Literature DB >> 16614102

Changes in cancer registry coding for lymphoma subtypes: reliability over time and relevance for surveillance and study.

Christina A Clarke1, Dawn M Undurraga, Patricia J Harasty, Sally L Glaser, Lindsay M Morton, Elizabeth A Holly.   

Abstract

Because lymphoma comprises numerous histologic subtypes, understanding the reasons for ongoing increases in its incidence requires surveillance and etiologic study of these subtypes. However, this research has been hindered by many coexisting classification schemes. The Revised European American classification of Lymphoid Neoplasms (REAL)/WHO system developed in 1994 and now used in clinical settings was not incorporated into the International Classification of Diseases-Oncology (ICD-O), used by cancer registries, until the release of the third edition (ICD-O-3) in 2001. Studies including patients diagnosed before 2001 may have codes from earlier ICD-O versions that must be converted to ICD-O-3 and have higher proportions of unclassified (e.g., lymphoma and not otherwise specified) cases. To better understand (a) the agreement of computer-converted ICD-O-3 codes to ICD-O-3 codes generated directly from diagnostic pathology reports and (b) the reproducibility of unclassified status, we reviewed a population-based series of diagnostic pathology reports for lymphoma patients diagnosed before (1988-1994; n = 1,493) and after (1998-2000; n = 1,527) the REAL/WHO scheme was introduced. Overall, computer- and coder-assigned ICD-O-3 codes agreed for 77% of patients in both groups and improved slightly (82%) when codes were grouped. The most common lymphoma subtypes, diffuse large B cell and follicular, had relatively good reliability (84-89%) throughout the study period. T-cell and natural killer cell lymphomas had worse agreement than B-cell lymphomas, even when grouped. Many (42-43%) lymphomas reported as unclassifiable could be assigned a subtype upon pathology report review. These findings suggest that the study of lymphoma subtypes could be improved by (a) use of more standardized terminology in pathology reports, (b) grouping individual ICD-O-3 codes to reduce misclassification bias, and (c) routine secondary editing of unclassified lymphomas by central cancer registries.

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Year:  2006        PMID: 16614102     DOI: 10.1158/1055-9965.EPI-05-0549

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  32 in total

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Authors:  Nadia Howlader; Lindsay M Morton; Eric J Feuer; Caroline Besson; Eric A Engels
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-10-15       Impact factor: 4.254

2.  Lymphoma incidence patterns by WHO subtype in the United States, 1992-2001.

Authors:  Lindsay M Morton; Sophia S Wang; Susan S Devesa; Patricia Hartge; Dennis D Weisenburger; Martha S Linet
Journal:  Blood       Date:  2005-09-08       Impact factor: 22.113

3.  Gene-nutrient interactions among determinants of folate and one-carbon metabolism on the risk of non-Hodgkin lymphoma: NCI-SEER case-control study.

Authors:  Unhee Lim; Sophia S Wang; Patricia Hartge; Wendy Cozen; Linda E Kelemen; Stephen Chanock; Scott Davis; Aaron Blair; Maryjean Schenk; Nathaniel Rothman; Qing Lan
Journal:  Blood       Date:  2007-04-01       Impact factor: 22.113

4.  Prognostic significance of host immune gene polymorphisms in follicular lymphoma survival.

Authors:  James R Cerhan; Sophia Wang; Matthew J Maurer; Stephen M Ansell; Susan M Geyer; Wendy Cozen; Lindsay M Morton; Scott Davis; Richard K Severson; Nathaniel Rothman; Charles F Lynch; Sholom Wacholder; Stephen J Chanock; Thomas M Habermann; Patricia Hartge
Journal:  Blood       Date:  2007-02-27       Impact factor: 22.113

5.  Lymphoid malignancies in U.S. Asians: incidence rate differences by birthplace and acculturation.

Authors:  Christina A Clarke; Sally L Glaser; Scarlett L Gomez; Sophia S Wang; Theresa H Keegan; Juan Yang; Ellen T Chang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-04-14       Impact factor: 4.254

6.  Racial differences in three major NHL subtypes: descriptive epidemiology.

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Journal:  Cancer Epidemiol       Date:  2015-01-02       Impact factor: 2.984

7.  Examining racial differences in diffuse large B-cell lymphoma presentation and survival.

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Journal:  Leuk Lymphoma       Date:  2013-02

8.  Improved survival for non-Hodgkin lymphoma patients in New South Wales, Australia.

Authors:  Xue Q Yu; Wendy H Chen; Dianne L O'Connell
Journal:  BMC Cancer       Date:  2010-05-24       Impact factor: 4.430

9.  Age-period-cohort modelling of non-Hodgkin's lymphoma incidence in a French region: a period effect compatible with an environmental exposure.

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Journal:  Environ Health       Date:  2010-08-08       Impact factor: 5.984

10.  Incidence of first primary central nervous system tumors in California, 2001-2005.

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Journal:  J Neurooncol       Date:  2009-04-02       Impact factor: 4.130

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