Related Experiment Video
Updated: Feb 1, 2026

08:50
In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors
Published on: July 16, 2018
8.7K
Pediatric Surgical Risk Assessment Tools: A Systematic Review
Dabin Ji1, Steven L Goudy2, Mehul V Raval3
1Mercer University School of Medicine, Savannah, Georgia.
The Journal of Surgical Research
|December 12, 2018
Summary
This review identifies pediatric surgical risk tools to predict complications. Common factors include cardiovascular disease, neurological disease, and prematurity, showing strong predictive accuracy.
Area of Science:
- Pediatric Surgery
- Clinical Risk Assessment
- Systematic Review
Background:
- Pediatric surgical risk assessment tools aid in predicting postoperative complications.
- These tools support preoperative counseling and surgical decision-making for pediatric patients.
- Existing tools aim for broad applicability across various pediatric surgical specialties.
Purpose of the Study:
- To systematically review and compare existing pediatric surgical risk assessment tools.
- To identify tools applicable across multiple pediatric surgical specialties.
- To evaluate the predictive performance of these risk assessment tools.
Main Methods:
- Systematic literature review adhering to Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines.
- Inclusion criteria focused on broadly applicable pediatric preoperative risk assessment tools for complications or mortality.
- Quality and risk of bias were assessed using the Newcastle-Ottawa Scale.
Main Results:
- Four studies met the inclusion criteria for the systematic review.
- Common risk factors identified across tools include cardiovascular disease, neurological disease, and prematurity.
- The developed risk score models demonstrated good to strong concordance with inpatient mortality or postoperative complications (c-statistic 0.77–0.98).
Conclusions:
- Novel, generally applicable pediatric surgical risk assessment tools were identified for preoperative risk stratification.
- Further research is necessary to evaluate the generalizability of these tools across diverse populations and surgical procedures.
Related Concept Videos
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
325
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
325
Relative Risk
2.1K
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...
2.1K
Random and Systematic Errors
14.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Systematic Sampling Method
13.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.3K

