ArticleBMC public health2025
Evaluating the risk of comorbidity onset in elderly patients after a cancer diagnosis.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Therapeutic Potential of Stem Cell Therapy for Doxorubicin-Induced Cardiotoxicity: A Narrative Review.Health science reports · 2026Article
- Global trends in early-onset liver cancer incidence and projections to 2050 based on the global burden of disease study 2021.Discover oncology · 2026Article
- Neoplastic Disorders and Cardiovascular Comorbidities in Geriatric Patients: A Simple Association?Geriatrics (Basel, Switzerland) · 2026Review
- Influence of healthy lifestyle on the incidence and survival of cancer and its comorbidities: evidence from a longitudinal cohort study.Journal of translational medicine · 2025Article
- PD-1/PD-L1 inhibitors monotherapy vs. combination therapy in elderly advanced NSCLC: a real-world study and nomogram for survival prognosis.BMC pulmonary medicine · 2025Article
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6 authors.
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Abstract
backgroundCancer is a critical disease that affects a person physically, mentally, socially, and in many other aspects. During the treatment stage of cancer, patients suffer from various health complexities, especially elderly people, which might result in the onset of other diseases development of a comorbid condition. Several studies have shown comorbidity plays a crucial role in cancer survival. However, there remains a lack of comprehensive statistical techniques at the national level studies to assess the significance of comorbidities development in cancer. Our research aims to address this gap by comparing cancer and non-cancer individuals over four years' time period.
methodsThe Health Retirement Study (HRS) data was used to extract information from 6651 participants aged more than 50. Within a 4-year time span, cross-sectional observations were created whether comorbidities or not based on the development of diseases such as high blood pressure, diabetes, heart disease, stroke, lung disease, and psychological disease.
resultsIn the multivariable regression model, we observed higher chances of developing comorbidity (OR = 1.321, p-value 0.0051) among the cancer group compared to the non-cancer group, adjusting the socio-economic factors. Moreover, the socio-economic factors were found to be significantly associated with cancer leading to applying the propensity score matching with (1:3 matching). Finally, the balanced data also showed significantly higher chances of developing comorbidity (OR = 1.294, p-value 0.0207) among cancer patients.
conclusionsThe above findings demonstrated the imperative development of enhanced treatment protocols, which prioritize the overall health of cancer patients, thereby reducing their susceptibility to additional illnesses.
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