ReviewCancers2026
Prognostic Factors and Survival in Pericardial Mesothelioma: A Systematic Review and Quantitative Analysis.
Review in Cancers, 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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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.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary pericardial mesothelioma (PPM) is a rare and aggressive tumor. We aimed to analyze diagnostic pathways and factors influencing survival.
methodsA systematic review was conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO (CRD420261277326). MEDLINE, Web of Science, and EMBASE were searched up to March 2025. Case reports and case series published from 2010 onwards de- scribing histologically confirmed PPM were included. Data were extracted independently by multiple reviewers. Risk of bias was assessed using Joanna Briggs Institute tools. Individual patient data were pooled. Survival was analyzed using Kaplan-Meier and log-rank tests, and factors associated with survival ≥12 months were evaluated using univariable logistic regression.
resultsA total of 120 patients were included (108 case reports, 4 case series). Diffuse pericardial involvement predominated (74.2%), while localized tumors occurred in 30.8%. Constrictive pericarditis was present in 31.7%. Median overall survival from diagnosis was 7.4 months (IQR 1.75-13.5). Use of CT and PET in the diagnostic process was associated with longer survival (CT: 9.1 vs. 1.5 months,
conclusionsPPM carries a poor prognosis. Chemotherapy and advanced imaging are associated with longer survival, whereas constrictive pericarditis and diffuse involvement indicate worse outcomes. Early recognition may reduce diagnostic delay. Findings should be interpreted with caution due to limitations of case-based data.
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