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Related Concept Videos

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
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Updated: Jul 19, 2025

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
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External validation of the REMEMBER score.

Armin Darius Peivandi1, Henryk Welp1, Sebastian Kintrup2

  • 1Department of Cardiothoracic Surgery, University Hospital Muenster, Muenster, Germany.

Frontiers in Cardiovascular Medicine
|August 14, 2023
PubMed
Summary
This summary is machine-generated.

The REMEMBER score, designed to predict mortality after coronary artery bypass grafting (CABG) with venoarterial extracorporeal membrane oxygenation (VA-ECMO), showed poor performance in external validation. This score is not applicable for predicting in-hospital mortality in this patient group.

Keywords:
cardiac failurecoronary artery bypass graftingextracorporeal life supportrisk scorescore system

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Area of Science:

  • Cardiology
  • Cardiovascular Surgery
  • Critical Care Medicine

Background:

  • Venoarterial extracorporeal membrane oxygenation (VA-ECMO) use after coronary artery bypass grafting (CABG) is linked to high in-hospital mortality.
  • The REMEMBER score was developed to predict in-hospital mortality in CABG patients requiring VA-ECMO.

Purpose of the Study:

  • To externally validate the predictive performance of the REMEMBER score in a distinct cohort of CABG patients who underwent VA-ECMO.
  • To assess the REMEMBER score's accuracy in predicting in-hospital mortality.

Main Methods:

  • Retrospective analysis of 107 CABG patients who received VA-ECMO between 2012 and 2021.
  • Evaluation of the REMEMBER score's discriminative ability using concordance statistics and ROC curve analysis.
  • Assessment of calibration using calibration-in-the-large and calibration slope.

Main Results:

  • The study included 107 patients, with an in-hospital mortality rate of 45.8%.
  • The REMEMBER score demonstrated low discriminative ability (AUC: 0.623) and poor calibration (intercept p=0.0195, slope p=0.0303).
  • The median predicted mortality rate by the REMEMBER score was 52%, differing from the observed rate.

Conclusions:

  • The REMEMBER score was found to be inaccurate and not applicable for predicting in-hospital mortality in this cohort of CABG patients treated with VA-ECMO.
  • Further external validation studies, preferably in a multicenter setting, are recommended to confirm these findings.