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

Review and Preview01:13

Review and Preview

10.3K
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...
10.3K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

403
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
403

You might also read

Related Articles

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

Sort by
Same author

Alveolar macrophage activation and polarization signatures in stable lung transplant recipients and chronic lung allograft dysfunction.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation·2026
Same author

Voluntary Wheel Running as Refinement Tool for Postoperative Severity Assessment and Humane Endpoint Detection in Rats with Brain Tumors.

Brain sciences·2026
Same author

Mesenteric lymph nodes are required for B- but dispensable for local T cell effector responses following <i>Citrobacter rodentium</i> infection in mice.

Frontiers in immunology·2026
Same author

Corrigendum to "Biglycan evokes autophagy in macrophages via a novel CD44/Toll-like receptor 4 signaling axis in ischemia/reperfusion injury." Kidney International 2019;95:540-562.

Kidney international·2026
Same author

Differential mitochondrial priming by BCR::ABL1 in B-cell precursor acute lymphoblastic leukemia.

Leukemia·2026
Same author

Transition from independent midwifery care to Early Prevention Network Services in Germany - a cross-sectional survey.

BMC health services research·2026

Related Experiment Video

Updated: Nov 18, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

18.1K

Extracting data from graphs: A case-study on animal research with implications for meta-analyses.

Stevie Van der Mierden1, Loukia Maria Spineli2, Steven R Talbot1

  • 1Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.

Research Synthesis Methods
|February 8, 2021
PubMed
Summary

Data extraction from graphs in systematic reviews is reliable. Extracted data closely matches original values, minimizing impact on meta-analysis results, making it a valuable method when data isn't directly available.

Keywords:
concordance correlation coefficientdata extractionmeta-analysissystematic review

More Related Videos

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.0K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.5K

Related Experiment Videos

Last Updated: Nov 18, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

18.1K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.0K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.5K

Area of Science:

  • Biomedical research
  • Evidence synthesis

Background:

  • Systematic reviews and meta-analyses synthesize published study data.
  • Data is often presented in graphs, necessitating extraction.
  • Graph data extraction can introduce errors.

Purpose of the Study:

  • To assess the accuracy of data extracted from graphs.
  • To evaluate the impact of extracted data errors on meta-analysis outcomes.

Main Methods:

  • Six extractors extracted data from 36 graphs in 22 articles.
  • Concordance correlation coefficients (CCC) compared original and extracted data.
  • Random-effects meta-analyses compared outcomes using original vs. extracted data.

Main Results:

  • High concordance correlation coefficients (CCCs) were found for both outcome values (CCC >0.99) and errors (CCC >0.92).
  • Meta-analyses revealed minimal overall effect on outcomes from extracted data (median difference: 0.025).

Conclusions:

  • Data extraction from graphs is a reliable method for obtaining data when not available in text or tables.
  • Extracted graph data introduces minimal bias, supporting its use in meta-analyses.