Image_1_Postoperative radiotherapy might be a risk factor for second primary lung cancer: A population-based study.tif

BackgroundSurgery is the main curative therapeutic strategy for patients with initial primary lung cancer (IPLC). Most international guidelines recommend regular follow-ups after discharge to monitor patients for tumor recurrence and metastasis. As the overall survival (OS) in patients with lung cancer improves, their risk of secondary primary lung cancer (SPLC) increases. Previous studies on such patients lack separate assessment of different survival outcomes and evaluation of high-risk factors for SPLC. Therefore, we aimed to determine the correlation between high-risk factors and causes of death in patients with SPLC, based on the Surveillance, Epidemiology, and End Results (SEER) database.MethodsWe screened the SEER database for patients with IPLC and SPLC from 2004 to 2015 and included only patients who underwent surgery since the IPLC and in whom the cancer was pathologically verified of an International Classification of Diseases grade of 0-3 and to be non-small-cell lung cancer. The standardized incidence ratio (SIR) was calculated between variables and SPLC. Multivariable Cox proportional-hazards regression analyses were conducted to calculate the correlation of different variables with overall survival (OS) and cancer-specific survival (CSS). A competing-risk model was conducted for SPLC. The effect of baseline bias on survival outcomes by performing propensity score matching analysis in a 1: 6 ratio (SPLC: IPLC).ResultsFor patients aged 0-49 years, the overall SIR was higher in older patients, reaching a maximum of 27.74 in those aged 40-49 years, and at 11.63 in patients aged 50-59 years. The overall SIR was higher for patients who were more recently diagnosed with IPLC and increased with time after diagnosis. Male sex, SPLC (hazard ratio, 1.6173; 95% confidence interval, 1.5505-1.6869; P ConclusionsPostoperative radiotherapy is a risk factor for second primary lung cancer and detrimental to overall and cancer-specific survival in patients who had initial primary lung cancer. These data support the need for life-long follow-up of patients who undergo treatment for IPLC to screen for SPLC.</p

Additional file 1: of Deciduous dental caries status and associated risk factors among preschool children in Xuhui District of Shanghai, China

Questionnaire. (PDF 399 kb

Flowchart of Study Selection.

<p>Flowchart of Study Selection.</p

Accuracy of McMonnies Questionnaire as a Screening Tool for Chinese Ophthalmic Outpatients

<div><p>Objective</p><p>To evaluate the accuracy of the McMonnies questionnaire (MQ) as a screening tool for dry eye (DE) among Chinese ophthalmic outpatients.</p><p>Methods</p><p>We recruited 27718 cases from 94 hospitals (research centers), randomly selected from 45 cities in 23 provinces from July to November in 2013. Only symptomatic outpatients were included and they were in a high risk of DE. Outpatients meeting the criteria filled out questionnaires and then underwent clinical examinations by qualified medical practitioners. We mainly evaluated sensitivity, specificity, diagnostic odds ratio (DOR), and area under the receiver-operating characteristic curve (AUC) to evaluate the accuracy of the questionnaire in the diagnosis of dry eye.</p><p>Results</p><p>Of all the subjects included in the study, sensitivity, specificity, and DOR were 0.77, 0.86 and 20.6, respectively. AUC was 0.865 with a 95% CI (0.861, 0.869). The prevalence of DE among the outpatients claiming “constantly” as the frequency of symptom was over 90%. Scratchiness was a more accurate diagnostic indication than dryness, soreness, grittiness or burning. Different cut points of McMonnies Index (MI) scores can be utilized to optimize the screening results.</p><p>Conclusions</p><p>MQ can be an effective screening tool for dry eye. We can take full advantage of MI score during the screening process.</p></div

Adjusted quality of life for cancer survivors.

<p>Adjusted quality of life for cancer survivors.</p

Quality of life for cancer survivors with different PA frequencies.

<p>Quality of life for cancer survivors with different PA frequencies.</p

Quality of Life and Its Association with Physical Activity among Different Types of Cancer Survivors

<div><p>Purpose</p><p>The main goal of this study was to compare the quality of life (QOL) and its association with physical activity (PA) among patients diagnosed with different types of cancer. Based on the results, we tentatively present suggestions for the cancer health care model.</p><p>Method</p><p>A cross-sectional study was conducted with 2915 cancer survivors recruited from multi-community cancer rehabilitation centers, all of which were affiliated with the Shanghai Cancer Rehabilitation Club. We collected data including socio-demographic characteristics and information about PA. All the subjects included were asked to complete the European Organization for Research and Treatment Quality of Life Questionnaires (EORTC QLQ-C30) and Functional Assessment of Cancer Therapy—General Questionnaire (FACT-G). Multiple linear regression models were employed to control the potential confounding factors.</p><p>Results</p><p>Lung cancer survivors reported the worst dyspnea. Colorectal cancer survivors claimed the highest level of constipation and diarrhea. Liver cancer survivors indicated greatest loss of appetite and financial difficulties. Generally, survivors with PA tended to reported better QOL, although these associations among liver cancer survivors were not statistically significant. Moreover, survivors of all cancer types who performed PA did not report significant lower level of constipation or diarrhea. The relationship between PA frequency and QOL among cancer survivors remained unexplored.</p><p>Conclusions</p><p>Both QOL and its association with PA vary among survivors of different cancer types. The detailed results can assist clinicians and public health practitioners with improving health care management.</p></div

Sensitivity, specificity and DOR at different MI score cut-offs.

<p>Sensitivity, specificity and DOR at different MI score cut-offs.</p

Funnel plots without (left column) and with (right column) trim and fill.

<p>The pseudo 95% confidence interval (CI) is computed as part of the analysis that produced the funnel plot and corresponds to the expected 95% CI for a given standard error (SE). HR indicates hazard ratio.</p

Distributions of DE and non-DE groups according to MI.

<p>X axes: McMonnies Index. Y axes: the number of subjects.</p