个例子是1型多发性内分泌肿瘤(MEN1),这是一种常染色体显性内分泌肿瘤综合征,估计发病率为2-3 / 100,000。对于这种以多种内分泌肿瘤为特征的复杂疾病,事实证明很难进行充分和可行的研究。患者自己的意见对于确定循证医学与临床护理之间的差距至关重要。在寻找临床研究问题的科学答案时,寻求最佳证据的目标是显而易见的。在患者队列中进行的观察性研究尽管容易产生偏差,但似乎是关于疾病患病率最可行的研究设计。寻求答案时需要知识和对所有类型偏见的适应。以我们对MEN1患者的研究为指导,我们详细介绍了识别足够患者,最大化和维持患者入组率以及标准化数据收集过程的策略。优选地,数据收集是前瞻性地进行的,但是,在某些条件下,将数据存储在具有疾病特定框架的纵向回顾性数据库中是合适的。考虑到稀有疾病观察研究的全球挑战,我们提出了从临床研究问题到科学答案的逐步方法。

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