Background: Patients with cancer experience financial toxicity from the costs of treatment, as well as material and psychologic stress related to this burden. A synthesized understanding of predictors and outcomes of the financial burdens associated with cancer care is needed to underpin strategic responses in oncology care. This study systematically reviewed risk factors and outcomes associated with financial burdens related to cancer treatment. Methods: MEDLINE, Embase, PubMed, PsychINFO, and the Cochrane Library were searched from study inception through June 2018, and reference lists were scanned from studies of patient-level predictors and outcomes of financial burdens in US patients with cancer (aged ≥18 years). Two reviewers conducted screening, abstraction, and quality assessment. Variables associated with financial burdens were synthesized. When possible, pooled estimates of associations were calculated using random-effects models. Results: A total of 74 observational studies of financial burdens in 598,751 patients with cancer were identified, among which 49% of patients reported material or psychologic financial burdens (95% CI, 41%–56%). Socioeconomic predictors of worse financial burdens with treatment were lack of health insurance, lower income, unemployment, and younger age at cancer diagnosis. Compared with patients with health insurance, those who were uninsured demonstrated twice the odds of financial burdens (pooled odds ratio [OR], 2.09; 95% CI, 1.33–3.30). Financial burdens were most severe early in cancer treatment, did not differ by disease site, and were associated with worse health-related quality of life (HRQoL) and nearly twice the odds of cancer medication nonadherence (pooled OR, 1.70; 95% CI, 1.13–2.56). Only a single study demonstrated an association with increased mortality. Studies assessing the comparative effectiveness of interventions to mitigate financial burdens in patients with cancer were lacking. Conclusions: Evidence showed that financial burdens are common, disproportionately impacting younger and socioeconomically disadvantaged patients with cancer, across disease sites, and are associated with worse treatment adherence and HRQoL. Available evidence helped identify vulnerable patients needing oncology provider engagement and response, but evidence is critically needed on the effectiveness of interventions designed to mitigate financial burden and impact.
BackgroundCachexia is a multisystem syndrome characterized by weight loss, anorexia, loss of muscle mass, systemic inflammation, insulin resistance, and functional decline. Management of cachexia involves addressing multiple underlying biological mechanisms. Previous review on pharmacological management of cancer cachexia identified progestins and corticosteroids as effective agents for treatment of cachexia. However, to date no consensus exists on a single effective or standard treatment for management of cachexia. The aim of this systematic review is to determine the effectiveness of pharmacological treatments used to manage cachexia among adult cancer patients.MethodsWe performed literature searches of PubMed (NLM), Embase (Ovid), and Medline(Ovid) to identify clinical trials focused on pharmacological management of cancer cachexia among adult cancer patients from 2004 to 2018. Three reviewers screened a random selection of abstracts to measure for interrater reliability. After this step, each screener screened two-thirds of all abstracts and 177 studies were identified for full text review. The primary outcome was impact of pharmacological management on change in either weight or lean body mass in cancer patients.ResultsWe identified 19 articles (representing 20 RCTs) that focused on pharmacological management of cancer cachexia. Agents showing promising results included Anamorelin and Enobosarm. Anamorelin at 50 or 100 mg per day for 12 weeks showed a consistent benefit across all studies and resulted in significant improvement in weight as compared to baseline among cancer patients. Enobosarm at 1 and 3 mg per day was also effective in improving lean body mass and QOL symptoms among advancer stage cancer patients. Finally, use of combination agents provide evidence for targeting multiple pathways underlying cachexia mechanism to achieve maximum benefit. No agents showed functional improvement in cancer patients.ConclusionAnamorelin as a single agent shows promising results in improving cachexia related weight loss among cancer patients. Further research on combination therapies may be helpful to address critical gaps in cachexia management.Electronic supplementary materialThe online version of this article (10.1186/s12885-018-5080-4) contains supplementary material, which is available to authorized users.
Background Cancer patients with COVID-19 disease have been reported to have double the case fatality rate of the general population. Methods A systematic search of PubMed, Embase, and Cochrane Central was done for studies on cancer patients with COVID-19. Pooled proportions were calculated for categorical variables. Odds ratio (OR) and forest plots (Random-effects model) were constructed for both primary and secondary outcomes. Results This systematic review of 38 studies and meta-analysis of 181,323 patients from 26 studies included 23,736 cancer patients. Our meta-analysis shows that cancer patients with COVID-19 have a higher likelihood of death (n = 165,980, OR = 2.54, 95% confidence interval [CI] = 1.47 to 4.42), which was largely driven by mortality among patients in China. Cancer patients were more likely to be intubated. Among cancer subtypes, the mortality was highest in hematological malignancies (n = 878, OR = 2.39, 95% CI = 1.17 to 4.87) followed by lung cancer (n = 646, OR = 1.83, 95% CI = 1.00 to 3.37). There was no association between receipt of a particular type of oncologic therapy and mortality. Our study showed that cancer patients affected by COVID-19 are a decade older than the normal population and have a higher proportion of co-morbidities. There was insufficient data to assess the association of COVID-directed therapy and survival outcomes in cancer patients. Conclusion Cancer patients with COVID-19 disease are at increased risk of mortality and morbidity. A more nuanced understanding of the interaction between cancer-directed therapies and COVID-19-directed therapies is needed. This will require uniform prospective recording of data, possibly in multi-institutional registry databases.
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