More Aggressive Cancer Behaviour in Thyroid Cancer Patients in the Post-COVID-19 Pandemic Era: A Retrospective Study.

PURPOSE: Many thyroid cancer patients have suffered from treatment delays caused by the coronavirus disease 2019 pandemic. Although there have been many reviews, recommendations, or clinical experiences, clinical evidence that evaluates patient disease status is lacking. The aim of our research was to evaluate thyroid cancer behaviour in the post-COVID-19 era. PATIENTS AND METHODS: A retrospective study was conducted and thyroid cancer patient data from February 1, 2017 to September 15, 2020 were pooled for analysis. The demographic, ultrasound and pathological data of the pre- and post-COVID-19 groups were compared. Lymph node metastases, tumour size, extrathyroidal extension, and multifocality were compared year-by-year to evaluate annual changes in patient characteristics. Regression analyses were adopted to reveal cancer behaviour along with the admission date interval and to reveal risk factors for lymph node metastasis. Patient ultrasound data were compared before and after the lockdown to assess tumour progression. The outcomes of delays in treatment ≤180 days were then studied. RESULTS: The post-lockdown patients were more likely to have multiple lesions (31.2% vs 36.5%, p = 0.040), extrathyroidal extension (65.5% vs 72.2%, p = 0.011) and lymph node metastases (37.7% vs 45.0%, p = 0.007), while tumour size remained stable (1.01cm vs.1.02cm, p = 0.758). The lymph node metastasis rate increased by year (p < 0.001). The tumour size correlated negatively with the post-lockdown admission date (p = 0.002). No significant difference in tumour size, multifocality or lymph node metastasis on ultrasound was revealed between the pre- and post-lockdown group. No significant difference in tumour size, multifocality, extrathyroidal extension or lymph node metastasis was revealed among patients with a delayed treatment time ≤180 days. CONCLUSION: Patients with a COVID-19-induced treatment delay had more aggressive cancer behaviour. Rebound medical visits and annually increasing aggressiveness may be potential reasons for this observation, as individual patient tumour did not progress during the delay.

The Psychological Pressures of Breast Cancer Patients During the COVID-19 Outbreak in China-A Comparison With Frontline Female Nurses.

Objective: During the outbreak of the COVID-19 epidemic in China, breast cancer (BC) patients and healthcare workers faced several challenges, resulting in great psychological stress. We measured the psychological status of BC patients and female nurses and compared the severity within the two groups at the peak time-point of the COVID-19 outbreak. Methods: A total of 207 BC patients and 684 female nurses were recruited from Wuhan. They completed an anonymous questionnaire online using the most popular social media software in China, WeChat. The psychological status of BC patients and of female nurses was measured using the Chinese versions of the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder scale (GAD-7), the 7-item Insomnia Severity Index (ISI), and the 22-item Impact of Event Scale-Revised (IES-R) for evaluation of post-traumatic stress disorder (PTSD). The differences between the two groups were analyzed. Results: The scores of BC patients and frontline female nurses for the four scales were significantly higher than those of non-frontline female nurses (P < 0.001). There were similar scores between BC patients and frontline female nurses for PHQ-9, GAD-7, and IES-R (P = 0.789, P = 0.101, P = 0.158, respectively). Notably, the scores of BC patients for ISI were significantly higher than those of the frontline female nurses (P = 0.016). A considerable proportion of BC patients reported symptoms of depression (106/207, 51.2%), anxiety (130/207, 62.8%), insomnia (106/207, 51.2%), and PTSD (73/207, 35.5%), which was more severe than that of female nurses. Conclusions: BC patients experienced great psychological pressure during the COVID-19 outbreak. The incidents of symptomatic anxiety, depression, sleep disorders, and PTSD were significantly comparable to that of frontline female nurses, and episodes of insomnia among BC participants were more serious than for frontline female nurses.

The effect of anticancer treatment on cancer patients with COVID-19: A systematic review and meta-analysis.

BACKGROUND: The relationship between cancer and COVID-19 has been revealed during the pandemic. Some anticancer treatments have been reported to have negative influences on COVID-19-infected patients while other studies did not support this hypothesis. METHODS: A literature search was conducted in WOS, PubMed, Embase, Cochrane Library, CNKI and VIP between Dec 1, 2019 and Sept 23, 2020 for studies on anticancer treatments in patients with COVID-19. Cohort studies involving over 20 patients with cancer were included. The characteristics of the patients and studies, treatment types, mortality, and other additional outcomes were extracted and pooled for synthesis. RRs and forest plots were adopted to present the results. The literature quality and publication bias were assessed using NOS and Egger's test, respectively. RESULTS: We analyzed the data from 29 studies, with 5121 cancer patients with COVID-19 meeting the inclusion criteria. There were no significant differences in mortality between patients receiving anticancer treatment and those not (RR 1.17, 95%CI: 0.96-1.43, I2 =66%, p = 0.12). Importantly, in patients with hematological malignancies, chemotherapy could markedly increase the mortality (RR 2.68, 95% CI: 1.90-3.78, I2 =0%, p < 0.00001). In patients with solid tumors, no significant differences in mortality were observed (RR 1.16, 95% CI: 0.57-2.36, I2 =72%, p = 0.67). In addition, our analysis revealed that anticancer therapies had no effects on the ICU admission rate (RR 0.87, 95% CI: 0.70-1.09, I2 =25%, p = 0.23), the severe rate (RR 1.04, 95% CI: 0.95-1.13, I2 =31%, p = 0.42), or respiratory support rate (RR 0.92, 95% CI: 0.70-1.21, I2 =32%, p = 0.55) in COVID-19-infected patients with cancer. Notably, patients receiving surgery had a higher rate of respiratory support than those without any antitumor treatment (RR 1.87, 95%CI: 1.02-3.46, I2 =0%, p = 0.04). CONCLUSIONS: No significant difference was seen in any anticancer treatments in the solid tumor subgroup. Chemotherapy, however, will lead to higher mortality in patients with hematological malignancies. Multicenter, prospective studies are needed to re-evaluate the results.

Suboptimal declines and delays in early breast cancer treatment after COVID-19 quarantine restrictions in China: A national survey of 8397 patients in the first quarter of 2020.

BACKGROUND: Cancer patients had been profoundly affected by the outbreak of COVID-19 especially after quarantine restrictions in China. We aimed to explore the treatment changes and delays of early breast cancer (EBC) during the first quarter of 2020. METHODS: We did this retrospective, multicentre, cohort study at 97 cancer centres in China. EBC patients who received treatment regardless of preoperative therapy, surgery or postoperative therapy during first quarter of 2020 were included. FINDINGS: 8397 patients were eligible with a median age of 50 (IQR 43-56). 0·2% (15/8397) of EBC patients were confirmed as COVID-19 infection. Only 5·2% of breast cancer diagnosis occurred after quarantine in Hubei compared with 15·3% in other provinces (OR= 0·30, 95%CI 0·24-0·38). postoperative endocrine therapy were least affected compared with different regions after quarantine (OR=0·37 [95%CI 0·19-0·73]). The proportion of surgery decreased from 16·4% in December last year to 2·6% in February in Hubei. Compared with intervals from diagnosis to treatment before quarantine restrictions, the average time increased with significance from 3·5 to 7·7 days in Hubei and 5·7 to 7·7 days in other provinces (p< 0·001). There were also 18·5 and 7·2 days delay in Hubei and other provinces respectively when calculating interval from surgery to postoperative therapy. INTERPRETATION: EBC from high risk regions had a comparative rate of COVID-19 infection. After implementation of COVID-19 quarantine restrictions, fewer diagnosis and surgery with significant delays were seen when compared with treatment before. FUNDING: Beijing Medical Award Foundation (YJ0120).

Quality Analysis of Chinese Popular Scientific Articles Pertaining to Novel Coronavirus Pneumonia (preprint)

Background: To evaluate the quality, reliability, comprehensiveness and accuracy of the popular science information related to the Corona Virus Disease 2019 (COVID-19) on the Chinese website.Methods: Searching for scientific articles with the keywords of "novel coronavirus pneumonia" in Baidu, Sogou and 360 search engine at 14:00 on May 22, 2020, and collecting information such as article source, length, upload time, etc. Using JAMA score and 5-point DISCERN scale, two specialists independently analyzed the reliability and quality of scientific articles. Combined with the "Novel Coronavirus Pneumonia Diagnosis and Treatment Program (Trial Version 6)", we made corresponding evaluation on the comprehensiveness and accuracy of articles. Results: A total of 45 scientific articles were included in the study. The average number of words is 2692.27±1267.61, and the average upload time is 11.8±10.80 days. Those popular scientific articles are mainly uploaded by government agencies and individuals. However, the JAMA score, DISCERN score, content comprehensiveness and accuracy of the articles were generally low. Among the 45 popular scientific articles, 27 articles were classified as accurate-content group and 18 articles were classified as misleading-content group. Scientific articles of accurate-content groups mainly came from government agencies, universities and hospitals. The publication date of articles in the accurate-content group is closer, the scores of JAMA, DISCERN and content comprehensiveness were higher (P<0.05). The results also showed that JAMA score, DISCERN score, content comprehensiveness and accuracy of popular science articles uploaded by government agencies, universities and hospitals were higher (P<0.05). The results indicated that there was a significant positive correlation between the scores of JAMA, DISCERN, comprehensiveness and accuracy (P<0.05). Conclusion: Although there are many scientific articles related to the novel coronavirus pneumonia on the Chinese website, the overall detection rate of high-quality scientific articles were low. We are Looking forward to more high-quality medical scientific articles published by government agencies, universities and hospitals. It is suggested that search engines adopt a more optimized sorting method to help more readers get high-quality information.