No abstract

Objective: To gather current evidence on the impact of antipsychotics on long-term mortality in patients with schizophrenia. Methods: We systematically searched for articles in Embase, PubMed, and PsycINFO reporting the long-term mortality (follow-up > 1 year) of patients with schizophrenia who were using any antipsychotics. We then conducted multiple meta-analyses to determine differences in long-term mortality between different types of antipsychotics. Results: We identified 45 articles that provided unadjusted long-term mortality rates, including 46,171 deaths during 2,394,911 person-years. The pooled mortality rate was 9.9 (95%CI = 7.4-12.7) per 1,000 person-years. The unadjusted crude mortality rate of antipsychotic drug users was lower than that of non-users (risk ratio [RR] = 0.546, 95%CI = 0.480-0.621), first-generation antipsychotics caused higher all-cause mortality than second-generation antipsychotics (RR = 1.485, 95%CI = 1.361-1.620), and polypharmacy had better effects than monotherapy on long-term mortality (RR = 0.796, 95%CI = 0.689-0.921). As for the causes of death, heart disease and cardiovascular disease ranked highest among cause-specific mortality (5.6 per 1,000 person-years). Conclusion: Since antipsychotics had a beneficial effect on long-term mortality in schizophrenia, greater precaution should be taken with patients who do not take them. However, since disease severity, comorbidities, and other confounding factors cannot be fully controlled, further research and verification are needed.

Objectives: Large cell lung carcinoma (LCLC) is generally poorly differentiated with a poor prognosis. This study aimed to explore the impact of chemotherapy on the prognosis of patients with stage Ⅱ-Ⅳ LCLC and to construct nomograms to predict overall survival (OS) and cancer-specific survival (CSS). Methods: Propensity score matching (PSM) analysis was used to balance the effects of baseline characteristics. The Kaplan-Meier method was used to analyze the prognostic impact of chemotherapy on LCLC patients. Cox regression analysis was used to identify prognostic risk factors, and then nomograms were constructed and validated. Results: Overall, we identified 2532 patients with LCLC from the Surveillance, Epidemiology, and End Results (SEER) database. The chemotherapy group showed better OS and CSS compared to the non-/unknown chemotherapy group for stage II-IV LCLC patients (p < 0.05). Two nomograms were plotted based on the results of Cox regression analysis. The areas under the curves (AUCs) of 1-, 3-, and 5- years OS were 0.786, 0.824, and 0.837, and the AUCs of CSS were 0.785, 0.821, and 0.836. The calibration curves showed excellent agreement between the prediction and the actual observation, and the decision curve analysis (DCA) demonstrated good clinical utility. Conclusions: Chemotherapy could improve the prognosis among stage II-IV LCLC patients. In addition, the nomograms showed good predictive ability, which could be useful in making clinical decisions.