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991.
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Mortality and cost of radiation therapy for oesophageal cancer according to hospital accreditation level: a nationwide population‐based study
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S.‐H. Liu PhD J.‐N. Wu PhD J.‐D. Day PhD C.‐H. Muo MSc F.‐C. Sung PhD C.‐H Kao MD J.‐A. Liang MD 《European journal of cancer care》2015,24(3):333-339
This study examined and analysed the relationship between the cost‐effectiveness and outcome of radiotherapy for oesophageal cancer among hospitals with varying accreditation levels. We selected 428 oesophageal cancer patients from medical and non‐medical centres using the National Health Insurance Research Database, which is maintained by the Taiwanese National Health Research Institutes, and compared their medical expenditure and the outcome of their radiotherapy treatment. In this study cohort of patients with oesophageal cancer, 278 patients were treated in medical centres (mean age: 60.1 years) and 150 patients were treated in non‐medical centres (mean age: 62.0 years, P = 0.16). The medical centre group exhibited significantly lower medical expenses, mortality and risk of death compared with the non‐medical centre group (adjusted hazard ratio = 1.38, 95% confidence interval = 1.11–1.71). Our study determined that radiotherapy for oesophageal cancer costs significantly less, and medical centres had lower mortality rates than non‐medical centres. These findings could provide professional organisations and healthcare policy makers with essential information for allocation of resources. 相似文献
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Timely follow‐up of positive cancer screening results: A systematic review and recommendations from the PROSPR Consortium
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Chyke A. Doubeni MD MPH Nicole B. Gabler PhD MPH MHA Cosette M. Wheeler PhD Anne Marie McCarthy PhD Philip E. Castle PhD MPH Ethan A. Halm MD MPH Mitchell D. Schnall MD PhD Celette S. Skinner PhD Anna N. A. Tosteson ScD Donald L. Weaver MD Anil Vachani MD Shivan J. Mehta MD MBA Katharine A. Rendle PhD MSW MPH Stacey A. Fedewa PhD Douglas A. Corley MD PhD Katrina Armstrong MD 《CA: a cancer journal for clinicians》2018,68(3):199-216
Timely follow‐up for positive cancer screening results remains suboptimal, and the evidence base to inform decisions on optimizing the timeliness of diagnostic testing is unclear. This systematic review evaluated published studies regarding time to follow‐up after a positive screening for breast, cervical, colorectal, and lung cancers. The quality of available evidence was very low or low across cancers, with potential attenuated or reversed associations from confounding by indication in most studies. Overall, evidence suggested that the risk for poorer cancer outcomes rises with longer wait times that vary within and across cancer types, which supports performing diagnostic testing as soon as feasible after the positive result, but evidence for specific time targets is limited. Within these limitations, we provide our opinion on cancer‐specific recommendations for times to follow‐up and how existing guidelines relate to the current evidence. Thresholds set should consider patient worry, potential for loss to follow‐up with prolonged wait times, and available resources. Research is needed to better guide the timeliness of diagnostic follow‐up, including considerations for patient preferences and existing barriers, while addressing methodological weaknesses. Research is also needed to identify effective interventions for reducing wait times for diagnostic testing, particularly in underserved or low‐resource settings. CA Cancer J Clin 2018;68:199–216 . © 2018 American Cancer Society . 相似文献
994.
Mouse models in oncogenesis and cancer therapy 总被引:3,自引:0,他引:3
María Virtudes Céspedes Isolda Casanova Matilde Parreño Ramón Mangues PhD 《Clinical & translational oncology》2006,8(5):318-329
Animal models have been critical in the study of the molecular mechanisms of cancer and in the development of new antitumor
agents; nevertheless, there is still much room for improvement. The relevance of each particular model depends on how close
it replicates the histology, physiological effects, biochemical pathways and metastatic pattern observed in the same human
tumor type. Metastases are especially important because they are the main determinants of the clinical course of the disease
and patient survival, and are the target of systemic therapy. The generation of clinically relevant models using the mouse
requires their humanization, since differences exist in transformation and oncogenesis between human and mouse. Although genetically
modified (GM) mice have been instrumental in understanding the molecular mechanisms involved in tumor initiation, they have
been less successful in replicating advanced cancer. Moreover, a particular genetic alteration frequently leads to different
tumor types in human and mouse and to lower metastastatic rates in GM mice than in humans. These findings question the capacity
of current GM mouse carcinoma models to predict clinical response to therapy. On the other hand, orthotopic (ORT) xenografts
of human tumors, or tumor cell lines, in nude mice reproduced the histology and metastatic pattern of most human tumors at
advanced stage. Usingex vivo genetic manipulation of human tumor cells, ORT models can be used to molecularly dissect the metastatic process and to evaluatein vivo tumor response to therapy, using non-invasive procedures. Nevertheless, this approach is not useful in the study of the initial
stages of tumorigenesis or the contribution of the immune system in this process. Despite ORT models are more promising than
the most commonly used subcutaneous xenografts in preclinical drug development, their capacity to predict clinical response
to antitumor agents remains to be studied. Humanizing mouse models of cancer will most likely require the combined use of
currently available methodologies.
Supported by an unrestricted educational grant from AstraZeneca. 相似文献
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