Suppr超能文献

基于人群的癌症登记中骨髓增生异常综合征特定亚组的编码:改进前景。

Coding of specific subgroups of myelodysplastic syndromes in a population-based cancer registry: prospects for improvement.

作者信息

Polednak Anthony P, Phillips Cathryn

出版信息

J Registry Manag. 2012 Fall;39(3):107-14.

Abstract

Myelodysplastic syndromes (MDS), reportable to US cancer registries for diagnoses since 2001, are a group of myeloid neoplasms heterogeneous in prognosis and treatment, and of growing importance in an aging population. In US registries that have reported incident MDS cases by subgroup, about 50%-67% of cases have been coded as MDS "not otherwise specified" (NOS) in the International Classification of Diseases for Oncology Version 3 (ICD-O-3). For this study, MDS cases diagnosed in 2001-2009 and reported to the population-based Connecticut Tumor Registry (CTR) were analyzed. MDS was coded as NOS for 573 (56.7%) of 1,011 cases, but the proportion varied among reporting facilities hospitals (ie, from 0 to 100%), with several statistical outliers. In pathology reports obtained for 130 CTR patients diagnosed with MDS in 2008-2009, 84% of the 62 patients coded as NOS had information on a key element (ie, % of blasts in bone marrow) in ICD-O-3 coding and other classifications of MDS subgroups. These findings suggest that central cancer registries may want to work with hospital tumor registrars in improving reporting of specific MDS subgroups using ICD-O-3. The addition of % blasts from pathology reports to the site-specific factors for MDS in the Collaborative Staging System could be proposed.

摘要

骨髓增生异常综合征(MDS)自2001年起在美国癌症登记处进行诊断报告,是一组预后和治疗各异的髓系肿瘤,在老龄化人口中的重要性日益增加。在美国按亚组报告MDS病例的登记处,约50%-67%的病例在《国际肿瘤疾病分类第3版》(ICD-O-3)中被编码为MDS“未另行说明”(NOS)。在本研究中,分析了2001年至2009年诊断并报告给以人群为基础的康涅狄格肿瘤登记处(CTR)的MDS病例。在1011例病例中,573例(56.7%)的MDS被编码为NOS,但报告机构(即医院)之间的比例有所不同(从0到100%),有几个统计异常值。在2008年至2009年诊断为MDS的130例CTR患者的病理报告中,62例被编码为NOS的患者中有84%在ICD-O-3编码和MDS亚组的其他分类中有关于一个关键要素(即骨髓中原始细胞百分比)的信息。这些发现表明,中央癌症登记处可能希望与医院肿瘤登记员合作,利用ICD-O-3改进特定MDS亚组的报告。可以提议将病理报告中的原始细胞百分比添加到协作分期系统中MDS的部位特异性因素中。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验