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Estimating data from figures with a Web-based program: Considerations for a systematic review.

Brittany U Burda1, Elizabeth A O'Connor1, Elizabeth M Webber1

  • 1Kaiser Permanente Research Affiliates Evidence-based Practice Center, Kaiser Permanente Center for Health Research, Portland, OR, USA.

Research Synthesis Methods
|March 8, 2017
PubMed
Summary
This summary is machine-generated.

Systematic reviewers can accurately estimate missing data from study figures using tools like webplotdigitizer. Transparency and sensitivity analyses are crucial when using estimated data to minimize bias in reviews.

Keywords:
data extractionmeta-analysisreporting biassystematic review

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Area of Science:

  • Medical research methodology
  • Data analysis in systematic reviews

Background:

  • Systematic reviews frequently face challenges with incomplete or missing data.
  • Obtaining complete data directly from study authors can be difficult.

Purpose of the Study:

  • To evaluate the use of a web-based tool for estimating data from figures in systematic reviews.
  • To assess the accuracy and consistency of data estimated from figures.

Main Methods:

  • A case study utilized the publically available webplotdigitizer program to extract data from two figures.
  • Intraclass coefficient and accuracy of estimates were evaluated against true data.

Main Results:

  • Estimates from figures were consistent, with slight variations for continuous outcomes.
  • Percent differences for continuous outcomes ranged from 0.23% to 30.35%, and for event rates from 0.22% to 8.92%.
  • Excellent intraclass coefficients (>0.95) were achieved for both figures.

Conclusions:

  • Estimating data from figures is a viable option when direct data is unavailable.
  • Systematic reviewers must be transparent about using estimated data and conduct sensitivity analyses to mitigate bias.