Prevalence of Sarcopenia Determined by Computed Tomography in Pancreatic Cancer: A Systematic Review and Meta-Analysis of Observational Studies
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Láinez Ramos-Bossini, Antonio Jesús; Gámez Martínez, Antonio; Luengo Gómez, David; Valverde López, Francisco; Melguizo Alonso, Consolación; Prados Salazar, José CarlosEditorial
MDPI
Materia
pancreatic neoplasm sarcopenia computed tomography
Date
2024-09-30Referencia bibliográfica
Láiñez Ramos-Bossini, A.J. et. al. Cancers 2024, 16, 3356. [https://doi.org/10.3390/cancers16193356]
Abstract
Sarcopenia, a condition characterized by a loss of skeletal muscle mass, is
increasingly recognized as a significant factor influencing patient outcomes in pancreatic cancer (PC).
This systematic review and meta-analysis aimed to estimate the prevalence of sarcopenia in patients
with PC using computed tomography and to explore how different measurement methods and cut-off
values impact such prevalence. Materials and Methods: Following the Preferred Reporting Items
for Systematic Reviews and Meta-Analyses guidelines, a comprehensive search of PubMed, Web
of Science, and EMBASE databases was performed, identifying 48 observational studies involving
9063 patients. Results: The overall pooled prevalence of sarcopenia was 45% (95% CI, 40–50%), but
varied significantly by the method used: 47% when measured with the skeletal muscle index and 33%
when assessed with the total psoas area. In addition, in studies using SMI, sarcopenia prevalence
was 19%, 45%, and 57% for cutoff values <40 cm2/m2, 40–50 cm2/m2, and >50 cm2/m2, respectively.
Moreover, the prevalence was higher in patients receiving palliative care (50%) compared to those
treated with curative intent (41%). High heterogeneity was observed across all analyses, underscoring
the need for standardized criteria in sarcopenia assessment. Conclusions: Our findings highlight the
substantial variability in sarcopenia prevalence, which could influence patient outcomes, and stress
the importance of consensus in measurement techniques to improve clinical decision making and
research comparability.