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Contribution of Open Access Databases to Intensive Care Medicine Research: Scoping Review.

Julien Kallout1, Antoine Lamer2,3, Julien Grosjean4,5

  • 1Department of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.

Journal of Medical Internet Research
|January 9, 2025
PubMed
Summary

Open access intensive care databases are increasingly used for research, particularly for cardiovascular and infectious diseases. While these databases offer valuable clinical insights, study quality and relevance vary, with many published in lower-impact journals.

Keywords:
Amsterdam University Medical Centers DatabaseAmsterdamUMCdbICUbig datadatabasedatabasesdescriptive analysiseICU Collaborative Research DatabaseeICU-CRDintensive care unitopen accessscreening

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Area of Science:

  • Critical care medicine
  • Health informatics
  • Biostatistics

Background:

  • Intensive care units (ICUs) generate vast amounts of data due to the critical condition of patients.
  • Collaborative efforts have led to the creation of large, open-access ICU databases.
  • These databases facilitate numerous research publications in critical care.

Purpose of the Study:

  • To characterize studies utilizing open-access ICU databases.
  • To assess the contribution of these studies to intensive care research.
  • To identify trends in research topics, methodologies, and publication outlets.

Main Methods:

  • Scoping review of original articles published up to August 1, 2022.
  • Searched PubMed-MEDLINE, Embase, and Web of Science.
  • Included studies based on four major open ICU databases (Amsterdam UMC, eICU, HiRID, MIMIC II-IV).
  • Double-blinded screening and extraction of publication, study design, and statistical analysis characteristics.

Main Results:

  • Publication numbers have steadily increased since 2016, with MIMIC databases being most frequent.
  • China and the US are leading contributors.
  • Cardiovascular and infectious diseases are predominant research topics.
  • Logistic regression is the most common statistical model.
  • Most inference studies reported significant results (84.0%); median AUC for prediction was 0.840.

Conclusions:

  • Open access ICU databases are crucial resources for clinical research, driving diverse investigations.
  • These databases show potential for impacting clinical practice in intensive care.
  • Significant heterogeneity exists in study quality and clinical relevance, with many publications in lower-impact journals.