论谓项量化、主项质化理论在语言逻辑中的价值与影响

哈米尔顿的谓项量化理论揭示了量化命题中的简单换位规律 ,突破了原有三段论的规则 ,增加了大量新的三段论式。德摩根的主项质化理论给传统的逻辑方阵增添了新的内容 ,八个命题之间存在着紧密的内在联系 ,谓项量化、主项质化命题有着广泛的思维空间和运用价值 ,且语言表达灵活多样。哈米尔顿和德摩根都对联项“是”作了深入研究、赋予新的内涵 ,给逻辑注入了新的活力。     

宫颈细胞学的临床价值

目的:探讨宫颈细胞学筛查的准确性和对临床的指导意义。方法:收集2003年四川大学附属华西第二医院筛查出382例宫颈细胞为ASC/AGC及以上病变患者的阴道镜检查、病理诊断等资料和同期住院1 147例宫颈细胞学为阴性患者的组织学结果,并将部分细胞学标本进行再次诊断,比较二次细胞学诊断结果。结果:细胞学异常的患者中,年轻患者(<35岁)占30.6%,宫颈细胞学诊断的一致性不够理想(k=0.39);ASC、LSIL和HSIL对于C INⅡ及以上病变的阳性预测值分别为40.1%、36.2%和72.0%,宫颈细胞学阴性预测值为98.9%。结论:应重视年轻女性的宫颈细胞学筛查,包括ASC在内的异常细胞学均应行阴道镜检查和组织学诊断。     

早期预测食物过敏高风险儿童方法探讨

目的探讨联合多种危险因素获得的过敏风险评分预测食物过敏高风险儿童的价值。方法采用问卷调查方式获得≤3岁婴幼儿的过敏危险因素信息,以多元logistic逐步回归分析婴幼儿食物过敏危险因素,计算各危险因素对食物过敏的阳性预测值,依据回归方程计算过敏风险评分,通过ROC曲线评价过敏风险评分在筛查食物过敏高风险儿童中的价值。结果获得78例确诊为食物过敏及156例非过敏性疾病的≤3岁婴幼儿的回顾性调查信息。其中过敏性疾病家族史、剖宫产、孕期使用抗生素或解热镇痛药、孕期吸烟或接触吸烟环境、孕期接触杀虫剂或驱蚊剂、家中饲养宠物均是婴幼儿发生食物过敏的危险因素(P0.05)。过敏家族史预测食物过敏的阳性预测值为63.2%,ROC曲线下面积(AUC)为0.696(95%CI:0.620～0.771)。当联合多因素获得的过敏风险评分≥2.85时,其预测食物过敏的AUC为0.804(95%CI:0.746～0.863),灵敏度为0.526,特异度为0.910,尤登指数为0.436。结论多危险因素联合指标筛查食物过敏高风险儿童的预测价值高于过敏家族史。     

EGFR-directed therapies to treat non-small-cell lung cancer

Lung cancer is the leading cause of cancer death in men and women. In 2008, in the US > 200,000 patients were diagnosed with lung cancer and > 160,000 died from their disease. Over 80% of lung cancers are of the non-small cell type, for which chemotherapy has demonstrated modest survival benefits at all stages of disease. Agents that alter critical molecular cell growth pathways are a growing area of research and development including targeted therapies directed at the EGFR. Downstream effects of EGFR dimerization and activation include cell proliferation, differentiation and angiogenesis, key events in the malignant process. Two main classes of drugs have been developed, small molecule tyrosine kinase inhibitors (TKIs) and monoclonal antibodies directed against the extracellular domain of the receptor. This review discusses clinical studies with several new therapies and the plans for drug development.     

Aiding risk information learning through simulated experience (ARISE): Using simulated outcomes to improve understanding of conditional probabilities in prenatal Down syndrome screening

ObjectiveTo determine whether the use of visually-presented simulated experiences to communicate statistical information can improve an individual’s understanding of conditional probabilities—specifically the positive predictive value (PPV) of prenatal screening tests for Down syndrome.MethodsIn Experiment 1 (N = 64) and Experiment 2 (N = 180) participants were asked to estimate the PPV of a prenatal screening test for Down syndrome based on either (1) explicit statistics regarding the prevalence of Down syndrome and the sensitivity and specificity of a prenatal screening test for Down syndrome, or (2) experiencing up to 5000 simulated test results over a short time.ResultsParticipants’ estimates of the PPV were more accurate when they had learned via simulated experiences (79% accuracy) compared with estimates based on explicitly described statistics (14%). Participants in the simulated experience condition also reported decreased interest in screening and decreased concern with a positive test result.ConclusionA visual paradigm presenting simulated experiences improves PPV estimates, compared to estimates derived from explicitly provided statistics, while also shifting attitudes away from screening.Practice implicationsThe use of simulated experiences may prove to be simple but powerful tool to communicate complex statistical information to patients in medical decision making situations.     

预见性护理干预在不稳定心绞痛中的应用效果

目的研究预见性护理干预在不稳定心绞痛的应用效果。方法选取本院2016年6月—2019年12月收治的108例不稳定心绞痛患者,根据护理方式分成两组,对照组(n=54)应用常规护理干预,观察组(n=54)加强常规护理干预,实施预见性护理干预,比较两组护理方法的应用效果。结果观察组患者总有效率(98.15%)临床疗效与对照组(79.63%)比较差异有统计学意义(P<0.05)。两组患者护理后心绞痛稳定状态、疾病认知度、心绞痛发作情况、躯体活动受限程度评分比较,差异有统计学意义(P<0.05)。观察组患者护理后心绞痛稳定状态、疾病认知度、心绞痛发作情况、躯体活动受限程度评分与对照组比较差异有统计学意义(P<0.05)。观察组患者对护理满意度(100%)与对照组(85.19%)比较差异有统计学意义(P<0.05)。结论预见性护理干预是不稳定心绞痛的一种优秀护理方法,具有较高临床价值。     

Peroperative scoring systems for predicting the outcome of cytoreductive surgery in advanced-stage ovarian cancer – A systematic review

The extent of peritoneal metastases (PM) largely determines the possibility of complete or optimal cytoreductive surgery in advanced ovarian cancer. An objective scoring system to quantify the extent of PM can help clinicians to decide whether or not to embark on CRS. Therefore several scoring systems have been developed by different research teams and this review summarizes their performance in predicting a complete or optimal cytoreduction in patients with advanced ovarian cancer. A systematic search in the MEDLINE database revealed 19 articles that described a total of five main scoring systems to predict the completeness of CRS in patients with FIGO stage III-IV ovarian cancer based on the surgical exploration of the abdominal cavity; PCI, PIV, Eisenkop, Espada, and Kasper. The Peritoneal Cancer Index (PCI) and the Predictive Index Value (PIV) were mentioned most frequently and showed AUCs of 0.69–0.92 and 0.66–0.98, respectively. Due to the use of different cut-offs sensitivities and specificities greatly varied. Therefore with the current data, no scoring system could be identified as best. An objective measure of the extent of disease can be of great clinical use for identifying ovarian cancer patients for which a complete (or optimal) CRS is achievable, however due to local differences in treatment strategies and surgical policy a widely adopted objective scoring system with a standard cut-off value is not feasible. Nevertheless, objective scoring systems can play an important role to guide treatment decisions.     

Should sleep laboratories have their own predictive formulas for continuous positive airway pressure for patients with obstructive sleep apnea syndrome?

BackgroundSeveral formulas predicting optimal continuous positive airway pressure (CPAP) for obstructive sleep apnea treatment have been developed and diverse parameters selected as predictive factors in different sleep laboratories using different ethnic groups. This study aimed to validate a constructed predictive formula for the study laboratory and to test the hypothesis that sleep laboratories should have their own predictive formulas.MethodsFifty-seven adult subjects with obstructive sleep apnea syndrome (OSAS) were enrolled in the model-building set and underwent two polysomnography (PSG) studies to diagnose OSAS and titrate for optimal CPAP. A predictive formula, derived from anthropometric and polysomnographic variables, was validated together with two other predictive formulas in 30 subjects by comparing the mean predictive CPAP values, rates of successful prediction, and agreements.ResultsRegression analysis showed that apnea–hypopnea index (AHI), SaO_2nadir (nadir of arterial oxyhemoglobin saturation by pulse oximetry), and body mass index (BMI) strongly correlated with optimal CPAP. The derived predictive formula for the study laboratory was: CPAPpred (predictive CPAP) = 6.380 + 0.033 × AHI – 0.068 × SaO_2nadir + 0.171 × BMI (R² = 0.335, adjusted R² = 0.298). In Taiwan, different predictive formulas used by different sleep laboratories with different independent predictors led to similar mean predictive CPAP values to the mean observed optimal CPAP values, rates of successful prediction, and agreements with the observed optimal CPAP. There were significant differences between the mean predictive CPAP values and mean observed optimal CPAP values, lower rates of successful prediction, and negatively skewed 95% confidence interval (CI) when using a predictive formula derived from different ethnic populations.ConclusionA sleep laboratory may not need to have its own predictive formula for determining the optimal effective CPAP but should adopt the one derived from the same ethnicity of OSAS patients as the reference formula.