Background and Objectives: The research on the therapeutic effect of preoperative radiotherapy (PRRT) for patients with early non-small cell lung cancer (NSCLC) is still insufficient, and the impact of postoperative radiotherapy (PORT) on the prognosis of patients with early NSCLC remains controversial. We conducted this study to investigate the effect of PORT and PRRT on prognosis for these patients. Materials and Methods: In total, 3640 patients with stage II NSCLC who underwent a lobectomy or pneumonectomy were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate regression was adopted to identify the independent influence of PORT or PRRT on patients’ prognosis. Subgroup analysis of survival was performed in patients with different combinations of key clinical features. We also used Kaplan-Meier analysis and competitive risk analysis to explore to which extent PORT or PRRT impacted the overall survival and cumulative mortality. Results: PORT was an independent risk factor of NSCLC-specific death among patients with N0 stage (HR, 1.648; 95% CI, 1.309–2.075, p < 0.001) and in N1 stage with <3 positive lymph nodes (HR, 2.698; 95% CI, 1.910–3.812, p < 0.001) in multivariate analysis. Findings from subgroup analysis for the risk of NSCLC-specific death, competitive risk analysis of NSCLC-specific cumulative mortality, and overall survival analysis also demonstrated PORT was detrimental to patients in these two subgroups above (p < 0.05). However, in patients with N1 stage with ≥3 positive lymph nodes, PORT may help prolong median survival. PRRT was an independent risk factor for NSCLC-specific death in multivariate analysis of patients with N0 stage (HR, 1.790; 95% CI, 1.201–2.668, p = 0.004), and significantly decreased overall survival in these patients (p < 0.001). Conclusion: PORT is associated with worse survival outcome and better cumulative mortality of stage II patients of NSCLC with N0 disease or N1 disease (<3 nodes), while PRRT is associated with reduced prognosis in patients with N0 stage. On the other hand, PORT may help to improve the prognosis of patients with N1 stage who have three or more lymph node metastases. Hence, PORT and PRRT should not be recommended for patients with N0 stage. However, in patients with “high volume” N1 stage, PORT might improve oncological outcomes.

Objective: To explore the trend and associated factors of neuropsychological development of infants and toddlers in China. Methods: A longitudinal study was conducted among 619 infants and toddlers (2914 person-times) aged 0 to 36 months from different provinces or cities in China from January 2013 to December 2019. Results: The development age of each area increased with the extension of follow-up time, but this upward trend slowed down with physiological age at first measurement increasing. Among a low age group and each area, most of the development qualification rates in different follow-up periods were higher than that in the baseline (p < 0.05); however, many of them were not higher than that in the baseline among the medium or high age group (p > 0.05). For the areas of gross motor and self-care, the growth of qualification rate with the extension of follow-up was not obvious in the medium and high age group (both p trend > 0.05). Some impact factors of development in all areas were identified. Conclusions: The neuropsychological development delay of various areas of infants and toddlers, especially that of gross motor and self-care, should be paid early (within 1 years old) and constant attention. The impact of gender and maternal age on the development of young children has been further confirmed in the present study.

Objectives: To evaluate the reliability, validity, and responsiveness of the Chinese Learning Accomplishment Profile in China. Methods: 12,098 participants aged from 0 to 36 months from 30 provinces (mostly from Shanghai) in China were enrolled between 2013 and 2020. The reliability was reflected by Pearson correlation coefficients, Cronbach’s alpha coefficients and standard errors; the validity was shown by the coefficients between the dimensions, and we also evaluated the responsiveness as a supplement to the validity. Results: Reliability: in six domains among each subgroup, Pearson correlation coefficients between developmental age and chronological age ranged from 0.89 to 0.98, Cronbach’s alpha coefficients from 0.71 to 0.99, and standard errors from 0.15 to 2.76. Validity: after controlling for chronological age, the correlation coefficients between the dimensions were between 0.18 and 0.78, and most of them were below 0.70. Responsiveness: developmental age of all domains obtained via the Chinese Learning Accomplishment Profile system changed significantly (p < 0.001) with time (gap of 1–3 months), and the standardized response mean ranged from 0.66 to 2.45. Conclusions: The Chinese Learning Accomplishment Profile is suitable for assessing children’s development in Shanghai, but still needs confirmation when used in other provinces in China due to the great differences between regions in China.

Background: The outbreak of coronavirus disease 2019 (COVID-19) has become a global pandemic acute infectious disease, especially with the features of possible asymptomatic carriers and high contagiousness. It causes acute respiratory distress syndrome and results in a high mortality rate if pneumonia is involved. Currently, it is difficult to quickly identify asymptomatic cases or COVID-19 patients with pneumonia due to limited access to reverse transcription-polymerase chain reaction (RT-PCR) nucleic acid tests and CT scans, which facilitates the spread of the disease at the community level, and contributes to the overwhelming of medical resources in intensive care units. Goal: This study aimed to develop a scientific and rigorous clinical diagnostic tool for the rapid prediction of COVID-19 cases based on a COVID-19 clinical case database in China, and to assist global frontline doctors to efficiently and precisely diagnose asymptomatic COVID-19 patients and cases who had a false-negative RT-PCR test result. Methods: With online consent, and the approval of the ethics committee of Zhongshan Hospital Fudan Unversity (approval number B2020-032R) to ensure that patient privacy is protected, clinical information has been uploaded in real-time through the New Coronavirus Intelligent Auto-diagnostic Assistant Application of cloud plus terminal (nCapp) by doctors from different cities (Wuhan, Shanghai, Harbin, Dalian, Wuxi, Qingdao, Rizhao, and Bengbu) during the COVID-19 outbreak in China. By quality control and data anonymization on the platform, a total of 3,249 cases from COVID-19 high-risk groups were collected. These patients had SARS-CoV-2 RT-PCR test results and chest CT scans, both of which were used as the gold standard for the diagnosis of COVID-19 and COVID-19 pneumonia. In particular, the dataset included 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, and 122 asymptomatic cases who had positive RT-PCR test results, amongst whom 31 cases were diagnosed. We also integrated the function of a survey in nCapp to collect user feedback from frontline doctors. Findings: We applied the statistical method of a multi-factor regression model to the training dataset (1,624 cases) and developed a prediction model for COVID-19 with 9 clinical indicators that are fast and accessible: ‘Residing or visiting history in epidemic regions’, ‘Exposure history to COVID-19 patient’, ‘Dry cough’, ‘Fatigue’, ‘Breathlessness’, ‘No body temperature decrease after antibiotic treatment’, ‘Fingertip blood oxygen saturation ≤93%’, ‘Lymphopenia’, and ‘C-reactive protein (CRP) increased’. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.88 (95% CI: 0.86, 0.89) in the training dataset and 0.84 (95% CI: 0.82, 0.86) in the validation dataset (1,625 cases). To ensure the sensitivity of the model, we used a cutoff value of 0.09. The sensitivity and specificity of the model were 98.0% (95% CI: 96.9%, 99.1%) and 17.3% (95% CI: 15.0%, 19.6%), respectively, in the training dataset, and 96.5% (95% CI: 95.1%, 98.0%) and 18.8% (95% CI: 16.4%, 21.2%), respectively, in the validation dataset. In the subset of the 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, the model predicted 132 cases, accounting for 96.4% (95% CI: 91.7%, 98.8%) of the cases. In the subset of the 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, the model predicted 59 cases, accounting for 95.2% (95% CI: 86.5%, 99.0%) of the cases. Considering the specificity of the model, we used a cutoff value of 0.32. The sensitivity and specificity of the model were 83.5% (95% CI: 80.5%, 86.4%) and 83.2% (95% CI: 80.9%, 85.5%), respectively, in the training dataset, and 79.6% (95% CI: 76.4%, 82.8%) and 81.3% (95% CI: 78.9%, 83.7%), respectively, in the validation dataset, which is very close to the published AI model. The results of the online survey ‘Questionnaire Star’ showed that 90.9% of nCapp users in WeChat mini programs were ‘satisfied’ or ‘very satisfied’ with the tool. The WeChat mini program received a significantly higher satisfaction rate than other platforms, especially for ‘availability and sharing convenience of the App’ and ‘fast speed of log-in and data entry’. Discussion: With the assistance of nCapp, a mobile-based diagnostic tool developed from a large database that we collected from COVID-19 high-risk groups in China, frontline doctors can rapidly identify asymptomatic patients and avoid misdiagnoses of cases with false-negative RT-PCR results. These patients require timely isolation or close medical supervision. By applying the model, medical resources can be allocated more reasonably, and missed diagnoses can be reduced. In addition, further education and interaction among medical professionals can improve the diagnostic efficiency for COVID-19, thus avoiding the transmission of the disease from asymptomatic patients at the community level.

Background: To save assessment time and improve the efficiency, it is necessary to find sensitive indicators from the test items of gross motor development in the C-LAP system for children aged 24~36 months and analyze the influencing factors of the passing rate of these indicators. Methods: This retrospective study was conducted among 1354 toddlers (3058 person-times) aged 24 to 36 months in Beijing, Shanghai, Guangdong between January 2013 and December 2019. A linear regression model and Cox regression model were performed to screen sensitive indicators and explore their influencing factors, respectively. Results: “Walk backwards”, “Stand from supine position” and “Hop with one foot at least twice” are the three sensitive indicators for evaluating the development of gross motor function in 24~36 month old children. The child’s physiological age at first measurement and region are the two common independent factors influencing the passing rate of the three items, while paternal age and education may influence one or two of them. Conclusions: “Walk backwards”, “Stand from supine position” and “Hop with one foot at least twice” are sensitive indicators for the effective evaluation of the development of gross motor function in 24~36 month old children, and their passing rates are influenced by some demographic variables.