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Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom

Ioan Humphreys Orcid Logo, Alan Watkins Orcid Logo, Ashley Akbari Orcid Logo, Rowena Griffiths, Marie Gabe‐Walters, Melanie Thomas Orcid Logo, Cheryl Pike, Angela Williams, Thomas Dobbs, John Gibson, Iain Whitaker, Hayley Hutchings Orcid Logo

International Wound Journal, Volume: 22, Issue: 4, Start page: e70331

Swansea University Authors: Ioan Humphreys Orcid Logo, Alan Watkins Orcid Logo, Ashley Akbari Orcid Logo, Angela Williams, Thomas Dobbs, Iain Whitaker, Hayley Hutchings Orcid Logo

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DOI (Published version): 10.1111/iwj.70331

Abstract

This observational cohort study explored lymphoedema development following a cancer diagnosis and whether demographic factors impacted the time to lymphoedema development. We identified cases through the Secure Anonymised Information Linkage (SAIL) Databank. We used cancer diagnostic codes to identi...

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Published in: International Wound Journal
ISSN: 1742-4801 1742-481X
Published: Wiley 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69157
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We identified cases through the Secure Anonymised Information Linkage (SAIL) Databank. We used cancer diagnostic codes to identify a cohort of six broad cancer &#x2018;types&#x2019;. We independently used lymphoedema diagnostic codes to identify a cohort who developed lymphoedema. We linked these two cohorts to develop a single cohort of cases and describe the number of cases who went on to develop lymphoedema after a cancer diagnosis, and the time to lymphoedema diagnosis. We used Cox regression models to calculate hazard ratios and produced survival curves to explore whether pre-defined factors (gender, age, deprivation, cancer type) had any impact on time to lymphoedema development. We identified 7538 cases of lymphoedema development after a cancer diagnosis, relating to 7279 people. There was considerable variation in the time to diagnosis, with a mean and standard deviation of 483.3 (701.8) days. Cancer type was the single most important factor in explaining time to lymphoedema diagnosis. Time to lymphoedema was shortest in breast cancer. A large number of breast cancer cases have undergone surgery, and this may account for the earlier development of lymphoedema. 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spelling 2025-04-29T11:49:17.8762336 v2 69157 2025-03-27 Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom 399e932224d259fca801505dc92cebf7 0000-0001-7993-0179 Ioan Humphreys Ioan Humphreys true false 81fc05c9333d9df41b041157437bcc2f 0000-0003-3804-1943 Alan Watkins Alan Watkins true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2c7477744f24649c4bd2ec3a8f882268 Angela Williams Angela Williams true false d18101ae0b4e72051f735ef68f45e1a8 Thomas Dobbs Thomas Dobbs true false 830074c59291938a55b480dcbee4697e Iain Whitaker Iain Whitaker true false bdf5d5f154d339dd92bb25884b7c3652 0000-0003-4155-1741 Hayley Hutchings Hayley Hutchings true false 2025-03-27 HSOC This observational cohort study explored lymphoedema development following a cancer diagnosis and whether demographic factors impacted the time to lymphoedema development. We identified cases through the Secure Anonymised Information Linkage (SAIL) Databank. We used cancer diagnostic codes to identify a cohort of six broad cancer ‘types’. We independently used lymphoedema diagnostic codes to identify a cohort who developed lymphoedema. We linked these two cohorts to develop a single cohort of cases and describe the number of cases who went on to develop lymphoedema after a cancer diagnosis, and the time to lymphoedema diagnosis. We used Cox regression models to calculate hazard ratios and produced survival curves to explore whether pre-defined factors (gender, age, deprivation, cancer type) had any impact on time to lymphoedema development. We identified 7538 cases of lymphoedema development after a cancer diagnosis, relating to 7279 people. There was considerable variation in the time to diagnosis, with a mean and standard deviation of 483.3 (701.8) days. Cancer type was the single most important factor in explaining time to lymphoedema diagnosis. Time to lymphoedema was shortest in breast cancer. A large number of breast cancer cases have undergone surgery, and this may account for the earlier development of lymphoedema. Consideration should be made of risk factors for lymphoedema development in order to allow for more targeted treatment plans that could improve health-related quality of life for patients. Journal Article International Wound Journal 22 4 e70331 Wiley 1742-4801 1742-481X cancer, diagnosis, linked routine data, lymphoedema, risk factors 16 4 2025 2025-04-16 10.1111/iwj.70331 COLLEGE NANME Health and Social Care School COLLEGE CODE HSOC Swansea University SU Library paid the OA fee (TA Institutional Deal) This project has been commissioned by the Lymphoedema Network Wales as part of NHS Wales, with direct funding from the NHS to support its activities. 2025-04-29T11:49:17.8762336 2025-03-27T09:31:23.8668391 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Ioan Humphreys 0000-0001-7993-0179 1 Alan Watkins 0000-0003-3804-1943 2 Ashley Akbari 0000-0003-0814-0801 3 Rowena Griffiths 4 Marie Gabe‐Walters 5 Melanie Thomas 0000-0001-6631-9629 6 Cheryl Pike 7 Angela Williams 8 Thomas Dobbs 9 John Gibson 10 Iain Whitaker 11 Hayley Hutchings 0000-0003-4155-1741 12 69157__34133__2a3a4c691ca94aedb1a94fb50b675b85.pdf 69157.VOR.pdf 2025-04-29T11:45:43.1614848 Output 659141 application/pdf Version of Record true © 2025 The Author(s). International Wound Journal published by Medicalhelplines.com Inc and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/
title Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
spellingShingle Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
Ioan Humphreys
Alan Watkins
Ashley Akbari
Angela Williams
Thomas Dobbs
Iain Whitaker
Hayley Hutchings
title_short Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
title_full Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
title_fullStr Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
title_full_unstemmed Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
title_sort Lymphoedema Development Following a Cancer Diagnosis: An Anonymised Data Linkage Study in Wales, United Kingdom
author_id_str_mv 399e932224d259fca801505dc92cebf7
81fc05c9333d9df41b041157437bcc2f
aa1b025ec0243f708bb5eb0a93d6fb52
2c7477744f24649c4bd2ec3a8f882268
d18101ae0b4e72051f735ef68f45e1a8
830074c59291938a55b480dcbee4697e
bdf5d5f154d339dd92bb25884b7c3652
author_id_fullname_str_mv 399e932224d259fca801505dc92cebf7_***_Ioan Humphreys
81fc05c9333d9df41b041157437bcc2f_***_Alan Watkins
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
2c7477744f24649c4bd2ec3a8f882268_***_Angela Williams
d18101ae0b4e72051f735ef68f45e1a8_***_Thomas Dobbs
830074c59291938a55b480dcbee4697e_***_Iain Whitaker
bdf5d5f154d339dd92bb25884b7c3652_***_Hayley Hutchings
author Ioan Humphreys
Alan Watkins
Ashley Akbari
Angela Williams
Thomas Dobbs
Iain Whitaker
Hayley Hutchings
author2 Ioan Humphreys
Alan Watkins
Ashley Akbari
Rowena Griffiths
Marie Gabe‐Walters
Melanie Thomas
Cheryl Pike
Angela Williams
Thomas Dobbs
John Gibson
Iain Whitaker
Hayley Hutchings
format Journal article
container_title International Wound Journal
container_volume 22
container_issue 4
container_start_page e70331
publishDate 2025
institution Swansea University
issn 1742-4801
1742-481X
doi_str_mv 10.1111/iwj.70331
publisher Wiley
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
description This observational cohort study explored lymphoedema development following a cancer diagnosis and whether demographic factors impacted the time to lymphoedema development. We identified cases through the Secure Anonymised Information Linkage (SAIL) Databank. We used cancer diagnostic codes to identify a cohort of six broad cancer ‘types’. We independently used lymphoedema diagnostic codes to identify a cohort who developed lymphoedema. We linked these two cohorts to develop a single cohort of cases and describe the number of cases who went on to develop lymphoedema after a cancer diagnosis, and the time to lymphoedema diagnosis. We used Cox regression models to calculate hazard ratios and produced survival curves to explore whether pre-defined factors (gender, age, deprivation, cancer type) had any impact on time to lymphoedema development. We identified 7538 cases of lymphoedema development after a cancer diagnosis, relating to 7279 people. There was considerable variation in the time to diagnosis, with a mean and standard deviation of 483.3 (701.8) days. Cancer type was the single most important factor in explaining time to lymphoedema diagnosis. Time to lymphoedema was shortest in breast cancer. A large number of breast cancer cases have undergone surgery, and this may account for the earlier development of lymphoedema. Consideration should be made of risk factors for lymphoedema development in order to allow for more targeted treatment plans that could improve health-related quality of life for patients.
published_date 2025-04-16T05:38:44Z
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