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Related Concept Videos

Regression Toward the Mean01:52

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...

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Related Experiment Video

Updated: Jun 10, 2026

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
04:18

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice

Published on: October 10, 2025

Predicting antepartum stillbirth.

Gordon C S Smith1

  • 1Obstetrics and Gynaecology, Cambridge University, Rosie Maternity Hospital, Cambridge, United Kingdom. gcss2@cam.ac.uk

Clinical Obstetrics and Gynecology
|July 28, 2010
PubMed
Summary
This summary is machine-generated.

Stillbirth, a serious pregnancy complication affecting 1 in 200 births, has many causes. This review identifies key maternal characteristics, blood tests, and biophysical tests to assess stillbirth risk.

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Last Updated: Jun 10, 2026

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
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Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice

Published on: October 10, 2025

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo
12:17

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo

Published on: August 2, 2017

Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Medicine
  • Maternal-Fetal Medicine

Background:

  • Stillbirth is a significant adverse pregnancy outcome, impacting approximately 1 in 200 pregnancies.
  • The causes of stillbirth are diverse, encompassing fetal abnormalities, infections, maternal conditions like preeclampsia, placental issues, and unexplained factors.
  • Identifying women at increased risk is crucial for timely intervention and improved perinatal outcomes.

Purpose of the Study:

  • To review and summarize factors associated with an increased risk of stillbirth.
  • To consolidate information on maternal characteristics, laboratory tests, and biophysical assessments for risk stratification.
  • To provide a comprehensive overview for clinicians managing high-risk pregnancies.

Main Methods:

  • Systematic review of existing literature on stillbirth risk factors.
  • Analysis of studies examining maternal demographics and medical history.
  • Evaluation of diagnostic accuracy for blood tests and biophysical assessments in predicting stillbirth.

Main Results:

  • Maternal age, pre-existing medical conditions, and previous pregnancy history are significant risk indicators.
  • Specific blood markers and abnormal findings in fetal biophysical tests are associated with elevated stillbirth risk.
  • A combination of factors often provides a more accurate risk assessment than individual parameters.

Conclusions:

  • Several maternal characteristics and diagnostic tests can identify pregnancies at higher risk for stillbirth.
  • Early identification allows for closer monitoring and tailored management strategies.
  • Further research can refine risk prediction models for stillbirth prevention.