Literature DB >> 14744745

Expert review of non-Hodgkin's lymphomas in a population-based cancer registry: reliability of diagnosis and subtype classifications.

Christina A Clarke1, Sally L Glaser, Ronald F Dorfman, Paige M Bracci, Erin Eberle, Elizabeth A Holly.   

Abstract

Incidence rates of non-Hodgkin's lymphomas (NHLs) have nearly doubled in recent decades. Understanding the reasons behind these trends will require detailed surveillance and epidemiological study of NHL subtypes in large populations, using cancer registry or other multicenter data. However, little is known regarding the reliability of NHL diagnosis and subtype classification in such data, despite implications for the accuracy of incidence statistics and studies. Expert pathological re-review was completed for 1526 NHL patients who were reported to the Greater Bay Area Cancer Registry and who participated in a large population-based case-control study. Agreement of registry diagnosis with expert diagnosis and with International Classification of Diseases for Oncology-2 (Working Formulation) subtype classifications was measured with positive predictive values and kappa statistics. Agreement of registry and expert diagnoses was high (98%). Thirty patients were found on review not to have NHL; most of these had leukemia. For subtypes, agreement of registry and expert classification was more moderate (59%). Agreement varied substantially by subtype from 5% to 100% and was 77% for the most common subtype, diffuse large cell lymphoma. Seventy-seven percent of 128 registry-unclassified lymphomas were assigned a subtype on re-review. Our analyses suggest excellent diagnostic reliability but poorer subtype reliability of NHL in cancer registry data information that is critical to the interpretation of lymphoma time trends. Thus, overall NHL incidence and survival statistics from the early 1990s are probably accurate, but subtype-specific statistics could be substantially biased, especially because of high (15-20%) proportions of unclassified lymphomas.

Entities:  

Mesh:

Year:  2004        PMID: 14744745     DOI: 10.1158/1055-9965.epi-03-0250

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


  29 in total

1.  Contributions of Subtypes of Non-Hodgkin Lymphoma to Mortality Trends.

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.  Exposure to non-arsenic pesticides is associated with lymphoma among farmers in Spain.

Authors:  E van Balen; R Font; N Cavallé; L Font; M Garcia-Villanueva; Y Benavente; P Brennan; S de Sanjose
Journal:  Occup Environ Med       Date:  2006-06-06       Impact factor: 4.402

4.  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

5.  Exposure to UV radiation and risk of Hodgkin lymphoma: a pooled analysis.

Authors:  Alain Monnereau; Sally L Glaser; Clayton W Schupp; Karin Ekström Smedby; Silvia de Sanjosé; Eleanor Kane; Mads Melbye; Lenka Forétova; Marc Maynadié; Anthony Staines; Nikolaus Becker; Alexandra Nieters; Paul Brennan; Paolo Boffetta; Pierluigi Cocco; Ingrid Glimelius; Jacqueline Clavel; Henrik Hjalgrim; Ellen T Chang
Journal:  Blood       Date:  2013-09-09       Impact factor: 22.113

6.  Adulthood residential ultraviolet radiation, sun sensitivity, dietary vitamin D, and risk of lymphoid malignancies in the California Teachers Study.

Authors:  Ellen T Chang; Alison J Canchola; Myles Cockburn; Yani Lu; Sophia S Wang; Leslie Bernstein; Christina A Clarke; Pamela L Horn-Ross
Journal:  Blood       Date:  2011-05-26       Impact factor: 22.113

7.  Automatic lymphoma classification with sentence subgraph mining from pathology reports.

Authors:  Yuan Luo; Aliyah R Sohani; Ephraim P Hochberg; Peter Szolovits
Journal:  J Am Med Inform Assoc       Date:  2014-01-15       Impact factor: 4.497

8.  Prediagnostic transcriptomic markers of Chronic lymphocytic leukemia reveal perturbations 10 years before diagnosis.

Authors:  M Chadeau-Hyam; R C H Vermeulen; D G A J Hebels; R Castagné; G Campanella; L Portengen; R S Kelly; I A Bergdahl; B Melin; G Hallmans; D Palli; V Krogh; R Tumino; C Sacerdote; S Panico; T M C M de Kok; M T Smith; J C S Kleinjans; P Vineis; S A Kyrtopoulos
Journal:  Ann Oncol       Date:  2014-02-20       Impact factor: 32.976

9.  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

10.  Comparative outcomes of oncologic therapy in gastric extranodal marginal zone (MALT) lymphoma: analysis of the SEER-Medicare database.

Authors:  A J Olszewski; J J Castillo
Journal:  Ann Oncol       Date:  2013-01-24       Impact factor: 32.976

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.