Work

Interpreting the clinical utility and generalizability of a multitask perioperative prediction model

Year: 2026

Type: article

Abstract: This Matters Arising comments on Yoon et al.'s multitask gradient boosting model for predicting acute kidney injury, postoperative respiratory failure and in-hospital mortality after non-cardiac surgery. We ask for clarification on the clinical decision context and threshold ranges in the decision curve analyses, the absolute impact of the model for rare outcomes, and calibration and potential recalibration in external cohorts to support implementation.

Source: npj Digital Medicine

DOI: 10.1038/s41746-026-02813-0

Authors: Xiao-Min Wo, Guo-Ming Zhang

Institution: Xuzhou Medical College

Language: English

Topic: Cardiac, Anesthesia and Surgical Outcomes

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,090