非小细胞肺癌 EG FR 基因突变检测与临床意义

采用荧光PCR法对199例晚期非小细胞肺癌（NSCLC ）组织进行表皮生长因子受体（EGFR ）基因突变检测,分析EGFR基因突变的分布特征及其与临床病理特征的相关性。结果显示56例（28．1％）存在EGFR基因突变,其中27例（13．6％）为外显子19突变,25例（12．6％）为外显子21突变,2例为外显子18突变,1例外显子20突变,1例外显子18和20的共突变。另外,除广东及安徽省铜陵市外,辽宁地区NSCLC患者EGFR基因突变率及主要突变类型与其他地区相符,常见于外显子19、21突变,其中腺癌、不吸烟患者突变率更高,更适宜EGFR-TKI靶向治疗。     

替格瑞洛与氯吡格雷对急性STEMI患者急诊PCI术后炎症因子的影响

为比较替格瑞洛与氯吡格雷对急性ST段抬高型心肌梗死（STEMI）患者急诊经皮冠状动脉介入术（PCI）术后炎症因子的影响,将176例急性STEMI且行急诊PCI术的患者分为替格瑞洛组（A组）58例、氯吡格雷常规组（B组）58例、氯吡格雷强化组（C组）60例,分别测定术前、术后12小时、术后7天、术后1个月、术后3个月、6个月时炎症因子e反应蛋白（CRP）、白细胞介素-6（IL6）、髓过氧物酶（MPO）、可溶性CD40受体（sCD40L）的含量,比较3组患者各炎症因子在不同时间点有无统计学差异。结果显示c组和A组较B组明显降低（P〈0．05）,有统计学意义,而A组较c组稍降低（P〉0．05）,但两者无统计学意义。由此可见,替格瑞洛的抗炎作用较常规剂量氯吡格雷作用明显增强,和强化剂量氯吡格雷作用相仿。     

EGFR突变NSCLC二线TKIs治疗优化选择

恶性肿瘤的治疗已经进入驱动基因指导下的个体治疗时代,肺癌患者应该进行多基因检测,特别是表皮生长因子受体（EGFR）基因突变。EGFR基因突变的非小细胞肺癌（NSCLC）患者,如果一线接受了化疗,二线应该选择表皮生长因子受体一酪氨酸酶抑制剂（EGFR—TKIs）。EGFR基因突变的NSCLC患者一线EGFR—TKIs治疗失败后,二线治疗应该是个体化合理选择,包括局部放疗、化疗和继续EGFR—TKIs。目前一代和二代EGFR—TKIs药物之间未见到显著疗效差别。第三代EGFR—TKIs是目前的EGFR—TKIs耐药后的最有希望的选择,特别是针对T790M突变耐药。     

IGFBP-2及IGFBP-6在结直肠癌中的表达及意义

研究胰岛素样生长因子结合蛋白2（IGFBP-2）及胰岛素样生长因子结合蛋白6（IGFBP-6）在结直肠癌中的表达及临床意义。采用免疫组织化学法及RT-PCR方法检测结直肠癌、结直肠腺瘤及癌旁正常黏膜组织中IGFBP-2及IGFBP-6的蛋白及mRNA的表达情况,结合临床病理资料进行统计学分析。IGFBP-2及IGFBP-6蛋白的阳性表达及mRNA的表达量在三组组织中均存在异常表达情况,且差异有明显的统计学意义（P〈0.05）,在结直肠癌组IGFBP-2、IGFBP-6的阳性表达在肿瘤浸润深度、有无淋巴结转移及Duke＇s分期存在差异,有明显的统计学差异（P〈0.05）。临床可以把二者作为结直肠癌诊断及预后的早期预测指标。     

Italian Adaptation and Confirmatory Factor Analysis of the Full and the Short Form of the Posttraumatic Growth Inventory

This study was designed to adapt and to assess the reliability and factor structure of an Italian translation of the full and short form of the Posttraumatic Growth Inventory. A sample of 1,244 Italian adults who had experienced a range of adverse life events participated in this study. Five models of the underlying structure of the Posttraumatic Growth Inventory were tested via confirmatory factor analyses. Analyses of both the short and full form of the PTGI provided support for the original correlated five-factor structure. Multigroup confirmatory factor analysis supported the invariance of the Posttraumatic Growth Inventory across gender.     

An Initial Investigation of the Factor-Analytic Structure of the Impact of Event Scale-Revised With a Volunteer Firefighter Sample

We provide an initial evaluation of the factor structure of the Impact of Event Scale-Revised (IES-R) when used with a volunteer firefighter and a similar community participant sample. A volunteer firefighter sample (n = 65) and a sample of similar community respondents (n = 103) completed a questionnaire study, including responses to the IES-R. The IES-R data from both groups were entered into a three-factor principal components analysis with direct oblimin rotation. We found further support for the validity of the IES-R when used with a community sample. However, our data suggested that when using the IES-R with a community sample, the choice between a two- and a three-factor model may depend on the composition of the participants. For volunteer firefighters, the factor-analytic structure of the IES-R appeared to be similar to that of the community sample, with more scatter in terms of item loadings. To our knowledge, there is no previous research considering the use of the IES-R with a strictly volunteer firefighter sample. In addition, despite adequate research on the factor-analytic structure of the original IES, little research has considered the factor-analytic structure of the more recent IES-R, even with community samples.     

The “impact factor style of thinking”: A new theoretical framework

Over the last few years, university policy in developed countries has placed too much emphasis on assessing publications on the basis of the impact factor. Any scientific material that has not been published in a journal indexed in the Journal Citation Reports is academically irrelevant. Hence, researchers strive hard to publish in such journals. Failure to achieve this means not having a successful career or receiving any academic recognition. A thorough analysis of the effects of this phenomenon on the researcher community leads to the conclusion that the overestimation of the impact factor is likely to cause disappointment among many researchers. Researchers only have two options: adopting a politically correct behavior, that is, following the “impact factor style of thinking”, or accepting the futility of their research regardless of its relevance. This is an example of the involvement of university policy habitus obsessed impact index. O policy impact index is accepted, or is doomed to academic ostracism, and exclusion from participation in all university policy.     

Standard errors and confidence intervals for correlations corrected for indirect range restriction: A simulation study comparing analytic and bootstrap methods

A frequent topic of psychological research is the estimation of the correlation between two variables from a sample that underwent a selection process based on a third variable. Due to indirect range restriction, the sample correlation is a biased estimator of the population correlation, and a correction formula is used. In the past, bootstrap standard error and confidence intervals for the corrected correlations were examined with normal data. The present study proposes a large-sample estimate (an analytic method) for the standard error, and a corresponding confidence interval for the corrected correlation. Monte Carlo simulation studies involving both normal and non-normal data were conducted to examine the empirical performance of the bootstrap and analytic methods. Results indicated that with both normal and non-normal data, the bootstrap standard error and confidence interval were generally accurate across simulation conditions (restricted sample size, selection ratio, and population correlations) and outperformed estimates of the analytic method. However, with certain combinations of distribution type and model conditions, the analytic method has an advantage, offering reasonable estimates of the standard error and confidence interval without resorting to the bootstrap procedure's computer-intensive approach. We provide SAS code for the simulation studies.     

What kind of kind is intelligence?

The model of human intelligence that is most widely adopted derives from psychometrics and behavioral genetics. This standard approach conceives intelligence as a general cognitive ability that is genetically highly heritable and describable using quantitative traits analysis. The paper analyzes intelligence within the debate on natural kinds and contends that the general intelligence conceptualization does not carve psychological nature at its joints. Moreover, I argue that this model assumes an essentialist perspective. As an alternative, I consider an HPC theory of intelligence and evaluate how it deals with essentialism and with intuitions coming from cognitive science. Finally, I highlight some concerns about the HPC model as well, and conclude by suggesting that it is unnecessary to treat intelligence as a kind in any sense.