Related Experiment Video
Updated: May 23, 2026

06:55
Assessment of Maternal Vascular Remodeling During Pregnancy in the Mouse Uterus
Published on: December 5, 2015
A systematic review to calculate background miscarriage rates using life table analysis
Lyndsay Ammon Avalos1, Claudia Galindo, De-Kun Li
1Division of Research, Kaiser Permanente, Oakland, California, USA. Lyndsay.A.Avalos@kp.org
Summary
This study calculated miscarriage risk by gestational week. Early pregnancy (before 14 weeks) shows higher miscarriage rates, with cumulative risk between 11-22% from weeks 5-20.
Area of Science:
- Reproductive Health
- Perinatology
- Epidemiology
Background:
- Miscarriage is a common pregnancy complication.
- Accurate risk assessment by gestational week is crucial for patient counseling.
- Existing data may lack detailed weekly risk stratification.
Purpose of the Study:
- To calculate expected miscarriage rates by gestational week (5-20).
- To determine the cumulative risk of miscarriage during early gestation.
- To estimate the remaining risk of miscarriage throughout the first 20 weeks.
Main Methods:
- Systematic literature review of MEDLINE and reference lists.
- Inclusion of studies with gestational age at entry, outcome, and outcome timing.
- Application of Life Table Analysis Methods for risk calculation.
Main Results:
- Weekly miscarriage rates exceeded 20 per 1000 woman-weeks before week 13.
- Rates decreased below 10 per 1000 woman-weeks by week 14.
- Cumulative miscarriage risk (weeks 5-20) ranged from 11% to 22%.
Conclusions:
- Significant variation in miscarriage rates and risks observed in early gestation (<14 weeks).
- Data provide a range of background miscarriage rates, cumulative, and remaining risks by gestational week.
- Findings aid in understanding and counseling regarding early pregnancy loss risk.
Related Concept Videos
Life Tables
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Applications of Life Tables
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Actuarial Approach
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Regression Toward the Mean
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 researchers try to extrapolate results...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
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, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...