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The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research
The Haematological Malignancy Research Network (HMRN) was established in 2004 to provide robust generalizable data to inform clinical practice and research. It comprises an ongoing population-based cohort of patients newly diagnosed by a single integrated haematopathology laboratory in two adjacent...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066245/ https://www.ncbi.nlm.nih.gov/pubmed/19958356 http://dx.doi.org/10.1111/j.1365-2141.2009.08010.x |
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author | Smith, Alexandra Roman, Eve Howell, Debra Jones, Richard Patmore, Russell Jack, Andrew |
author_facet | Smith, Alexandra Roman, Eve Howell, Debra Jones, Richard Patmore, Russell Jack, Andrew |
author_sort | Smith, Alexandra |
collection | PubMed |
description | The Haematological Malignancy Research Network (HMRN) was established in 2004 to provide robust generalizable data to inform clinical practice and research. It comprises an ongoing population-based cohort of patients newly diagnosed by a single integrated haematopathology laboratory in two adjacent UK Cancer Networks (population 3·6 million). With an emphasis on primary-source data, prognostic factors, sequential treatment/response history, and socio-demographic details are recorded to clinical trial standards. Data on 8131 patients diagnosed over the 4 years 2004–08 are examined here using the latest World Health Organization classification. HMRN captures all diagnoses (adult and paediatric) and the diagnostic age ranged from 4 weeks to 99 years (median 70·4 years). In line with published estimates, first-line clinical trial entry varied widely by disease subtype and age, falling from 59·5% in those aged <15 years to 1·9% in those aged over 75 years – underscoring the need for contextual population-based treatment and response data of the type collected by HMRN. The critical importance of incorporating molecular and prognostic markers into comparative survival analyses is illustrated with reference to diffuse-large B-cell lymphoma, acute myeloid leukaemia and myeloma. With respect to aetiology, several descriptive factors are highlighted and discussed, including the unexplained male predominance evident for most subtypes across all ages. |
format | Text |
id | pubmed-3066245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-30662452011-04-02 The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research Smith, Alexandra Roman, Eve Howell, Debra Jones, Richard Patmore, Russell Jack, Andrew Br J Haematol Haematological Malignancy The Haematological Malignancy Research Network (HMRN) was established in 2004 to provide robust generalizable data to inform clinical practice and research. It comprises an ongoing population-based cohort of patients newly diagnosed by a single integrated haematopathology laboratory in two adjacent UK Cancer Networks (population 3·6 million). With an emphasis on primary-source data, prognostic factors, sequential treatment/response history, and socio-demographic details are recorded to clinical trial standards. Data on 8131 patients diagnosed over the 4 years 2004–08 are examined here using the latest World Health Organization classification. HMRN captures all diagnoses (adult and paediatric) and the diagnostic age ranged from 4 weeks to 99 years (median 70·4 years). In line with published estimates, first-line clinical trial entry varied widely by disease subtype and age, falling from 59·5% in those aged <15 years to 1·9% in those aged over 75 years – underscoring the need for contextual population-based treatment and response data of the type collected by HMRN. The critical importance of incorporating molecular and prognostic markers into comparative survival analyses is illustrated with reference to diffuse-large B-cell lymphoma, acute myeloid leukaemia and myeloma. With respect to aetiology, several descriptive factors are highlighted and discussed, including the unexplained male predominance evident for most subtypes across all ages. Blackwell Publishing Ltd 2010-03 2009-12-01 /pmc/articles/PMC3066245/ /pubmed/19958356 http://dx.doi.org/10.1111/j.1365-2141.2009.08010.x Text en © 2010 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Haematological Malignancy Smith, Alexandra Roman, Eve Howell, Debra Jones, Richard Patmore, Russell Jack, Andrew The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research |
title | The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research |
title_full | The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research |
title_fullStr | The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research |
title_full_unstemmed | The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research |
title_short | The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research |
title_sort | haematological malignancy research network (hmrn): a new information strategy for population based epidemiology and health service research |
topic | Haematological Malignancy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066245/ https://www.ncbi.nlm.nih.gov/pubmed/19958356 http://dx.doi.org/10.1111/j.1365-2141.2009.08010.x |
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