Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Random and Systematic Errors01:20

Random and Systematic Errors

15.2K
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...
15.2K
Newton's Third Law: Examples01:08

Newton's Third Law: Examples

27.3K
Newton's third law states that every action has an equal and opposite reaction. Consider a swimmer pushing off the side of a pool. They push against the wall of the pool with their feet and accelerate in the direction opposite to that of their push. This occurs because the wall exerts an equal and opposite force on the swimmer. Here, the forces do not cancel out each other as they are acting on different systems. In this case, there are two systems: the swimmer and the wall. If we select...
27.3K
Free Body Diagrams: Examples01:07

Free Body Diagrams: Examples

14.8K
Solving problems that involve forces is easy using free-body diagrams. A free-body diagram is a sketch showing all the external forces that are acting on an object or system. The object or system is represented by a single isolated point (or free body). Only those forces acting on it that originate outside of the object or system—the external forces—are shown. The forces are represented by vectors extending outward from the free body. Imagine a person sitting on a chair. Here, the...
14.8K
Review and Preview01:10

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...
8.4K
Review and Preview01:13

Review and Preview

11.6K
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...
11.6K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

429
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
429

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Disease-modifying antirheumatic drugs (DMARDs) for rheumatoid arthritis after failure of biologic or targeted synthetic therapy: a systematic review and network meta-analysis.

The Cochrane database of systematic reviews·2026
Same author

Development of a single‑item patient‑reported measure of treatment side‑effect burden in clinical trials of rheumatic and musculoskeletal diseases using stakeholder input and large language model refinement.

Seminars in arthritis and rheumatism·2026
Same author

CDAI trajectories in patients with rheumatoid arthritis treated with abatacept in real-world.

Advances in rheumatology (London, England)·2026
Same author

Lessons from an early rheumatoid arthritis incident cohort.

Seminars in arthritis and rheumatism·2026
Same author

Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force.

Annals of the rheumatic diseases·2026
Same author

Racial minorities are under-represented in SLE clinical trials: A systematic review and meta-analysis.

Autoimmunity reviews·2026

Related Experiment Video

Updated: Feb 12, 2026

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.2K

Randomized Trials, Meta-Analyses, and Systematic Reviews: Using Examples from Rheumatology.

Janet E Pope1, Glen S Hazlewood2

  • 1Rheumatology, University of Western Ontario, St. Joseph's Health Care, D2, 268 Grosvenor Street, London, Ontario N6A 4V2, Canada.

Rheumatic Diseases Clinics of North America
|April 7, 2018
PubMed
Summary

This article outlines current standards for rheumatology clinical research, focusing on randomized trials and meta-analyses. It covers trial methods, outcome rationales, and ethical considerations for rheumatic diseases.

Keywords:
BlindingInclusion criteriaMeta-analysisNetwork meta-analysisQualityRandomized controlled trialRheumatic diseasesSystematic review

More Related Videos

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

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

Published on: February 17, 2023

1.7K
Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.6K

Related Experiment Videos

Last Updated: Feb 12, 2026

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.2K
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

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

Published on: February 17, 2023

1.7K
Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.6K

Area of Science:

  • Rheumatology
  • Clinical Research Methodology
  • Evidence Synthesis

Background:

  • Clinical research in rheumatology requires adherence to evolving contemporary standards.
  • Robust methodologies are crucial for evaluating treatments in rheumatic diseases.
  • Systematic reviews and meta-analyses are essential for synthesizing evidence.

Purpose of the Study:

  • To introduce current ideas and standards for clinical research in rheumatology.
  • To provide examples of randomized trials and insights from meta-analyses in rheumatic diseases.
  • To discuss ethical considerations, sample size calculations, and trial types.

Main Methods:

  • Review of contemporary standards and best practices in rheumatology clinical research.
  • Inclusion of examples of randomized trials in various rheumatic diseases.
  • Synthesis of findings from systematic literature reviews and meta-analyses, including network meta-analyses.

Main Results:

  • Examples illustrate effective methods and outcome rationales for randomized trials in rheumatology.
  • Meta-analyses and systematic reviews offer insights into treatment efficacy and comparisons.
  • Discussion covers essential aspects like ethical conduct and statistical considerations.

Conclusions:

  • Adherence to contemporary standards enhances the quality and reliability of rheumatology clinical research.
  • Understanding trial methodologies and evidence synthesis is key for advancing rheumatic disease treatment.
  • Ethical considerations and appropriate sample size calculations are fundamental for valid research outcomes.