ArticleJNCI cancer spectrum2026
Gender-stratified analysis of sepsis mortality in cancer: a 45-year population-based cohort study.
Article in JNCI cancer spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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Who cites it
1 citing paper in PubMed.
- Pioglitazone Attenuates Sepsis-Associated Acute Kidney Injury by Modulating TLR-4/NF-κB Signaling and Improving Survival and Renal Function.Journal of clinical medicine · 2026Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundSepsis is a major cause of death in cancer patients, yet its variation by cancer type and patient characteristics remains underexplored. We analyzed sepsis mortality in a large cancer cohort, focusing on gender and demographic disparities.
methodsWe analyzed 3 577 100 cancer cases from the SEER database (1975-2019) and calculated the standardized mortality ratio (SMR) and absolute excess risk (AER), stratified by gender, cancer type, and demographics. Logistic regression identified factors linked to sepsis mortality odds, while Cox proportional hazards models evaluated their time-dependent effects.
resultsCancer patients experienced an excess sepsis mortality rate of 1.68 deaths per 10 000 person-years compared to the general population. Among 11 926 cancer patients who died from sepsis (0.39% of 3.07 million cases), males had consistently higher mortality than females. Risk was highest in older adults, Black, unmarried, or widowed males with high-grade cancer. Liver and pancreatic cancers showed the highest SMR and AER, followed by stomach, lung, and hematologic cancers, whereas breast and prostate cancers had lower mortality. Patients diagnosed within the first year of cancer diagnosis faced the greatest risk. Logistic regression identified protective factors including female sex, younger age, localized cancer, marriage, and radiation therapy, while Cox models highlighted the time-dependent protective effects of these factors.
conclusionsSepsis mortality varied significantly by gender, cancer type, and demographic characteristics. These findings emphasize the need for gender-specific and personalized management strategies to reduce sepsis mortality in high-risk cancer patients.
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