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Collateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic
Open accessAbstract
BACKGROUND: 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.
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Docherty, A. B., Harrison, E. M., Green, C. A., Hardwick, H. E., Pius, R., Norman, L., Holden, K. A., Read, J. M., Dondelinger, F., Carson, G., et al. (2020) · BMJ · doi:10.1136/bmj.m1985 · Cited by 3,481 · cited 1×
“ICU COVID-19 mortality, distribution by age and duration of stay and proportion referred into ICU were obtained from ICNARC (Intensive Care National Audit and Research Centre) and data from hospitalised UK cases.(7,8) Because of lack of UK data, data from Wuhan were used as the basis for the age distribution of commun…”
Cited by
Lai, A. G., Pasea, L., Banerjee, A., Hall, G., Denaxas, S., Chang, W. H., Katsoulis, M., Williams, B., Pillay, D., Noursadeghi, M., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-043828 · Cited by 447
Self-citationIoannidis, J. P. A., Axfors, C., & Contopoulos-Ioannidis, D. G. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109890 · Cited by 331
Knight, S. R., Shaw, C. A., Pius, R., Drake, T. M., Norman, L., Ademuyiwa, A. O., Adisa, A. O., Aguilera, M. L., Al-Saqqa, S. W., Al-Slaibi, I., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00001-5 · Cited by 328
Self-citationRutter, M. D., Brookes, M., Lee, T. J., Rogers, P., & Sharp, L. (2021) · Gut · doi:10.1136/gutjnl-2020-322179 · Cited by 285
Should governments continue lockdown to slow the spread of covid-19?
Melnick, E. R., & Ioannidis, J. P. A. (2020) · BMJ · doi:10.1136/bmj.m1924 · Cited by 104
Metadata
- Authors
- Sud, A., Jones, M. E., Broggio, J., Loveday, C., Torr, B., Garrett, A., Nicol, D. L., Jhanji, S., Boyce, S. A., Gronthoud, F., Ward, P., Handy, J. M., Yousaf, N., Larkin, J., Suh, Y.-E., Scott, S., Pharoah, P. D. P., Swanton, C., Abbosh, C., Williams, M., Lyratzopoulos, G., Houlston, R., & Turnbull, C.
- Venue
- Annals of Oncology
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 31
- Issue
- 8
- Pages
- 1065-1074
- ISSN
- 0923-7534 (ISSN-L)
- OpenAlex
- W3025323637
- Cited by
- 552
- References
- 1
- FWCI
- 37.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sud, A., Jones, M. E., Broggio, J., Loveday, C., Torr, B., Garrett, A., Nicol, D. L., Jhanji, S., Boyce, S. A., Gronthoud, F., Ward, P., Handy, J. M., Yousaf, N., Larkin, J., Suh, Y.-E., Scott, S., Pharoah, P. D. P., Swanton, C., Abbosh, C., . . . Turnbull, C. (2020). Collateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic. Annals of Oncology. https://doi.org/10.1016/j.annonc.2020.05.009
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.