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      Incidence of haematological malignancy by sub-type: a report from the Haematological Malignancy Research Network

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          Abstract

          Background:

          Ascertainment of cases and disease classification is an acknowledged problem for epidemiological research into haematological malignancies.

          Methods:

          The Haematological Malignancy Research Network comprises an ongoing population-based patient cohort. All diagnoses (paediatric and adult) across two UK Cancer Networks (population 3.6 million, >2000 diagnoses annually, socio-demographically representative of the UK) are made by an integrated haematopathology laboratory. Diagnostics, prognostics, and treatment are recorded to clinical trial standards, and socio-demographic measures are routinely obtained.

          Results:

          A total of 10 729 haematological malignancies (myeloid=2706, lymphoid=8023) were diagnosed over the 5 years, that is, from 2004 to 2009. Descriptive data (age, sex, and deprivation), sex-specific age-standardised (European population) rates, and estimated UK frequencies are presented for 24 sub-types. The age of patients ranged from 4 weeks to 99 years (median 70.6 years), and the male rate was more than double the female rate for several myeloid and lymphoid sub-types, this difference being evident in both children and adults. No relationship with deprivation was detected.

          Conclusion:

          Accurate population-based data on haematological malignancies can be collected to the standard required to deliver reproducible results that can be extrapolated to national populations. Our analyses emphasise the importance of gender and age as disease determinants, and suggest that aetiological investigations that focus on socio-economic factors are unlikely to be rewarding.

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          Most cited references11

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          The X-files in immunity: sex-based differences predispose immune responses

          Sex-based differences in immune responses can influence the susceptibility to autoimmune and infectious diseases and the efficacy of therapeutic drugs. In this Perspective, Eleanor Fish discusses factors, such as X-linked genes, hormones and societal context, that underlie disparate immune responses in men and women.
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            A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group.

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              Delays in the diagnosis of six cancers: analysis of data from the National Survey of NHS Patients: Cancer

              The aim of this paper is to describe and compare components of diagnostic delay (patient, primary care, referral, secondary care) for six cancers (breast, colorectal, lung, ovarian, prostate and non-Hodgkin's lymphoma), and to compare delays in patients who saw their GP prior to diagnosis with those who did not. Secondary data analysis of The National Survey of NHS Patients: Cancer was undertaken (65 192 patients). Breast cancer patients experienced the shortest total delays (mean 55.2 days), followed by lung (88.5), ovarian (90.3), non-Hodgkin's lymphoma (102.8), colorectal (125.7) and prostate (148.5). Trends were similar for all components of delay. Compared with patient and primary care delays, referral delays and secondary care delays were much shorter. Patients who saw their GP prior to diagnosis experienced considerably longer total diagnostic delays than those who did not. There were significant differences in all components of delay between the six cancers. Reducing diagnostic delays with the intention of increasing the proportion of early stage cancers may improve cancer survival in the UK, which is poorer than most other European countries. Interventions aimed at reducing patient and primary care delays need to be developed and their effect on diagnostic stage and psychological distress evaluated.
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                Author and article information

                Journal
                Br J Cancer
                British Journal of Cancer
                Nature Publishing Group
                0007-0920
                1532-1827
                22 November 2011
                01 November 2011
                : 105
                : 11
                : 1684-1692
                Affiliations
                [1 ]Epidemiology and Genetics Unit, Department of Health Sciences, University of York , York, UK
                [2 ]Queens Centre for Oncology and Haematology, Castle Hill Hospital , Hull, UK
                [3 ]Haematological Malignancy Diagnostic Service, St James's Institute of Oncology, Bexley Wing, St James's University Hospital , Leeds, UK
                [4 ]Hull York Medical School , Heslington, York, UK
                Author notes
                Article
                bjc2011450
                10.1038/bjc.2011.450
                3242607
                22045184
                0a7411d2-e04d-4d63-98ec-fe5ac56a4a56
                Copyright © 2011 Cancer Research UK
                History
                : 20 June 2011
                : 26 September 2011
                : 27 September 2011
                Categories
                Clinical Study

                Oncology & Radiotherapy
                incidence,lymphoma,leukaemia,descriptive epidemiology,socio-economic status,myeloma

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