Related Experiment Video

Updated: Aug 16, 2026

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
09:40

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Published on: June 11, 2015

Customized growth curves

J Gardosi1

  • 1University Hospital, Queen's Medical Center, Nottingham, United Kingdom.

Clinical Obstetrics and Gynecology
|January 16, 1998
PubMed

Insights

Customized fetal growth charts improve the detection of growth restriction and reduce false diagnoses. However, these benefits are not yet integrated into early screening strategies for fetal growth restriction.

Area of Science:

  • Obstetrics and Gynecology
  • Fetal Medicine
  • Neonatal Care

Background:

  • Fetal growth restriction is a primary concern in antenatal surveillance.
  • Audit data reveal a strong link between fetal growth restriction and antepartum stillbirths.

Purpose of the Study:

  • To evaluate the effectiveness of customized growth charts in assessing fetal growth and birth weight.
  • To determine if customized charts improve the detection of true fetal growth restriction and reduce false positives.

Main Methods:

  • Utilizing individualized physiologic variables to create customized fetal growth curves.
  • Comparing the diagnostic accuracy of customized charts against standard methods for identifying intrauterine growth restriction.

Main Results:

  • Customized growth charts enhance the assessment of fetal growth and birth weight.
  • These charts increase the detection rate of true fetal growth restriction.
  • A reduction in false-positive diagnoses of intrauterine growth restriction was observed.

Conclusions:

  • Customized growth charts offer significant advantages in identifying fetal growth restriction.
  • Further research is needed to translate these advantages into improved screening strategies for early detection.

More Related Videos

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth11:19

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

Precise, High-throughput Analysis of Bacterial Growth09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

Related Concept Videos

Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Bacterial Growth Curve01:28

Bacterial Growth Curve

The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
Guidelines for Sketching a Curve01:23

Guidelines for Sketching a Curve

Curve sketching is a systematic method for understanding the overall behavior of a function by analyzing its key mathematical features. A function defines a curve on the coordinate plane, where the horizontal axis represents the input variable and the vertical axis represents the output. The process begins by determining the domain, which specifies the set of input values for which the function is defined and establishes the horizontal extent of the graph.Intercepts with the horizontal and...
Exponential Equations for Modeling Growth01:26

Exponential Equations for Modeling Growth

Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is the relative...