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Extracting numerical data from published reports of pharmacokinetics investigations: method description and
Irismar Reis de Oliveira1, Rogério Santos-Jesus, Alain Li Wan Po
1Department of Neuropsychiatry, Faculty of Medicine, Federal University of Bahia, CEP 40110-100, Vale do Canela, Salvador-Bahia, Brazil. irismar.oliveira@uol.com.br
Researchers developed a method to extract numerical data from graphs, enhancing data for meta-analyses. This technique improves data accessibility from graphical results.
Area of Science:
- Data extraction and analysis
- Scientific research methodology
Background:
- Graphical data in scientific reports is often inaccessible for quantitative analysis.
- Existing methods for extracting data from images are limited in precision.
Purpose of the Study:
- To present a novel method for extracting precise numerical data from graphical representations.
- To enable the inclusion of previously inaccessible graphical data in quantitative research, such as meta-analyses.
Main Methods:
- Identified scientific reports containing both graphical and tabular data.
- Electronically scanned graphs and utilized Adobe Photoshop 7.0's cross-hair tool to pinpoint data coordinates.
- Achieved high precision by reading each point at 1600% magnification.
Main Results:
- The developed method demonstrated high reliability and precision in data extraction.
- Observer agreement for coordinate readings was nearly perfect, with a correlation coefficient (R) greater than 0.99.
Conclusions:
- The proposed method offers a viable solution for extracting quantitative data from graphical results.
- This technique significantly expands the potential dataset for meta-analyses and other quantitative studies by including data from graphs.
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