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Research

Hodgkin lymphoma detection and survival: findings from the Haematological Malignancy Research Network

Maxine JE Lamb, Eve Roman, Debra A Howell, Eleanor Kane, Timothy Bagguley, Cathy Burton, Russell Patmore and Alexandra G Smith
BJGP Open 2019; 3 (4): bjgpopen19X101668. DOI: https://doi.org/10.3399/bjgpopen19X101668
Maxine JE Lamb
1 Research Fellow, Epidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK
PhD
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  • ORCID record for Maxine JE Lamb
  • For correspondence: maxine.lamb{at}york.ac.uk
Eve Roman
2 Professor, Epidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK
PhD
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Debra A Howell
3 Senior Research Fellow, Epidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK
PhD
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  • ORCID record for Debra A Howell
Eleanor Kane
4 Research Fellow, Epidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK
PhD
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Timothy Bagguley
5 Data Analyst, Epidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK
MSc
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Cathy Burton
6 Consultant Haematologist, Haematological Malignancy Diagnostic Service, St James’s University Hospital, Leeds, UK
FRCPath, MRCP
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Russell Patmore
7 Consultant Haematologist, Queen’s Centre for Oncology and Haematology, Hull and East Yorkshire Hospitals, Cottingham, UK
FRCPath, MRCP
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Alexandra G Smith
8 Reader, Epidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK
PhD
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Article Figures & Data

Figures

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    Figure 1. Patients with classical Hodgkin lymphoma distributed by demographic and clinical prognostic characteristics, with ORs (95% CIs) for diagnosis following emergency admission presented for all patients and those treated with curative intent (data from HMRN diagnoses 2004–2015). IPS = International Prognostic Score
  • Figure 2.
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    Figure 2. Classical Hodgkin lymphoma overall survival (OS) and relative survival (RS) curves for all patients (A) and those treated with curative intent (B), stratified by emergency admission status and age (data from Haematological Malignancy Research Network diagnoses 2004–2015)
  • Figure 3.
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    Figure 3. Classical Hodgkin lymphoma survival curves for all patients (A) and those treated with curative intent (B). Overall survival in non-emergency versus emergency admission with 95% CIs (A1, B1) and non-emergency versus emergency adjusted for prognostic factors (A2, B2).a (data from HMRN diagnoses 2004–2015)

    aSurvival adjusted for age, performance status (ECOG), B symptoms (yes/no), disease stage, specific components of IPS (albumin, haemoglobin, and lymphocyte count), and treatment with curative intent (yes/no) (A2 only). Survival curves are weighted so that the patient mix with respect to ECOG status, B symptoms, disease stage, and specific components of IPS among those presenting as an emergency is similar to those who presented via other routes.

    ECOG = Eastern Oncology Cooperative Group. IPS = International Prognostic Score

Supplementary Data

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  • bjgpopen19X101668_Supp.pdf
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December 2019
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Hodgkin lymphoma detection and survival: findings from the Haematological Malignancy Research Network
Maxine JE Lamb, Eve Roman, Debra A Howell, Eleanor Kane, Timothy Bagguley, Cathy Burton, Russell Patmore, Alexandra G Smith
BJGP Open 2019; 3 (4): bjgpopen19X101668. DOI: 10.3399/bjgpopen19X101668

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Hodgkin lymphoma detection and survival: findings from the Haematological Malignancy Research Network
Maxine JE Lamb, Eve Roman, Debra A Howell, Eleanor Kane, Timothy Bagguley, Cathy Burton, Russell Patmore, Alexandra G Smith
BJGP Open 2019; 3 (4): bjgpopen19X101668. DOI: 10.3399/bjgpopen19X101668
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Keywords

  • cancer staging
  • data collection
  • delayed diagnosis
  • Prognosis
  • real-world data
  • routes to diagnosis

More in this TOC Section

  • Exploring psychotropic medication use in Dutch primary care: trends, prevalence, and associations with polypsychopharmacy
  • Professionals’ views and experiences of the TrainDEEP (TRaining Assistance INitiative in DEep End Practices) pilot: transforming GP practices into training practices in disadvantaged areas in the North East of England
  • The work of the consultation in general practice: a comparison of affluent and deprived areas of Scotland using a novel consultation workload index
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