【摘要】 目的 了解肿瘤复发患者希望水平及其影响因素。 方法 2010年10-12月采用Herth希望量表和自制的一般情况调查表,对302例肿瘤复发患者进行问卷调查,并对相关影响因素进行分析。 结果 肿瘤复发患者希望总体均分为（31.14±5.56）分,7.95%（24例）的患者希望评分为低等水平,74.50%（225例）的患者希望评分为中等水平,17.55%（53例）的患者希望评分为高等水平。肿瘤复发患者希望水平得分的主要影响因素有:婚姻状况、工作状况、医疗费用支付情况、肿瘤类型以及无瘤生存时间。其中,与未婚患者相比,离异患者希望水平较低；与在职患者相比,退休患者希望水平较高；在医疗费用的支付方式上,自费所占的比例越大,患者希望水平越低；与其他肿瘤类型相比,以乳腺癌患者希望水平最低；此外,患者无瘤生存时间越长,其希望水平就越低。 结论 尽管肿瘤复发患者希望水平受多种因素的影响,但多数患者仍对现状和未来充满希望,其希望仍维持在较高水平。【Abstract】 Objective To explore the level of hope and the influential factors of hope in patient with tumor recurrence. Methods A total of 302 patients with tumor recurrence were enrolled. The patients were investigated by Herth Hope Scale and self-designed questionnaire. Results The average level of hope in patients with tumor recurrence was 31.14±5.56; of the total patients，7.95% (24 patients) had low level, 74.50% (225 patients) had media level and 17.55% (53 patients) had high level of hope. Parts of demographic characteristics had significant influences on level of hope and specifically: patient devoiced had lower level of hope than patients married (F=-1.868，Plt;0.05); patients retired had higher level of hope than patients on job (F=2.004，Plt;0.005); patients with greater own proportion of medical expense had lower level of hope than patients with smaller own proportion of medical expense (F=-0.937，Plt;0.05); patients with breast cancer had lower level of hope than patients with other type of cancer (F=-10.824，Plt;0.001); and finally, patients with longer free survival time had lower level of hope than patients with shorter free survival time (F=-1.930，Plt;0.001). Conclusion Parts of demographic characteristics have significant influences on level of hope in patients with tumor recurrence, but most patients still have high level of hope.
It is a challenge for clinicians and diagnostic systematic reviewers to determine the best test in clinical diagnosis and screening. Meanwhile, it also becomes the new chance and challenge for diagnostic test meta-analysis. Network meta-analysis has been commonly used in intervention systematic reviews, which can compare the effect size of all available interventions and to choose the best intervention. Network meta-analysis of diagnostic test can be defined as comparing all available diagnostic technologies in the same conditions based on the common reference tests. In order to provide the guide for diagnostic systematic reviewers, we aims to introduce four methods of conducting diagnostic test accuracy network meta-analysis, and to explore two ranking methods of network meta-analysis of diagnostic test accuracy.