Evidence map›Paper›PMID 41996038›Full record

ArticleHealth economics review2026

Economic evaluation of automated scalp cooling systems for breast cancer patients in Spain.

Hernández-Yumar Aránzazu, García-Pérez Lidia, González-Pacheco Himar, de Armas-Castellano Aythami, Antón Torres Antonio, Martín Jiménez Miguel, Rueda-Domínguez Antonio, Serrano-Aguilar Pedro, Trujillo-Martín María Del Mar

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Article in Health economics review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hernández-Yumar AránzazuEvaluation Unit of the Canary Islands Health Service (SESCS), Santa Cruz de Tenerife, Spain.
García-Pérez LidiaEvaluation Unit of the Canary Islands Health Service (SESCS), Santa Cruz de Tenerife, Spain. lidia.garciaperez@sescs.es.
González-Pacheco HimarEvaluation Unit of the Canary Islands Health Service (SESCS), Santa Cruz de Tenerife, Spain.
de Armas-Castellano AythamiEvaluation Unit of the Canary Islands Health Service (SESCS), Santa Cruz de Tenerife, Spain.
Antón Torres AntonioMedical Oncology, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain.
Martín Jiménez MiguelOncology Biomedical Research National Network (CIBERONC-ISCIII), Madrid, Spain.
Rueda-Domínguez AntonioNetwork for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Madrid, Spain.
Serrano-Aguilar PedroEvaluation Unit of the Canary Islands Health Service (SESCS), Santa Cruz de Tenerife, Spain.
Trujillo-Martín María Del MarEvaluation Unit of the Canary Islands Health Service (SESCS), Santa Cruz de Tenerife, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent alternatives exist to prevent chemotherapy-induced alopecia (CIA), such as scalp cooling (SC). We conducted an economic evaluation to assess SC systems for breast cancer patients in Spain.

methodsA decision tree was built to compare automated SC systems (DigniCap® and Paxman) with the usual clinical practice in Spain (not using the SC), over an 18-month time horizon and applying the National Health Service (NHS) and social perspectives. The target population were women diagnosed with breast cancer (stages I and II), undergoing chemotherapy treatment. We estimated the number of women preventing CIA, quality-adjusted life years (QALYs), incremental costs, and the incremental cost-effectiveness ratio (ICER). Deterministic and probabilistic sensitivity analyses were performed.

resultsThe DigniCap® system increased costs by €505.97 and €251.8 (NHS and social perspectives), while the Paxman system did by €176.95 (NHS perspective), compared to not using SC. Both systems could generate 0.03 QALYs more than the usual clinical practice. The ICERs were below the willingness to pay threshold (€25 000 per QALY). Paxman, from the social perspective, represented a cost reduction of €77.22, being less costly and more effective in terms of QALYs. Sensitivity analyses confirmed these results. SC systems prevented CIA in 47% of the target population.

conclusionsAutomated SC systems could generate a higher cost (except Paxman from the social perspective) and more QALYs compared to the usual clinical practice in Spain. They could be considered cost-effectiveness technologies or a dominant alternative, in the case of Paxman applying a social perspective.

Indexed as

Breast cancerChemotherapy-induced alopeciaEconomic evaluationScalp cooling

Identifiers

PMID41996038
PMCPMC13217777

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.