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Lasagna plots to visualize results in surgical studies
Hamid Jalalzadeh1, Sytse C van Beek1, Reza Indrakusuma1
1Department of Surgery, Academic Medical Center, Amsterdam, The Netherlands.
Lasagna plots offer a novel way to visualize surgical trial data, revealing new insights into patient outcomes not apparent in traditional tables. This graphical tool enhances data interpretation and hypothesis generation for future research.
Area of Science:
- Medical Visualization
- Surgical Research Methodology
- Data Analysis in Clinical Trials
Background:
- Lasagna plots are graphical tools for displaying multiple longitudinal outcomes.
- Their application in surgical study publications is novel.
- This study aimed to assess their utility in surgical randomized controlled trials (RCTs).
Purpose of the Study:
- To demonstrate the application of lasagna plots in surgical RCTs.
- To evaluate if lasagna plots reveal new observations from existing surgical trial data.
- To assess the potential of lasagna plots to improve data interpretation.
Main Methods:
- Lasagna plots were generated using R software.
- Applied to three surgical RCTs: AJAX (abdominal aortic aneurysm repair), LAFA (colon cancer surgery), and DROP (pancreatic cancer surgery).
- Compared findings from lasagna plots with original study publications.
Main Results:
- Lasagna plots revealed the timing of outcome occurrences, increases, and decreases (e.g., renal replacement therapy, death) in the AJAX trial, which were not in the original report.
- Similar novel observations on multiple longitudinal outcomes were identified in the LAFA and DROP trials.
- The graphical representation provided insights beyond the original study's tables.
Conclusions:
- Lasagna plots can uncover new observations from previously published data.
- These new insights can generate novel hypotheses and theories regarding patient outcomes.
- Lasagna plots may enhance the interpretation of surgical trial results when used alongside traditional methods.
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