相关实验视频
Updated: Sep 15, 2025

08:49
External Cephalic Version: Is it an Effective and Safe Procedure?
Published on: June 6, 2020
14.7K
什么是最安全的人口级剖腹产分娩率? 一项使用自然变异的全国性队列研究
Dag Moster1,2, Allen J Wilcox3,4, Rolv Terje Lie1,4
1Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
概括
挪威的剖腹产率为10%,与20%的比率相比,与新生儿脑病和脑的风险更高有关. 这项研究强调了剖腹产分娩率对母亲和婴儿健康结果的影响.
科学领域:
- 产科和妇科 产科和妇科
- 公共卫生 公共卫生
- 新生儿医学 新生儿医学
背景情况:
- 剖腹产 (CS) 的最佳率长期以来一直受到争议,通常在没有强有力的证据的情况下建议10-15%.
- 挪威的医疗保健系统提供了一个独特的环境来研究CS率的变化及其对健康结果的影响,这是由于普遍获得高质量的护理.
研究的目的:
- 调查当地剖腹产率与挪威各种孕产妇和婴儿健康结果之间的关联.
- 提供数据,为正在进行的关于最佳剖腹产率的讨论提供信息.
主要方法:
- 使用1995-2014年挪威出生数据进行了前性国家队列研究.
- 分析了435个市镇的每年剖腹产率和健康结果,以母亲的住所作为分析单位,以减轻转诊偏差.
- 根据分析前两年和每年之后的数据计算率,以尽量减少指示偏差,并根据年度和灵敏度分析进行调整.
主要成果:
- 在8647个市政年份组合中,分析了超过117万次交付.
- 剖腹产的发产率在各市区的10%到20%之间,平均为16%.
- 不良结果,包括周围眼,新生儿脑病,脑和死胎,在较低的CS率 (约10%),更频繁,而严重的母亲出血较少.
结论:
- 在挪威,剖腹产产率为10%与新生儿脑病和脑的风险显著增加,而这一比例为20%.
- 这些发现表明,在观察到的范围内,较高的剖腹产率可能与在资源充足的医疗保健系统中改善婴儿神经结果有关.
相关概念视频
Bias in Epidemiological Studies
695
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
695
Relative Risk
351
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
351
Regression Toward the Mean
6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
178
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
178
Study Designs in Epidemiology
422
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
422
Confounding in Epidemiological Studies
266
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
266

