American Cancer Society; Centers for Disease Control and Prevention; Swiss Re; Swiss Cancer Research foundation; Swiss Cancer League; Institut National du Cancer; La Ligue Contre le Cancer; Rossy Family Foundation; US National Cancer Institute; and the Susan G Komen Foundation.

Introduction. This study investigated the influence of lockdown during the 2019 coronavirus disease (COVID-19) pandemic on the quality of life of patients with Parkinson’s disease (PD). Methods. We conducted a questionnaire survey involving 113 patients with PD from Xihu District, Hangzhou, Zhejiang. During the epidemic prevention and control period (February 1 to March 31, 2020), patients enrolled were asked to fill out questionnaires, including the “COVID-19 Questionnaire for PD Patients during the Period of Epidemic Prevention and Control” and “39-item Parkinson’s Disease Questionnaire (PDQ-39).” During the phase of gradual release of epidemic prevention and control (April 1 to April 30, 2020), all patients were followed up again, and PDQ-39 questionnaires were completed. Results. The quality of life for patients during the period of epidemic prevention and control was worse than that after epidemic prevention and control (P < 0.001). The biggest problem that they faced was that they could not receive their doctor’s advice or guidance regularly. The quality of life of patients who had difficulty getting doctors’ guidance or those who changed their routine medication due to lockdown was even worse. Telemedicine was quite effective and efficient for patients to get doctors’ guidance during lockdown. Conclusions. The inconvenient treatment during the pandemic directly caused the aggravation of patients’ symptoms and the decline in their quality of life. It is suggested that social media (such as WeChat or Tencent QQ) are used for regular interactions and follow-up appointments for patients with inconvenient medical treatment.

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Despite evidence suggesting the utility of Epstein‐Barr virus (EBV) markers to stratify individuals with respect to nasopharyngeal carcinoma (NPC) risk in NPC high‐risk regions, no validated NPC risk prediction model exists. We aimed to validate an EBV‐based NPC risk score in an endemic population undergoing screening for NPC. This prospective study was embedded within an ongoing NPC screening trial in southern China initiated in 2008, with 51 235 adult participants. We assessed the score's discriminatory ability (area under the receiver‐operator‐characteristics curve, AUC). A new model incorporating the EBV score, sex and family history was developed using logistic regression and internally validated using cross‐validation. AUCs were compared. We also calculated absolute NPC risk combining the risk score with population incidence and competing mortality data. A total of 151 NPC cases were detected in 2008 to 2016. The EBV‐based score was highly discriminating, with AUC = 0.95 (95% CI = 0.93‐0.97). For 90% specificity, the score had 87.4% sensitivity (95% CI = 81.0‐92.3%). As specificity increased from 90% to 99%, the positive predictive value increased from 2.4% (95% CI = 1.9‐3.0%) to 12.5% (9.9‐15.5%). Correspondingly, the number of positive tests per detected NPC case decreased from 272 (95% CI = 255‐290) to 50 (41‐59). Combining the score with other risk factors (sex, first‐degree family history of NPC) did not improve AUC. Men aged 55 to 59 years with the highest risk profile had the highest 5‐year absolute NPC risk of 6.5%. We externally validated the discriminatory accuracy of a previously developed EBV score in a high‐risk population. Adding nonviral risk factors did not improve NPC prediction.

BackgroundSouthern China is an endemic area for primary liver cancer (PLC), but it is unclear if rates have changed in recent decades. We evaluated PLC incidence and estimated the effects of age, period of diagnosis, and birth cohort in Sihui City, Guangdong Province, China.MethodsAge-standardized rates (ASRs) of PLC were examined for both males and females from 1987 to 2011. Joinpoint regression analysis was conducted to estimate the annual percent changes in PLC incidence. The age-period-cohort (APC) model was used to investigate the effects of age, diagnosis period, and birth cohort on the relative risk (RR) of PLC.ResultsA total of 2988 PLC cases were identified in this period, with average ASRs of 51.1/100,000 for males and 11.7/100,000 for females. Joinpoint regression analysis revealed increasing PLC incidence throughout the entire period in both males (average annual change of 1.65 %) and females (0.20 %). RRs increased gradually in both sexes from the youngest age group (30–34 years) to the oldest (80–84 years). In males, the RR decreased during diagnosis period from 1987–1991 to 1997–2001 and remained stable thereafter. In females, RRs fluctuated with diagnosis period throughout the entire period. Incidence tended to increase with birth cohort from 1905–1909 to 1975–1979 in both males and females; however, female incidence plateaued in the youngest cohorts born between 1955 and 1974, while incidence in males increased sharply in the cohorts born between 1965 and 1974. According to APC analysis, the full age-period-cohort (APC) model fit the data best, and the period-cohort (PC) model would be enough to explain variability of rates in females.ConclusionThe PLC incidence rate in males of Sihui City has increased more significantly than female over the last 25 years. Despite the age effect in male, this trend mainly reflects the effects of risk factors that are present in early life (birth cohort) and period change in both genders.

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