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Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons.

Anirudha S Chandrabhatla1, Adishesh K Narahari1, Kevin T Qiu1

  • 1Division of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.

The Journal of Surgical Research
|September 19, 2024
PubMed
Summary
This summary is machine-generated.

Academic cardiac surgeons are publishing less basic and translational research, with most studies being single-center. Continued support for clinical research and collaborative basic science is recommended.

Keywords:
Academic cardiac surgeryMachine learningNatural language processingResearch productivity

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Area of Science:

  • Cardiovascular Surgery
  • Medical Research Trends
  • Academic Medicine

Background:

  • Academic cardiac surgeons are key contributors to research and innovation.
  • A 40-year analysis was conducted to understand trends in cardiac surgery research.

Purpose of the Study:

  • To characterize cardiac surgery research over four decades using machine learning.
  • To identify shifts in research focus and collaboration patterns.

Main Methods:

  • Machine learning (ML) clustering analyzed publication titles and keywords from 944 academic cardiac surgeons (1980-2022).
  • Publications were classified as basic/translational or clinical based on NIH iCite data.
  • Collaboration patterns were assessed through publication data.

Main Results:

  • Citations per publication have declined since 1980.
  • Basic/translational research decreased significantly, comprising only 8% of publications in 2022.
  • Most publications (55%) were single-center, though this trend is decreasing.

Conclusions:

  • Cardiac surgeons are shifting focus from basic/translational to clinical research.
  • There's a need for increased support for clinical research and collaborative basic science.
  • Fostering collaboration is crucial for advancing patient care innovation.