Explore the vast range of titles available.

في كتابه \"تحديث الاقتصاد الصيني\" يتناول تشياو جنغ عملية الإصلاح الاقتصادي في الصين خلال ثلاثة عقود تم فيها وصف التطور السريع لاقتصاد الصين ب\"المعجزة الاقتصادية\"، ولكنه وصف غير دقيق -بتعبير المؤلف- وبمعنى أكثر دقة، يعتبر التطور السريع لاقتصاد الصين مجرد عملية انتعاش اقتصادي. إنها عملية مواكبة لاقتصادات الأسواق في المناطق المتقدمة.

To provide a complete toxicity profile, toxicity spectrum, and a safety ranking of immune checkpoint inhibitor (ICI) drugs for treatment of cancer. Systematic review and network meta-analysis. Electronic databases (PubMed, Embase, Cochrane Library, and Web of Science) were systematically searched to include relevant studies published in English between January 2007 and February 2018. Only head-to-head phase II and III randomised controlled trials comparing any two or three of the following treatments or different doses of the same ICI drug were included: nivolumab, pembrolizumab, ipilimumab, tremelimumab, atezolizumab, conventional therapy (chemotherapy, targeted therapy, and their combinations), two ICI drugs, or one ICI drug with conventional therapy. Eligible studies must have reported site, organ, or system level data on treatment related adverse events. High quality, single arm trials and placebo controlled trials on ICI drugs were selected to establish a validation group. 36 head-to-head phase II and III randomised trials (n=15 370) were included. The general safety of ICI drugs ranked from high to low for all adverse events was as follows: atezolizumab (probability 76%, pooled incidence 66.4%), nivolumab (56%, 71.8%), pembrolizumab (55%, 75.1%), ipilimumab (55%, 86.8%), and tremelimumab (54%, not applicable). The general safety of ICI drugs ranked from high to low for severe or life threatening adverse events was as follows: atezolizumab (49%, 15.1%), nivolumab (46%, 14.1%), pembrolizumab (72%, 19.8%), ipilimumab (51%, 28.6%), and tremelimumab (28%, not applicable). Compared with conventional therapy, treatment-related adverse events for ICI drugs occurred mainly in the skin, endocrine, hepatic, and pulmonary systems. Taking one ICI drug was generally safer than taking two ICI drugs or one ICI drug with conventional therapy. Among the five ICI drugs, atezolizumab had the highest risk of hypothyroidism, nausea, and vomiting. The predominant treatment-related adverse events for pembrolizumab were arthralgia, pneumonitis, and hepatic toxicities. The main treatment-related adverse events for ipilimumab were skin, gastrointestinal, and renal toxicities. Nivolumab had a narrow and mild toxicity spectrum, mainly causing endocrine toxicities. Integrated evidence from the pooled incidences, subgroup, and sensitivity analyses implied that nivolumab is the best option in terms of safety, especially for the treatment of lung cancer. Compared with other ICI drugs used to treat cancer, atezolizumab had the best safety profile in general, and nivolumab had the best safety profile in lung cancer when taking an integrated approach. The safety ranking of treatments based on ICI drugs is modulated by specific treatment-related adverse events. PROSPERO CRD42017082553.

Currently, there is no strong evidence of the well-established biomarkers for immune checkpoint inhibitors (ICIs) in nasopharyngeal carcinoma (NPC). Here, we aimed to reveal the heterogeneity of tumour microenvironment (TME) through virtual microdissection of gene expression profiles. An immune-enriched subtype was identified in 38% (43/113) of patients, which was characterized by significant enrichment of immune cells or immune responses. The remaining patients were therefore classified as a non-Immune Subtype (non-IS), which exhibited highly proliferative features. Then we identified a tumour immune evasion state within the immune-enriched subtype (18/43, 42%), in which high expression of exclusion- and dysfunction-related signatures was observed. These subgroups were designated the Evaded and Active Immune Subtype (E-IS and A-IS), respectively. We further demonstrated that A-IS predicted favourable survival and improved ICI response as compared to E-IS and non-IS. In summary, this study introduces the novel immune subtypes and demonstrates their feasibility in tailoring immunotherapeutic strategies.

Adding three cycles of induction chemotherapy with gemcitabine and cisplatin to concurrent chemoradiotherapy improved 3-year recurrence-free survival (85.3%, vs. 76.5% with concurrent chemoradiotherapy alone) and overall survival (94.6% vs. 90.3%). Patients receiving induction chemotherapy were more likely to have grade 3 or 4 myelosuppression, nausea, and vomiting.

Nasopharyngeal carcinoma (NPC) is a malignant epithelial tumor originating in the nasopharynx and has a high incidence in Southeast Asia and North Africa. To develop these comprehensive guidelines for the diagnosis and management of NPC, the Chinese Society of Clinical Oncology (CSCO) arranged a multi‐disciplinary team comprising of experts from all sub‐specialties of NPC to write, discuss, and revise the guidelines. Based on the findings of evidence‐based medicine in China and abroad, domestic experts have iteratively developed these guidelines to provide proper management of NPC. Overall, the guidelines describe the screening, clinical and pathological diagnosis, staging and risk assessment, therapies, and follow‐up of NPC, which aim to improve the management of NPC.

Low serum albumin is predictive of poor survival in nasopharyngeal carcinoma (NPC). We evaluated the ability of the pretreatment albumin/globulin ratio (AGR) to predict long-term mortality in patients with NPC. This retrospective study examined an unselected cohort of 694 patients with NPC who had documented pretreatment total serum protein and serum albumin levels (ALB). AGR was calculated as [AGR = ALB/(total serum protein--ALB)]. Survival analysis was used to evaluate the predictive value of AGR. Multivariate analysis demonstrated that a low pretreatment serum AGR (<1.4) was an independent predictor of poor OS (P  = 0.029) and DMFS (P  = 0.033). A low AGR was significantly associated with advanced stage disease (P<0.001), high white blood cell count (P  = 0.033), high neutrophil count (P  = 0.047), high total serum protein (P<0.001) and low ALB (P<0.001). The pretreatment AGR may represent a simple, potentially useful predictive biomarker for evaluating the long-term prognosis of patients with undifferentiated NPC.

Background The hunt for the molecular markers with specificity and sensitivity has been a hot area for the tumor treatment. Due to the poor diagnosis and prognosis of pancreatic cancer (PC), the excision rate is often low, which makes it more urgent to find the ideal tumor markers. Methods Robust Rank Aggreg (RRA) methods was firstly applied to identify the differentially expressed genes (DEGs) between PC tissues and normal tissues from GSE28735, GSE15471, GSE16515, and GSE101448. Among these DEGs, the highly correlated genes were clustered using WGCNA analysis. The co-expression networks and molecular complex detection (MCODE) Cytoscape app were then performed to find the sub-clusters and confirm 35 candidate genes. For these genes, least absolute shrinkage and selection operator (lasso) regression model was applied and validated to build a diagnostic risk score model. Cox proportional hazard regression analysis was used and validated to build a prognostic model. Results Based on integrated transcriptomic analysis, we identified a 19 gene module ( SYCN , PNLIPRP1 , CAP2 , GNMT , MAT1A , ABAT , GPT2 , ADHFE1 , PHGDH , PSAT1 , ERP27 , PDIA2 , MT1H , COMP , COL5A2 , FN1 , COL1A2 , FAP and POSTN ) as a specific predictive signature for the diagnosis of PC. Based on the two consideration, accuracy and feasibility, we simplified the diagnostic risk model as a four-gene model: 0.3034*log 2 ( MAT1A )-0.1526*log 2 ( MT1H ) + 0.4645*log 2 ( FN1 ) -0.2244*log 2 ( FAP ), log 2 (gene count). Besides, a four-hub gene module was also identified as prognostic model = − 1.400*log 2 ( CEL ) + 1.321*log 2 ( CPA1 ) + 0.454*log 2 ( POSTN ) + 1.011*log 2 ( PM20D1 ), log 2 (gene count). Conclusion Integrated transcriptomic analysis identifies two four-hub gene modules as specific predictive signatures for the diagnosis and prognosis of PC, which may bring new sight for the clinical practice of PC.

Anapole modes of all-dielectric nanostructures hold great promise for many nanophotonic applications. However, anapole modes can hardly couple to other modes through far-field interactions, and their near-field enhancements are dispersed widely inside the nanostructures. These facts bring challenges to the further increasing of the response of an anapole mode. Here, we theoretically show that an anapole mode response in a dielectric nanostructure can be boosted through electromagnetic interactions with the coupling distance of a wavelength scale, which is beyond both the near-field and far-field limits. The all-dielectric nanostructure consists of a disk holding an anapole mode and a ring. Both analytical calculations and numerical simulations are carried out to investigate the electromagnetic interactions in the system. It is found that the electric dipoles associated with the fields of the anapole mode on the disk undergo retardation-related interactions with the electric dipoles associated with the ring, leading to the efficiently enhanced response of the anapole mode. The corresponding near field enhancement on the disk can reaches more than 90 times for a slotted silicon disk-ring nanostructure, where the width of the slot is 10 nm. This enhancement is about 5 times larger than that of an individual slotted disk. Our results reveal the greatly enhanced anapole mode through electromagnetic couplings in all-dielectric nanostructures, and the corresponding large field enhancement could find important applications for enhanced nonlinear photonics, near-field enhanced spectroscopies, and strong photon–exciton couplings.

Background: Disability is an important problem in aging societies globally. However, the research findings of the prevalence of disability have been inconsistent. This study aims to estimate the prevalence of disability and its influencing factors among the Chinese older population from 1979 to 31 July 2021. Methods: A systematic review and meta-analysis were conducted using both international (PubMed, Web of Science, CBMdisc, PsycINFO, the Cochrane Library, and EMBASE) and Chinese (CNKI, CQVIP, and WanFang) databases. Meta-analysis was performed using a random-effects model to account for heterogeneity. Subgroup analyses were also done. Results: The pooled prevalence of disability across all 97 studies was 26.2% (95% CI: 23.7–28.6%). The estimates varied according to the types of activities of daily living (ADL), gender, age, and region. Studies based on the identification of cases by using the complete ADL scale showed a higher prevalence than those using the basic ADL scale. The prevalence was slightly higher among female older individuals than among male older individuals. The highest rates were seen in older individuals aged 80 years or older. Elders in central China, southwest China, and northwest China were more likely to be BADL-disabled. Conclusion: Prevalence of disability among the Chinese older population is high, around 26%. Using standardized diagnostic systems to correctly estimate the prevalence of disability would be helpful for public health professionals in China.

Objective Fear of recurrence is a common psychosocial sequela among patients with heart disease. Analyses of coronary heart disease, particularly in elderly patients, are relatively rare. This study aimed to investigate the current situation in this context, as well as the influencing fear factors concerning recurrence in elderly patients with coronary heart disease. Methods A total of 200 elderly outpatients with coronary heart disease were recruited to participate in this survey from a tertiary hospital in Baoding (China). The questionnaires included items from the Disease Progression Simplified Scale, the Simplified Coping Style Questionnaire, and the Social Support Rating Scale (SSRS). Univariate and multivariate regression analyses were adopted to investigate the influencing factors on the fear of recurrence. Results The fear of recurrence score in elderly patients with coronary heart disease was (38.46 ± 8.13), among which 119 cases (59.5%) scored higher than 34 points. The SSRS total average score was (34.89 ± 9.83) points. Positive coping style and social support were negatively correlated with the total score of recurrence fear (r =  − 0.621, − 0.413, both P  < 0.001). There was a positive correlation between negative coping style and the total score of recurrence fear (r = 0.232, P  < 0.001). Multiple linear regression analysis showed that the course of the disease, the number of disease recurrence cases, active coping, and social support were relevant factors in fear of recurrence (all P  < 0.05). Conclusion The detection rate of fear of recurrence in elderly patients with coronary heart disease was relatively high but could be reduced by active interventions and enhancing social support.