ABSTRACT
Head and neck squamous cell carcinoma (HNSCC) is among the common tumors associated with high mortality. The aim of our meta-analysis was to determine how additional anti-epidermal growth factor receptor (EGFR) therapy to standard chemotherapy affects the progression-free (PFS) and overall survival (OS) of the patients, besides the most common side effects. We used CENTRAL, MEDLINE, and Embase databases until October 26, 2020, and included 13 eligible randomized controlled trials in our systematic research. The pooled hazard ratios (HR) for the main outcomes from the original data were estimated and for the other dichotomous outcomes, odds ratios (ORs) with their 95% confidence intervals (CI) were calculated. Addition of EGFR inhibitors to conventional chemotherapy significantly decreased the death and disease progression (for PFS HR: 0.68, 95% CI: 0.55-0.81, I2 = 65.5%, p = 0.005) and mortality (for OS HR: 0.83, 95% CI: 0.72-0.94, I2 = 42.3%, p = 0.076). In the EGFR inhibitor group, we revealed an increased chance of the over Grade 3 skin rashes (OR: 4.86; 95% CI: 1.52-15.49, I2 = 2.3%, p = 0.407), and all Grade skin rashes (OR: 18.32, 95% CI: 8.07-41.60, I2 = 56.6%, p = 0.032). Despite their unwanted dermatological side effects, the addition of EGFR inhibitors is recommended to be included in advanced HNSCC therapy.
Subject(s)
Antineoplastic Agents , Head and Neck Neoplasms , Lung Neoplasms , Humans , Squamous Cell Carcinoma of Head and Neck/drug therapy , Antineoplastic Agents/adverse effects , Protein Kinase Inhibitors/adverse effects , ErbB Receptors , Head and Neck Neoplasms/drug therapyABSTRACT
OnkoNetwork is a patient navigation program established in the Moritz Kaposi General Hospital to improve the timeliness and completeness of cancer investigations and treatment. The H2020 SELFIE consortium selected OnkoNetwork as a promising integrated care initiative in Hungary and conducted a multicriteria decision analysis based on health, patient experience, and cost outcomes. In this paper, a more detailed analysis of clinical impacts is provided in the largest subgroup, non-small cell lung cancer (NSCLC) patients. A retrospective cohort study was conducted, enrolling new cancer suspect patients with subsequently confirmed NSCLC in two annual periods, before and after OnkoNetwork implementation (control and intervention cohorts, respectively). To control for selection bias and confounding, baseline balance was improved via propensity score weighting. Overall survival was analyzed in univariate and multivariate weighted Cox regression models and the effect was further characterized in a counterfactual analysis. Our analysis included 123 intervention and 173 control NSCLC patients from early to advanced stage, with significant between-cohort baseline differences. The propensity score-based weighting resulted in good baseline balance. A large survival benefit was observed in the intervention cohort, and intervention was an independent predictor of longer survival in a multivariate analysis when all baseline characteristics were included (HR = 0.63, p = 0.039). When post-baseline variables were included in the model, belonging to the intervention cohort was not an independent predictor of survival, but the survival benefit was explained by slightly better stage distribution and ECOG status at treatment initiation, together with trends for broader use of PET-CT and higher resectability rate. In conclusion, patient navigation is a valuable tool to improve cancer outcomes by facilitating more timely and complete cancer diagnostics. Contradictory evidence in the literature may be explained by common sources of bias, including the wait-time paradox and adjustment to intermediate outcomes.
