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Review and Preview

Review and Preview

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...

Review and Preview

Review and Preview

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...

Random and Systematic Errors

Random and Systematic Errors

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...

Directing Effect of Substituents: meta-Directing Groups

Directing Effect of Substituents: meta-Directing Groups

Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...

Systematic Sampling Method

Systematic Sampling Method

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...

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...

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Related Experiment Video

Updated: Feb 6, 2026

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

Best practices for MRI systematic reviews and meta-analyses.

Trevor A McGrath¹, Patrick M Bossuyt², Paul Cronin³

¹University of Ottawa Department of Radiology, Ottawa, ON, Canada.

Journal of Magnetic Resonance Imaging : JMRI

|August 14, 2018

Summary

This review offers guidance on best practices for systematic reviews of diagnostic test accuracy, particularly for MRI imaging. It addresses unique challenges and opportunities in this specialized area of research.

Keywords:

diagnostic test accuracy meta-analysis systematic review

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Area of Science:

Medical Imaging
Diagnostic Accuracy Research
Systematic Review Methodology

Background:

Systematic reviews synthesize research evidence using explicit methods.
Meta-analysis statistically combines results from multiple studies.
Diagnostic test accuracy reviews face distinct methodological challenges compared to intervention reviews.

Purpose of the Study:

To provide guidance on best practices for systematic reviews of diagnostic test accuracy.
To highlight challenges and opportunities specific to MRI imaging in diagnostic accuracy reviews.
To offer resources for improving methodology and reporting in this field.

Main Methods:

The review synthesizes current best practices in systematic review methodology.
It focuses on challenges and opportunities relevant to diagnostic accuracy studies using MRI.
Guidance is provided for identifying, selecting, appraising, and analyzing relevant primary research.

Main Results:

Systematic reviews of diagnostic test accuracy require specialized approaches.
MRI imaging presents unique considerations for diagnostic accuracy reviews.
Best practices are outlined to enhance the quality and reliability of these reviews.

Conclusions:

Adherence to methodological best practices is crucial for reliable diagnostic accuracy reviews.
Addressing specific challenges in MRI systematic reviews can improve evidence synthesis.
This guidance aims to advance the quality of research in diagnostic test accuracy using MRI.