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Extranodal natural killer/T-cell lymphoma, nasal-type (ENKTL) is a type of rare and distinct entity of non-Hodgkin lymphoma with poor prognosis. It is important to evaluate the early treatment response accurately to decide further treatment strategy. 18F-FDG PET/CT plays an important role in response evaluation and prognostic prediction in some kinds of lymphomas. However, data available regarding patients with ENKTL are limited. Thus, in this prospective study, we analyzed the prognostic value of 18F-FDG PET/CT in ENKTL. Thirty-four patients with newly diagnosed ENKTL were enrolled in this phase 2 study (NCT02825147, July 7, 2016). The patients received pre-, mid-, and end-treatment 18F-FDG PET/CT scans. Deauville score (DS), maximal standardized uptake values (SUVmax), and the change in SUVmax (ΔSUVmax) were recorded for response assessment. The median follow-up period was 42.2 months. The 2-year overall survival (OS) and progression-free survival (PFS) were 82.4% and 73.5%, respectively. Univariate analysis revealed that Ann Arbor stage (P < 0.002), mid-treatment DS (P = 0.005), mid-SUVmax (P = 0.001), mid-∆SUVmax (P = 0.004), end-treatment DS (P < 0.001), and end-SUVmax (P = 0.014) were prognostic factors for OS. Ann Arbor stage (P = 0.001), mid-treatment DS (P = 0.008), mid-SUVmax (P = 0.029), mid-∆SUVmax (P < 0.001), and end-treatment DS (P =0.021) were of prognostic significance for PFS. Multivariate analysis showed that mid-SUVmax (P = 0.042) and DS at the middle (P = 0.050) and end (P = 0.044) of treatment were significant independent predictors of PFS. 18F-FDG PET/CT is useful for predicting the prognosis of ENKTL.

Purpose To determine the association between low molecular weight heparin (LMWH) use and mortality in hospitalized COVID-19 patients. Methods We conducted a retrospective study of patients consecutively enrolled from two major academic hospitals exclusively for COVID-19 in Wuhan, China, from January 26, 2020, to March 26, 2020. The primary outcome was adjusted in-hospital mortality in the LMWH group compared with the non-LMWH group using the propensity score. Results Overall, 525 patients with COVID-19 enrolled with a median age of 64 years (IQR 19), and 49.33% men. Among these, 120 (22.86%) were treated with LMWH. Compared with the non-LMWH group, the LMWH group was more likely to be older and male; had a history of hypertension, diabetes, coronary heart disease (CHD), or stroke; and had more severe COVID-19 parameters such as higher inflammatory cytokines or D-dimer. Compared with non-LMWH group, LMWH group had a higher unadjusted in-hospital mortality rate (21.70% vs. 11.10%; p = 0.004), but a lower adjusted mortality risk (adjusted odds ratio [OR], 0.20; 95% CI, 0.09–0.46). A propensity score-weighting analysis demonstrated similar findings (adjusted OR, 0.18; 95% CI, 0.10–0.30). Subgroup analysis showed a significant survival benefit among those who were severely (adjusted OR, 0.07; 95% CI, 0.02–0.23) and critically ill (adjusted OR, 0.32; 95% CI, 0.15–0.65), as well as among the elderly patients’ age > 65, IL-6 > 10 times upper limit level, and D-dimer > 5 times upper limit level. Conclusions Among hospitalized COVID-19 patients, LMWH use was associated with lower all-cause in-hospital mortality than non-LMWH users. The survival benefit was particularly significant among more severely ill patients.

Summary Background Anthracycline dose optimisation in the treatment of diffuse large B-cell lymphoma has rarely been tested. We aimed to find out whether R-CEOP70 was non-inferior to R-CHOP50 with less cardiotoxicity, and whether R-CEOP90 had a superior efficacy to R-CHOP50 or R-CEOP70 with acceptable toxic effects. Methods In this multicentre, phase 3, randomised, controlled study (NHL-001), patients with newly diagnosed diffuse large B-cell lymphoma or follicular lymphoma grade 3B were enrolled from 20 centres of the Multicenter Hematology–Oncology Programs Evaluation System in China. Young patients (16–60 years) were randomly assigned 1:1:1 (block size of six) to six courses of R-CHOP50, R-CEOP70, or R-CEOP90, and older patients (61–80 years) were assigned 1:1 (block size of four) to R-CHOP50 or R-CEOP70. Patients were randomly assigned using computer-assisted permuted-block randomisation. Investigators and patients were not masked to treatment assignment. In the R-CHOP50 group, patients were given rituximab 375 mg/m2 intravenously on day 0, cyclophosphamide 750 mg/m2, doxorubicin 50 mg/m2, and vincristine 1·4 mg/m2 (maximum dose 2 mg) intravenously on day 1, and prednisone 60 mg/m2 (maximum dose 100 mg) orally from day 1–5; in the R-CEOP70 group, epirubicin 70 mg/m2 replaced doxorubicin; and in the R-CEOP90 group, high dose epirubicin 90 mg/m2 replaced doxorubicin. All patients received two additional courses of rituximab 375 mg/m2 intravenously every 21 days. Consolidation radiotherapy was given to patients with bulky disease at diagnosis or residual disease at the end of treatment. The primary endpoint was 2-year progression-free survival. The non-inferiority margin for R-CEOP70 versus R-CHOP50 was defined by hazard ratio [HR] as the upper limit of its 95% CI being no greater than 1·50. Analysis of efficacy and safety were of the intention-to-treat population. This study is registered with ClinicalTrials.gov , number NCT01852435 . Findings From May 15, 2013, to March 16, 2016, a total of 648 patients were enrolled, including 404 (62%) young patients (R-CHOP50 [n=135], R-CEOP70 [n=134], or R-CEOP90 [n=135]), and 244 (38%) older patients (R-CHOP50 [n=122] or R-CEOP70 [n=122]). Four patients were excluded from the study for consent withdrawal and one patient for misdiagnosis before treatment. The 2-year progression-free survival in the R-CHOP50 group was 72·5% (95% CI 66·6–77·6) and in the R-CEOP70 group was 72·4% ([66·5–77·5]; HR 1·00 [0·73–1·38]; p=0·99). The non-inferiority was met and adverse events were similar between the two groups. Fewer patients in the R-CEOP70 group (14 [13%] of 110) presented with over 10% decrease in left ventricular ejection fraction (LVEF) than those in the R-CHOP50 group (31 [29%] of 108) at 3 years after remission. For young patients, the 2-year progression-free survival in the R-CEOP90 group was 88·8% (82·1–93·1) and was significantly improved compared with the R-CHOP50 group (75·9% [67·7–82·3]; 0·44 [0·25–0·76]; p=0·0047) and the R-CEOP70 group (77·4% [69·4–83·7%]; 0·49 [0·27–0·86]; p=0·017). Grade 3–4 neutropenia occurred more frequently in the R-CEOP90 group (97 [72%] of 134) than in the R-CHOP50 group (87 [65%] of 133) and R-CEOP70 group (84 [63%] of 133) in young patients but without further increase of clinically significant infections. Fewer patients in the R-CEOP70 group (7 [11%] of 66) and in the R-CEOP90 group (10 [13%] of 79) presented with more than 10% decrease in LVEF than those in the R-CHOP50 group (17 [26%] of 66) at 3 years after remission. Interpretation R-CEOP70 could serve as an alternative regimen to R-CHOP50 with mild long-term cardiotoxicity. Young patients with diffuse large B-cell lymphoma might benefit from high-dose epirubicin. Epirubicin is an alternative drug to doxorubicin in regular R-CHOP with mild long-term cardiotoxicity. Funding National Natural Science Foundation of China, National Key Research and Development Program, Shanghai Commission of Science and Technology, Shanghai Municipal Education Commission Gaofeng Clinical Medicine Grant Support, Multicenter Clinical Research Project by Shanghai Jiao Tong University School of Medicine, Clinical Research Plan of Shanghai Hospital Development Center, and Chang Jiang Scholars Program.

Background This study aimed to investigate the association of pre-treatment inflammatory status with survival time and to develop a prognostic nomogram incorporating inflammatory cytokines in non-Hodgkin's lymphoma. Methods A total of 228 patients with diffuse large B-cell lymphoma (DLBCL) received R-CHOP-based regimens from a prospective randomized study (NCT01852435) were included as a training cohort. Other cohorts of 886 lymphoma patients were served as validation cohorts. Lymphocyte-monocyte ratio (LMR), serum levels of soluble interleukin s(IL)-2R, IL-6, IL-8, IL-10 and tumor necrosis factor-α (TNF-α), were assessed before treatment. Least absolute shrinkage and selection operator (LASSO) regression were used to select variables for nomogram of overall survival (OS). The predictive accuracy of the nomogram was determined by concordance index (C-index). Findings The nomogram included lactate dehydrogenase (LDH), sIL-2R, TNF-α and decreased LMR. The C-index of the nomogram for OS prediction were range from 0.61 to 0.86 for training cohort of DLBCL and validation cohorts of DLBCL, PTCL, NKTCL and ASCT, which were superior to the predictive power of International Prognostic Index (IPI, 0.67 to 0.84) or NCCN-IPI (0.59 to 0.78), but not in those of indolent lymphoma like FL and MALT. Interpretations The nomogram incorporating inflammatory cytokines provides a useful tool for risk stratification in aggressive non-Hodgkin's lymphomas. Fund National Natural Science Foundation of China, the Shanghai Commission of Science and Technology, Multicenter Clinical Research Project by Shanghai Jiao Tong University School of Medicine, Clinical Research Plan of SHDC, and Chang Jiang Scholars Program.

Age-related macular degeneration (AMD) can cause irreversible vision loss leading to blindness. We aim to evaluate the efficacy and safety of intravitreal injections of 0.5 mg conbercept, a new anti-vascular endothelial growth factor (anti-VEGF) drug, for treatment of AMD on a schedule more manageable for patients.A prospective, double-masked, multicenter, sham-controlled, phase III randomized trial.Patients: Patients with choroidal neovascularization (CNV) secondary to AMD were enrolled and randomized to the conbercept group or the sham control group.The conbercept group received intravitreal injections of conbercept (0.5 mg) once monthly for the first 3 months, then once quarterly until month 12 (3 + Q3M). The sham group received first 3 monthly sham injections and then 3 monthly injections of conbercept (0.5 mg) followed by quarterly administrations until month 12.The primary endpoint was mean change from baseline in best-corrected visual acuity (BCVA) at month 3.A total of 114 patients (91.9%) from 9 sites in China completed the 12-month study. At the 3-month primary endpoint, the mean changes in BCVA from baseline were +9.20 letters in the conbercept group and +2.02 letters in the sham group, respectively (P .001). At 12 months, the mean changes from baseline in BCVA letter score were +9.98 letters in the conbercept group and +8.81 letters in the sham group (P = .64). The most common ocular adverse events were associated with intravitreal injections, such as conjunctival hemorrhage, and increased intraocular pressure.A conbercept dosing regimen of 3 initial monthly administrations followed by quarterly treatments is effective for treatment of AMD. In previous reports, other anti-VEGF agents were unable to maintain similar clinical benefits with the same regimen.

BACKGROUND Clinical decision support systems are designed to utilize medical data, knowledge, and analysis engines and to generate patient-specific assessments or recommendations to health professionals in order to assist decision making. Artificial intelligence–enabled clinical decision support systems aid the decision-making process through an intelligent component. Well-defined evaluation methods are essential to ensure the seamless integration and contribution of these systems to clinical practice. OBJECTIVE The purpose of this study was to develop and validate a measurement instrument and test the interrelationships of evaluation variables for an artificial intelligence–enabled clinical decision support system evaluation framework. METHODS An artificial intelligence–enabled clinical decision support system evaluation framework consisting of 6 variables was developed. A Delphi process was conducted to develop the measurement instrument items. Cognitive interviews and pretesting were performed to refine the questions. Web-based survey response data were analyzed to remove irrelevant questions from the measurement instrument, to test dimensional structure, and to assess reliability and validity. The interrelationships of relevant variables were tested and verified using path analysis, and a 28-item measurement instrument was developed. Measurement instrument survey responses were collected from 156 respondents. RESULTS The Cronbach α of the measurement instrument was 0.963, and its content validity was 0.943. Values of average variance extracted ranged from 0.582 to 0.756, and values of the heterotrait-monotrait ratio ranged from 0.376 to 0.896. The final model had a good fit (χ262=36.984; P=.08; comparative fit index 0.991; goodness-of-fit index 0.957; root mean square error of approximation 0.052; standardized root mean square residual 0.028). Variables in the final model accounted for 89% of the variance in the user acceptance dimension. CONCLUSIONS User acceptance is the central dimension of artificial intelligence–enabled clinical decision support system success. Acceptance was directly influenced by perceived ease of use, information quality, service quality, and perceived benefit. Acceptance was also indirectly influenced by system quality and information quality through perceived ease of use. User acceptance and perceived benefit were interrelated.

BackgroundClinical decision support systems are designed to utilize medical data, knowledge, and analysis engines and to generate patient-specific assessments or recommendations to health professionals in order to assist decision making. Artificial intelligence–enabled clinical decision support systems aid the decision-making process through an intelligent component. Well-defined evaluation methods are essential to ensure the seamless integration and contribution of these systems to clinical practice.ObjectiveThe purpose of this study was to develop and validate a measurement instrument and test the interrelationships of evaluation variables for an artificial intelligence–enabled clinical decision support system evaluation framework.MethodsAn artificial intelligence–enabled clinical decision support system evaluation framework consisting of 6 variables was developed. A Delphi process was conducted to develop the measurement instrument items. Cognitive interviews and pretesting were performed to refine the questions. Web-based survey response data were analyzed to remove irrelevant questions from the measurement instrument, to test dimensional structure, and to assess reliability and validity. The interrelationships of relevant variables were tested and verified using path analysis, and a 28-item measurement instrument was developed. Measurement instrument survey responses were collected from 156 respondents.ResultsThe Cronbach α of the measurement instrument was 0.963, and its content validity was 0.943. Values of average variance extracted ranged from 0.582 to 0.756, and values of the heterotrait-monotrait ratio ranged from 0.376 to 0.896. The final model had a good fit (χ262=36.984; P=.08; comparative fit index 0.991; goodness-of-fit index 0.957; root mean square error of approximation 0.052; standardized root mean square residual 0.028). Variables in the final model accounted for 89% of the variance in the user acceptance dimension.ConclusionsUser acceptance is the central dimension of artificial intelligence–enabled clinical decision support system success. Acceptance was directly influenced by perceived ease of use, information quality, service quality, and perceived benefit. Acceptance was also indirectly influenced by system quality and information quality through perceived ease of use. User acceptance and perceived benefit were interrelated.

Background Diffuse large B‐cell lymphoma (DLBCL) is an aggressive subtype of lymphoma, and multiple extranodal involvement (ENI) indicates adverse clinical outcomes. The aim of this study was to investigate the influence of oncogenic mutations and tumor microenvironment alterations on ENI in DLBCL. Methods The clinical features of 1960 patients with newly diagnosed DLBCL were analyzed, and DNA and RNA sequencing was performed on 670 and 349 patients, respectively. Oncogenic mutations and tumor microenvironment alterations were compared according to ENI and evaluated in zebrafish patient‐derived tumor xenograft models. Results Multiple ENI was significantly associated with poor performance status, advanced stage, elevated serum lactate dehydrogenase, low response rate, and inferior prognosis. Lymphoma invasion of the bones, spleen, bone marrow, liver, and central nervous system were independent unfavorable prognostic factors. MYD88 was frequently mutated in patients with multiple ENI, co‐occurred with mutations in CD79B, PIM1, TBL1XR1, BTG1, MPEG1, and PRDM1, and correlated with invasion of the bones, kidney/adrenal glands, breasts, testes, skin, and uterus/ovaries. For tumor microenvironment alterations, patients with multiple ENI showed higher regulatory T‐cell (Treg)‐recruiting activity, but lower extracellular matrix‐encoding gene expression, than those without ENI and with single ENI. Elevated Treg‐recruiting activity was related to mutations in B2M, SGK1, FOXO1, HIST1H1E, and ARID1A, and correlated with invasion of the bone marrow and thyroid. Additionally, mutations in MYD88, PIM1, TBL1XR1, SGK1, FOXO1, HIST1H1E, and ARID1A were associated with decreased major histocompatibility complex class I expression. Zebrafish models further revealed relationships between MYD88 mutations and invasion of the kidneys and gonads, as well as B2M mutations and invasion of the bone marrow. Increased CXCR4 expression is linked to bone marrow invasion in an organotropic way. Conclusions Our findings thus contribute to an improved understanding of the biological behavior of multiple ENI and provide a clinical rationale for targeting ENI in DLBCL., 1. DLBCL patients with multiple extranodal involvement presented advanced disease stage and poor prognosis. 2. Oncogenic mutations were associated with multiple extranodal involvement. 3. Increased Treg‐recruiting activity and decreased extracellular matrix expression of the tumor microenvironment correlated with multiple extranodal involvement.

Extranodal natural killer/T-cell lymphoma, nasal-type (ENKTL) is a type of rare and distinct entity of non-Hodgkin lymphoma with poor prognosis. It is important to evaluate the early treatment response accurately to decide further treatment strategy.

Background The prognosis of Chinese patients with eyelid sebaceous carcinoma (SC) has not been updated for >3 decades. The prognostic predictors are multifactorial, and there is no validated prognostic model for eyelid SC. Methods This study included 238 consecutive patients with eyelid SC. All eligible patients were followed up for metastasis and mortality. The predictors of tumor-related survival were explored by Cox analyses. A prognostic nomogram was developed and validated using bootstrap resampling. The predictive accuracy and discriminative ability were compared between the nomogram and the Tumor, Node, Metastasis (TNM) staging system. Findings After a median follow-up period of 55.5 months, 27 (11.3%) patients died of metastatic SC, with a median survival time of 48.0 months. The 5-year and 10-year tumor-related survival rates were 88.1% and 77.9%, respectively. Orbital involvement (HR: 3.11, p = .022), the greatest tumor basal diameter (HR: 1.06, p = .003), the presence of pagetoid spread (HR: 2.90, p = .017), and having lymph node metastasis at initial diagnosis (HR: 13.66, p

Background Obstructive sleep apnea (OSA) and excessive daytime sleepiness (EDS) were considered to contribute to MetS. This study was performed to assess the association between MetS and EDS in two independent large-scale populations, and in subjects who underwent upper-airway surgery. Methods A total of 6312 patients without self-reported depression and 3578 suspected OSA patients were consecutively recruited, during health screening examinations and from our sleep center, respectively. A total of 57 subjects with OSA who underwent upper-airway surgery were also included. Demographic, anthropometric, biochemical, and polysomnographic data were obtained. Results In the health screening examination group, 233 (9.23%) women and 350 (10.93%) men had complaints of EDS. A total of 229 (7.04%) women and 1182 (36.88%) men met the criteria for MetS. In the OSA group, 147 (21.18%) women and 1058 (36.69%) men reported EDS. In addition, 93 (13.4%) women and 1368 (47.43%) men reported MetS. In the health screening examination group, EDS did not contribute significantly to MetS (OR = 1.125, 95% CI: 0.907–1.395; p = 0.283). In the OSA group, EDS significantly contributed to MetS (OR = 1.249, 95% CI: 1.063–1.468; p = 0.007); however, the results were not significant after adjusting for sleep variables (OR = 1.071, 95% CI: 0.905–1.268; p = 0.423). Upper-airway surgery did not affect cardio-metabolic variables in OSA patients with or without EDS. Conclusions EDS was not associated with MetS in two independent large-scale cohorts. In addition, upper-airway surgery did not affect components of MetS in OSA patients with and without EDS.

PURPOSE To investigate the association of plasma and vitreous leucine-rich-α2-glycoprotein (LRG1) with diabetic retinopathy (DR) progression. METHODS A total of 86 outpatients and 33 inpatients were recruited. Outpatients with type 2 diabetes mellitus (T2DM) were classified as T2DM without DR (n = 22), nonproliferative DR (NPDR) (n = 20) and proliferative DR (PDR) (n = 22) based on international clinical DR severity scales. A total of 86 plasma and 33 vitreous samples were collected and subjected to enzyme-linked immunosorbent assay. The diagnostic value of plasma LRG1 was tested using receiver operating characteristic (ROC) curves. RESULTS Plasma LRG1 in PDR patients (9025 ± 1870 pg/ml) was significantly increased as compared with controls (5975 ± 2022 pg/ml), T2DM without DR (6550 ± 2359 pg/ml) and NPDR patients (6550 ± 2359 pg/ml) (p

Roll forming has been widely used to manufacture constant cross-section products because of high quality, efficiency and low cost. It is quite epidemic in producing automobile parts made of advanced high strength steels (AHSS) nowadays. However, with the development of the vehicle industry and diversity of the products, variable cross-section profiles have attracted more and more attention. The traditional roll forming technique is difficult to meet the requirements. Chain-die forming which was introduced in recent years makes it possible. Chain-die forming is an extension of roll forming and its key characteristic is enlarging the rotation radii of the moulds, by which the deformation zone is extended. The study focused on the finite element simulations of Chain-die forming U profiles with variable cross-section, including variable width and height. The feasibility of Chain-die forming producing variable cross-section products was verified by the perfect simulation results. The advantage of Chain-die forming was that there was no need to design the intermediate moulds except the finished-profile ones, which reduced the mould quantity immensely. Then the cost was lower.

Background Course quality assessment contributes to evaluate teaching effectiveness and to improve student learning. Several course quality assessment questionnaires have been carried out associated with teaching quality evaluation of medical education. However, little is known about views of medical students regarding the quality of preclinical courses. To fill this gap, we aimed to develop a novel multi-dimension instrument for assessing teaching quality with the perception of medical students in preclinical courses.Methods The original Teaching Quality Evaluation Questionnaire (TQEQ) containing seven dimensions: course contents, teaching abilities, teaching methods, teaching attitudes, learning outcomes, teacher characteristics, student subjection, consisting of 47 items was formed according to literature reviews and group design. We sent the original questionnaires with items in a random order to medical students of Shanghai Jiao Tong University School of Medicine. After collecting the valid questionnaires, the exploratory factor analysis was conducted to assess construct validity and Cronbach’s alpha coefficient was used for evaluating internal consistency reliability of the questionnaires.Results In total, 590/646 (91.3%) of participants completed the questionnaire regarding preclinical course evaluation. The exploratory factor analysis yielded seven common factors, learning outcomes, teaching attitudes, student subjection, teaching abilities, teaching methods, teacher characteristics, teaching interactions, consisting of 39 items explained 58.449% of total variance and the factor loading value was above 0.4. In addition, Cronbach’s alpha coefficients ranged from 0.669 to 0.914.Conclusion This study provides a new, validated and useful instrument for measuring teaching effectiveness of preclinical courses based on the views of medical students. It is feasible for use in medical schools.

Introduction of and how to perform LASSO regression method (described by Pripp AH, et elâ s study). (DOCX 18 kb)

Additional file 1. Description and basic characteristics of the three cohorts.

Background The high cost and low availability of polysomnography (PSG) limits the timely diagnosis of OSA. Herein, we developed and validated a simple-to-use nomogram for predicting OSA. Methods We collected and analyzed the cross-sectional data of 4162 participants with suspected OSA, seen at our sleep center between 2007 and 2016. Demographic, biochemical and anthropometric data, as well as sleep parameters were obtained. A least absolute shrinkage and selection operator (LASSO) regression model was used to reduce data dimensionality, select factors, and construct the nomogram. The performance of the nomogram was assessed using calibration and discrimination. Internal validation was also performed. Results The LASSO regression analysis identified age, sex, body mass index, neck circumference, waist circumference, glucose, insulin, and apolipoprotein B as significant predictive factors of OSA. Our nomogram model showed good discrimination and calibration in terms of predicting OSA, and had a C-index value of 0.839 according to the internal validation. Discrimination and calibration in the validation group was also good (C-index = 0.820). The nomogram identified individuals at risk for OSA with an area under the curve (AUC) of 0.84 [95% confidence interval (CI), 0.83–0.86]. Conclusions Our simple-to-use nomogram is not intended to replace standard PSG, but will help physicians better make decisions on PSG arrangement for the patients referred to sleep center. Electronic supplementary material The online version of this article (10.1186/s12890-019-0782-1) contains supplementary material, which is available to authorized users.

Growing evidence suggests an independent relationship between obstructive sleep apnea syndrome (OSAS) and metabolic syndrome (MS). Patients with OSAS always show clustering of metabolic components. However, the understanding of interplay between OSAS and metabolic components is still lacking. Participants were consecutively enrolled from our sleep center during the period 2009–2013. Anthropometric variables, metabolic indicators, and sleep parameters were collected from all participants. The factor structure for MS in OSAS and non-OSAS was examined by confirmatory factor analysis. The OSAS and non-OSAS demonstrated clustering of metabolic components. MS in patients with OSAS was strongly associated with insulin resistance (standardized factor loading = 0.93, p

Ophthalmic centers. (DOCX 18 kb)

Case report form. (PDF 114 kb)

Background: The prognosis of Chinese patients with eyelid sebaceous gland carcinoma (SC) has not been updated for more than 3 decades. The predictors for the prognoses are multifactorial, there is no validated prognostic model for eyelid SC. Methods: The study included 238 consecutive patients with eyelid SC. All patients were followed up for metastasis and mortality. The predictors of tumor-related survival were explored by Cox analyses. A prognostic nomogram was developed and validated using bootstrap resampling. The predictive accuracy and discriminative ability were compared between nomogram and Tumor, Node, Metastasis (TNM) staging system. Findings: After a median follow-up period of 55.5 months, 27 (11.3%) patients died of the metastatic SC, with a median survival time of 48.0 months. The 5-year and 10-year tumor-related survival rate was 88.1% and 77.9%, respectively. Prior radiation therapy (HR:5.63, p=0.003), tumor with orbital involvement (HR:4.64, p=0.001), greatest tumor basal diameter (HR:1.07, p

Clinical information collected from V1 to V5. (PDF 55 kb)

Objectives Many clinical studies have indicated that obstructive sleep apnoea (OSA), the most common chronic sleep disorder, may affect neurocognitive function, and that treatment for continuous positive airway pressure (CPAP) has some neurocognitive protective effects against the adverse effects of OSA. However, the effects of CPAP treatment on neurocognitive architecture and function remain unclear. Therefore, this multicentre trial was designed to investigate whether and when neurocognitive architecture and function in patients with OSA can be improved by CPAP treatment and to explore the role of gut microbiota in improving neurocognitive function during treatment. Methods/design This study will be a multicentre, randomised, controlled trial with allocation concealment and assessor blinding. A total of 148 eligible patients with moderate to severe OSA will be enrolled from five sleep centres and randomised to receive CPAP with best supportive care (BSC) intervention or BSC intervention alone. Cognitive function, structure and function of brain regions, gut microbiota, metabolites, biochemical variables, electrocardiography, echocardiography, pulmonary function and arterial stiffness will be assessed at baseline before randomisation and at 3, 6 and 12 months. Ethics and dissemination This study has been approved by the Medical Ethics Committee of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital (approval number 2015-79). The results from this study will be published in peer-reviewed journals and at relevant conferences. Trial registration number NCT02886156; pre-results.

The dynamical stability of iron under high-temperature and high-pressure conditions was investigated based on the phonons evaluated by using a recently developed method. It is revealed that both the fcc-Fe and the hcp-Fe are dynamically stable in a wide temperature and pressure range. The bcc-Fe phase can be stable as well, while in a limited temperature/pressure regime bounded by a dynamical stability limit and a harmonic limit. Direct evidence shows that it is the entropy term that plays a critical role in stabilizing the bcc-Fe under high-temperature and high-pressure conditions.