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Updated: Sep 16, 2026

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level
Published on: January 19, 2024
AnemiaScore: An Investigator-Developed Rule-Based Clinical Decision-Support Framework for Cancer-Related Anemia-A
Antonio Macciò1,2, Gianuario Sanna1,2, Manuela Neri1,2
1Department of Obstetrics and Gynecology and Gynecological Oncology, Azienda di Rilievo Nazionale ed Alta Specializzazione "G. Brotzu", Piazza A. Ricchi 1, 09121 Cagliari, Italy.
Abstract:
Background/Objectives: AnemiaScore is an investigator-developed, deterministic, rule-based clinical decision-support framework for cancer-related anemia. This initial proof-of-concept study evaluated agreement with recorded local oncologist decisions, used as a clinical reference comparator rather than an independent standard. Methods: This single-center retrospective study analyzed 180 directly comparable A-C cases in the primary three-category analysis. An exploratory full-cohort analysis included 188 eligible cases and descriptively incorporated Category D decisions arising either from the five-input laboratory core or from clinical factors outside that core. Results: In the primary cohort, overall percent agreement was 77.8% (140/180; 95% CI, 71.2-83.2%), Cohen's κ was 0.637 (95% bootstrap CI, 0.537-0.731), and Gwet's AC1 was 0.680 (95% bootstrap CI, 0.588-0.767). Among eight recorded clinician-override decisions, four met the laboratory-based R0 criterion, two were classified as Category D only through the external clinical-override classification, and two were not captured. The exploratory four-category agreement was 77.7% (146/188; 95% CI, 71.2-83.0%). Conclusions: AnemiaScore reproduced a substantial proportion of local decision patterns, but concordance does not establish therapeutic appropriateness, clinical efficacy, safety, or superiority. Prospective multicenter validation with independent review and clinical and patient-reported outcomes is required before routine use.