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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study

The PA-ED data refer to patients who were admitted to the ED of the University Hospital “Policlinico Paolo Giaccone” between September, 4, 2019, and November 30, 2019, as described in the study by Agnello [37]. The inclusion criteria were adult (aged ≥18 years) patients presenting to the ED, and whose initial evaluation included a CBC. Exclusion criteria were (1) aged 4 hours after collection), (6) failure to determine the MDW parameter, and (7) diagnosis of a hematological disorder.

Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

J Med Internet Res 2025;27:e55492

Methods Used in Co-Creation Within the Health CASCADE Co-Creation Database and Gray Literature: Systematic Methods Overview

Methods Used in Co-Creation Within the Health CASCADE Co-Creation Database and Gray Literature: Systematic Methods Overview

Agnello et al [1] further highlight this fragmentation, attributing it to inconsistencies in terminology and inadequate cross-referencing and knowledge sharing among co-creation researchers. Smith et al [15] found that researchers operationalize co-creation in various ways, while Grindell et al [16] emphasize the interchangeable and often ambiguous use of the co-creation, co-design, and coproduction terms.

Danielle Marie Agnello, George Balaskas, Artur Steiner, Sebastien Chastin

Interact J Med Res 2024;13:e59772