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dc.contributor.authorSud, A
dc.contributor.authorJones, ME
dc.contributor.authorBroggio, J
dc.contributor.authorLoveday, C
dc.contributor.authorTorr, B
dc.contributor.authorGarrett, A
dc.contributor.authorNicol, DL
dc.contributor.authorJhanji, S
dc.contributor.authorBoyce, SA
dc.contributor.authorGronthoud, F
dc.contributor.authorWard, P
dc.contributor.authorHandy, JM
dc.contributor.authorYousaf, N
dc.contributor.authorLarkin, J
dc.contributor.authorSuh, Y-E
dc.contributor.authorScott, S
dc.contributor.authorPharoah, PDP
dc.contributor.authorSwanton, C
dc.contributor.authorAbbosh, C
dc.contributor.authorWilliams, M
dc.contributor.authorLyratzopoulos, G
dc.contributor.authorHoulston, R
dc.contributor.authorTurnbull, C
dc.date.accessioned2020-06-02T08:56:11Z
dc.date.issued2020-08-01
dc.identifier.citationAnnals of oncology : official journal of the European Society for Medical Oncology, 2020, 31 (8), pp. 1065 - 1074
dc.identifier.issn0923-7534
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3664
dc.identifier.eissn1569-8041
dc.identifier.doi10.1016/j.annonc.2020.05.009
dc.description.abstractBACKGROUND: Cancer diagnostics and surgery have been disrupted by the response of health care services to the coronavirus disease 2019 (COVID-19) pandemic. Progression of cancers during delay will impact on patients' long-term survival. PATIENTS AND METHODS: We generated per-day hazard ratios of cancer progression from observational studies and applied these to age-specific, stage-specific cancer survival for England 2013-2017. We modelled per-patient delay of 3 and 6 months and periods of disruption of 1 and 2 years. Using health care resource costing, we contextualise attributable lives saved and life-years gained (LYGs) from cancer surgery to equivalent volumes of COVID-19 hospitalisations. RESULTS: Per year, 94 912 resections for major cancers result in 80 406 long-term survivors and 1 717 051 LYGs. Per-patient delay of 3/6 months would cause attributable death of 4755/10 760 of these individuals with loss of 92 214/208 275 life-years, respectively. For cancer surgery, average LYGs per patient are 18.1 under standard conditions and 17.1/15.9 with a delay of 3/6 months (an average loss of 0.97/2.19 LYGs per patient), respectively. Taking into account health care resource units (HCRUs), surgery results on average per patient in 2.25 resource-adjusted life-years gained (RALYGs) under standard conditions and 2.12/1.97 RALYGs following delay of 3/6 months. For 94 912 hospital COVID-19 admissions, there are 482 022 LYGs requiring 1 052 949 HCRUs. Hospitalisation of community-acquired COVID-19 patients yields on average per patient 5.08 LYG and 0.46 RALYGs. CONCLUSIONS: Modest delays in surgery for cancer incur significant impact on survival. Delay of 3/6 months in surgery for incident cancers would mitigate 19%/43% of LYGs, respectively, by hospitalisation of an equivalent volume of admissions for community-acquired COVID-19. This rises to 26%/59%, respectively, when considering RALYGs. To avoid a downstream public health crisis of avoidable cancer deaths, cancer diagnostic and surgical pathways must be maintained at normal throughput, with rapid attention to any backlog already accrued.
dc.formatPrint-Electronic
dc.format.extent1065 - 1074
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectPneumonia, Viral
dc.subjectCoronavirus Infections
dc.subjectNeoplasms
dc.subjectTreatment Outcome
dc.subjectHospitalization
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectMiddle Aged
dc.subjectFemale
dc.subjectMale
dc.subjectPandemics
dc.subjectTime-to-Treatment
dc.subjectBetacoronavirus
dc.subjectCOVID-19
dc.subjectSARS-CoV-2
dc.titleCollateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic.
dc.typeJournal Article
dcterms.dateAccepted2020-05-10
rioxxterms.versionofrecord10.1016/j.annonc.2020.05.009
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2020-08
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfAnnals of oncology : official journal of the European Society for Medical Oncology
pubs.issue8
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer/Melanoma and Kidney Cancer (hon.)
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/19/20 Starting Cohort
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Melanoma and Kidney Cancer/Melanoma and Kidney Cancer (hon.)
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/19/20 Starting Cohort
pubs.publication-statusPublished
pubs.volume31
pubs.embargo.termsNo embargo
icr.researchteamMelanoma and Kidney Cancer
icr.researchteamAetiological Epidemiology
icr.researchteamCancer Genomics
dc.contributor.icrauthorSud, Amit
dc.contributor.icrauthorJones, Michael
dc.contributor.icrauthorPemberton - Whiteley, Bethany
dc.contributor.icrauthorGarrett, Alice
dc.contributor.icrauthorHoulston, Richard
dc.contributor.icrauthorTurnbull, Clare


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