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Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study.
Lai, Alvina G; Pasea, Laura; Banerjee, Amitava; Hall, Geoff; Denaxas, Spiros; Chang, Wai Hoong; Katsoulis, Michail; Williams, Bryan; Pillay, Deenan; Noursadeghi, Mahdad; Linch, David; Hughes, Derralynn; Forster, Martin D; Turnbull, Clare; Fitzpatrick, Natalie K; Boyd, Kathryn; Foster, Graham R; Enver, Tariq; Nafilyan, Vahe; Humberstone, Ben; Neal, Richard D; Cooper, Matt; Jones, Monica; Pritchard-Jones, Kathy; Sullivan, Richard; Davie, Charlie; Lawler, Mark; Hemingway, Harry.
  • Lai AG; Institute of Health Informatics, University College London, London, UK alvina.lai@ucl.ac.uk.
  • Pasea L; Health Data Research UK, University College London, London, UK.
  • Banerjee A; Institute of Health Informatics, University College London, London, UK.
  • Hall G; Health Data Research UK, University College London, London, UK.
  • Denaxas S; Institute of Health Informatics, University College London, London, UK.
  • Chang WH; Health Data Research UK, University College London, London, UK.
  • Katsoulis M; Barts Health NHS Trust, The Royal London Hospital, Whitechapel Rd, London, UK.
  • Williams B; DATA-CAN, Health Data Research UK hub for cancer hosted by UCLPartners, London, UK.
  • Pillay D; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.
  • Noursadeghi M; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Linch D; Institute of Health Informatics, University College London, London, UK.
  • Hughes D; Health Data Research UK, University College London, London, UK.
  • Forster MD; University College London Hospitals NIHR Biomedical Research Centre, London, UK.
  • Turnbull C; The Alan Turing Institute, London, UK.
  • Fitzpatrick NK; Institute of Health Informatics, University College London, London, UK.
  • Boyd K; Health Data Research UK, University College London, London, UK.
  • Foster GR; Institute of Health Informatics, University College London, London, UK.
  • Enver T; University College London Hospitals NIHR Biomedical Research Centre, London, UK.
  • Nafilyan V; Institute of Cardiovascular Science, University College London, London, UK.
  • Humberstone B; University College London Hospitals NHS Trust, London, UK.
  • Neal RD; Division of Infection and Immunity, University College London, London, UK.
  • Cooper M; Division of Infection and Immunity, University College London, London, UK.
  • Jones M; University College London Hospitals NIHR Biomedical Research Centre, London, UK.
  • Pritchard-Jones K; Department of Hematology, University College London Cancer Institute, London, UK.
  • Sullivan R; University College London Cancer Institute, London, UK.
  • Davie C; Royal Free NHS Foundation Trust, London, UK.
  • Lawler M; University College London Hospitals NHS Trust, London, UK.
  • Hemingway H; University College London Cancer Institute, London, UK.
BMJ Open ; 10(11): e043828, 2020 11 17.
Article in English | MEDLINE | ID: covidwho-934100
ABSTRACT

OBJECTIVES:

To estimate the impact of the COVID-19 pandemic on cancer care services and overall (direct and indirect) excess deaths in people with cancer.

METHODS:

We employed near real-time weekly data on cancer care to determine the adverse effect of the pandemic on cancer services. We also used these data, together with national death registrations until June 2020 to model deaths, in excess of background (pre-COVID-19) mortality, in people with cancer. Background mortality risks for 24 cancers with and without COVID-19-relevant comorbidities were obtained from population-based primary care cohort (Clinical Practice Research Datalink) on 3 862 012 adults in England.

RESULTS:

Declines in urgent referrals (median=-70.4%) and chemotherapy attendances (median=-41.5%) to a nadir (lowest point) in the pandemic were observed. By 31 May, these declines have only partially recovered; urgent referrals (median=-44.5%) and chemotherapy attendances (median=-31.2%). There were short-term excess death registrations for cancer (without COVID-19), with peak relative risk (RR) of 1.17 at week ending on 3 April. The peak RR for all-cause deaths was 2.1 from week ending on 17 April. Based on these findings and recent literature, we modelled 40% and 80% of cancer patients being affected by the pandemic in the long-term. At 40% affected, we estimated 1-year total (direct and indirect) excess deaths in people with cancer as between 7165 and 17 910, using RRs of 1.2 and 1.5, respectively, where 78% of excess deaths occured in patients with ≥1 comorbidity.

CONCLUSIONS:

Dramatic reductions were detected in the demand for, and supply of, cancer services which have not fully recovered with lockdown easing. These may contribute, over a 1-year time horizon, to substantial excess mortality among people with cancer and multimorbidity. It is urgent to understand how the recovery of general practitioner, oncology and other hospital services might best mitigate these long-term excess mortality risks.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Models, Statistical / Pandemics / SARS-CoV-2 / COVID-19 / Neoplasms Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: BMJ Open Year: 2020 Document Type: Article Affiliation country: Bmjopen-2020-043828

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Models, Statistical / Pandemics / SARS-CoV-2 / COVID-19 / Neoplasms Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: BMJ Open Year: 2020 Document Type: Article Affiliation country: Bmjopen-2020-043828