宫腔镜检查在诊断子宫内膜息肉中的价值分析

通过比较超声、宫腔镜检查与病理诊断子宫内膜息肉的结果,以及超声诊断结果阴性的病例中,宫腔镜与病理诊断的差异检出率,探讨宫腔镜检查对正确诊断子宫内膜息肉的重要性.回顾性收集连续在我院妇科行宫腔镜检查且证实子宫内膜息肉诊断的住院患者共730例.总结各病例超声诊断、宫腔镜检查及病理诊断的结果.统计分析显示,三者诊断子宫内膜息肉的检出率分别为82.7％、93.4％、90.8％.其中,由超声检查漏诊的子宫内膜息肉患者共126例,宫腔镜及病理检出率分别为96.8％、88.1％,且两者的阴性结果互不重叠,这种诊断差异在超声诊断结果示内膜增厚/内膜厚薄不均病例中尤为显著.因此,子宫内膜息肉的诊断方式中,宫腔镜诊断检出率最高,但仍有漏诊的病例由病理确诊,研究认为宫腔镜检查是确诊子宫内膜息肉的重要诊断方法.     

培养临床医学专业学位研究生系统思维能力的途径和方法

系统思维是20世纪中期以后发展起来的一种新型思维,它与传统还原论思维根本不同,强调立足于事物整体来认识和处理问题,注重揭示事物内部机制以及环境对整体的作用和影响。我国临床医学专业学位研究生的培养应该纳入这种现代思维方式,使其善于应用系统思维来指导诊断和治疗,并应用在医学科研中。这不仅有利于提高其服务广大患者的能力,而且有利于提高其临床医学科研能力,从而提高临床研究生的整体素质。     

临床共情与护理技术结合：人性化的护理

临床共情是一种能体验患者内心世界的能力,通过患者的言语和非言语表达,觉察和认识患者情感和情绪需求,并对其做出恰当的回应.临床共情具有科学的理论和实践基础,具有缓解患者心理上的痛苦,改善护患关系,促进患者康复等作用.在当今复杂的医疗环境下,务必要重视共情培养,适时运用临床共情.然而,我们强调临床共情的重要作用,并不能忽视护理技术的根本作用,根除躯体上的病变仍有赖于护理技术的有效性.在临床护理实践中,坚持共情与护理技术的有机结合,推进人性化的护理构建.     

一种非参数化的Q矩阵估计方法：ICC-IR方法开发

摘要：相对于参数化的方法,本研究根据题目测量模式关系开发出ICC指标,并提出基于理想得分的ICC指标法进行Q矩阵估计。Monte Carlo模拟研究与实证研究发现（1）基于理想得分ICC指标法估计Q矩阵具有很好的效果,当属性个数越少、基础题个数越多,估计效果越好。（2）相对于以往方法——D2统计量的方法,ICC-IR法效果更好,并且是一种非参数化的方法,计算简单快捷。（3）实证数据分析表明,ICC-IR法估计的Q矩阵在模型拟合度上也优于D2统计量方法。     

Action‐semantic and syntactic deficits in subjects at risk for Huntington's disease

Frontostriatal networks play critical roles in grounding action semantics and syntactic skills. Indeed, their atrophy distinctively disrupts both domains, as observed in patients with Huntington's disease (HD) and Parkinson's disease, even during early disease stages. However, frontostriatal degeneration in these conditions may begin up to 15 years before the onset of clinical symptoms, opening avenues for pre‐clinical detection via sensitive tasks. Such a mission is particularly critical in HD, given that patients’ children have 50% chances of inheriting the disease. Against this background, we assessed whether deficits in the above‐mentioned domains emerge in subjects at risk to develop HD. We administered tasks tapping action semantics, object semantics, and two forms of syntactic processing to 18 patients with HD, 19 asymptomatic first‐degree relatives, and sociodemographically matched controls for each group. The patients evinced significant deficits in all tasks, but only those in the two target domains were independent of overall cognitive state. More crucially, relative to controls, the asymptomatic relatives were selectively impaired in action semantics and in the more complex syntactic task, with both patterns emerging irrespective of the subjects’ overall cognitive state. Our findings highlight the relevance of these dysfunctions as potential prodromal biomarkers of HD. Moreover, they offer theoretical insights into the differential contributions of frontostriatal hubs to both domains while paving the way for innovations in diagnostic procedures.     

Cognitive diagnosis modelling incorporating item response times

To provide more refined diagnostic feedback with collateral information in item response times (RTs), this study proposed joint modelling of attributes and response speed using item responses and RTs simultaneously for cognitive diagnosis. For illustration, an extended deterministic input, noisy ‘and’ gate (DINA) model was proposed for joint modelling of responses and RTs. Model parameter estimation was explored using the Bayesian Markov chain Monte Carlo (MCMC) method. The PISA 2012 computer-based mathematics data were analysed first. These real data estimates were treated as true values in a subsequent simulation study. A follow-up simulation study with ideal testing conditions was conducted as well to further evaluate model parameter recovery. The results indicated that model parameters could be well recovered using the MCMC approach. Further, incorporating RTs into the DINA model would improve attribute and profile correct classification rates and result in more accurate and precise estimation of the model parameters.     

Two-Stage maximum likelihood estimation in the misspecified restricted latent class model

The maximum likelihood classification rule is a standard method to classify examinee attribute profiles in cognitive diagnosis models (CDMs). Its asymptotic behaviour is well understood when the model is assumed to be correct, but has not been explored in the case of misspecified latent class models. This paper investigates the asymptotic behaviour of a two-stage maximum likelihood classifier under a misspecified CDM. The analysis is conducted in a general restricted latent class model framework addressing all types of CDMs. Sufficient conditions are proposed under which a consistent classification can be obtained by using a misspecified model. Discussions are also provided on the inconsistency of classification under certain model misspecification scenarios. Simulation studies and a real data application are conducted to illustrate these results. Our findings can provide some guidelines as to when a misspecified simple model or a general model can be used to provide a good classification result.     

Positive psychotherapy: A strength-based approach

Positive psychotherapy (PPT) is a therapeutic approach broadly based on the principles of positive psychology. Rooted in Chris Peterson’s groundbreaking work on character strengths, PPT integrates symptoms with strengths, resources with risks, weaknesses with values, and hopes with regrets in order to understand the inherent complexities of human experiences in a way that is more balanced than the traditional deficit-oriented approach to psychotherapy. This paper makes the case of an alternative approach to psychotherapy that pays equal attention and effort to negatives and positives. It discusses PPT’s assumptions and describes in detail how PPT exercises work in clinical settings. The paper summarizes results of pilot studies using this approach, discusses caveats in conducting PPT, and suggests potential directions.     

Expressions of vernacular psychoanalysis

The present paper examines the clinical integration of theory and experience from the perspective of clinicians’ subjective shaping of inquiry. The author suggests that the historical, conceptual development of clinical psychoanalysis parallels the progressive articulations of consensual understanding within the clinical hour. He suggests that the clinician's utilization of vernacular elements, derivative of direct experience as well as of reference to the wider range of psychoanalytic thinking, addresses gaps and disconnections within the abstract understanding of the clinical psychoanalytic process. Providing examples from psychoanalytic history, he concludes with a contemporary example of psychoanalytic papers, reflecting vernacular elements that are of use to practicing clinicians.