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      Impact of two waves of Sars‐Cov2 outbreak on the number, clinical presentation, care trajectories and survival of patients newly referred for a colorectal cancer: A French multicentric cohort study from a large group of university hospitals

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          Abstract

          The SARS‐Cov2 may have impaired care trajectories, patient overall survival (OS), tumor stage at initial presentation for new colorectal cancer (CRC) cases. This study aimed at assessing those indicators before and after the beginning of the pandemic in France. In this retrospective cohort study, we collected prospectively the clinical data of the 11.4 million of patients referred to the Greater Paris University Hospitals (AP‐HP). We identified new CRC cases between 1 January 2018 and 31 December 2020, and compared indicators for 2018‐2019 to 2020. pTNM tumor stage was extracted from postoperative pathology reports for localized colon cancer, and metastatic status was extracted from CT‐scan baseline text reports. Between 2018 and 2020, 3602 and 1083 new colon and rectal cancers were referred to the AP‐HP, respectively. The 1‐year OS rates reached 94%, 93% and 76% for new CRC patients undergoing a resection of the primary tumor, in 2018‐2019, in 2020 without any Sars‐Cov2 infection and in 2020 with a Sars‐Cov2 infection, respectively (HR 3.78, 95% CI 2.1‐7.1). For patients undergoing other kind of anticancer treatment, the percentages are 64%, 66% and 27% (HR 2.1, 95% CI 1.4‐3.3). Tumor stage at initial presentation, emergency level of primary tumor resection, delays between the first multidisciplinary meeting and the first anticancer treatment did not differ over time. The SARS‐Cov2 pandemic has been associated with less newly diagnosed CRC patients and worse 1‐year OS rates attributable to the infection itself rather than to its impact on hospital care delivery or tumor stage at initial presentation.

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          The SARS‐CoV‐2 pandemic caused reallocation of healthcare resources that led to delays in diagnosis and treatment of cancer. Here, the authors conducted a retrospective cohort to assess how the pandemic affected care trajectories for colorectal cancer (CRC) cases. They assessed overall survival and tumor stage at initial presentation for patients diagnosed between January 2018 and December 2020. The results show a lower overall survival rate for CRC patients diagnosed in 2020, and that decrease is a result of SARS‐CoV‐2 infection itself rather than lack of access to treatment.

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          Most cited references47

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          Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

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            The impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis in England, UK: a national, population-based, modelling study

            Summary Background Since a national lockdown was introduced across the UK in March, 2020, in response to the COVID-19 pandemic, cancer screening has been suspended, routine diagnostic work deferred, and only urgent symptomatic cases prioritised for diagnostic intervention. In this study, we estimated the impact of delays in diagnosis on cancer survival outcomes in four major tumour types. Methods In this national population-based modelling study, we used linked English National Health Service (NHS) cancer registration and hospital administrative datasets for patients aged 15–84 years, diagnosed with breast, colorectal, and oesophageal cancer between Jan 1, 2010, and Dec 31, 2010, with follow-up data until Dec 31, 2014, and diagnosed with lung cancer between Jan 1, 2012, and Dec 31, 2012, with follow-up data until Dec 31, 2015. We use a routes-to-diagnosis framework to estimate the impact of diagnostic delays over a 12-month period from the commencement of physical distancing measures, on March 16, 2020, up to 1, 3, and 5 years after diagnosis. To model the subsequent impact of diagnostic delays on survival, we reallocated patients who were on screening and routine referral pathways to urgent and emergency pathways that are associated with more advanced stage of disease at diagnosis. We considered three reallocation scenarios representing the best to worst case scenarios and reflect actual changes in the diagnostic pathway being seen in the NHS, as of March 16, 2020, and estimated the impact on net survival at 1, 3, and 5 years after diagnosis to calculate the additional deaths that can be attributed to cancer, and the total years of life lost (YLLs) compared with pre-pandemic data. Findings We collected data for 32 583 patients with breast cancer, 24 975 with colorectal cancer, 6744 with oesophageal cancer, and 29 305 with lung cancer. Across the three different scenarios, compared with pre-pandemic figures, we estimate a 7·9–9·6% increase in the number of deaths due to breast cancer up to year 5 after diagnosis, corresponding to between 281 (95% CI 266–295) and 344 (329–358) additional deaths. For colorectal cancer, we estimate 1445 (1392–1591) to 1563 (1534–1592) additional deaths, a 15·3–16·6% increase; for lung cancer, 1235 (1220–1254) to 1372 (1343–1401) additional deaths, a 4·8–5·3% increase; and for oesophageal cancer, 330 (324–335) to 342 (336–348) additional deaths, 5·8–6·0% increase up to 5 years after diagnosis. For these four tumour types, these data correspond with 3291–3621 additional deaths across the scenarios within 5 years. The total additional YLLs across these cancers is estimated to be 59 204–63 229 years. Interpretation Substantial increases in the number of avoidable cancer deaths in England are to be expected as a result of diagnostic delays due to the COVID-19 pandemic in the UK. Urgent policy interventions are necessary, particularly the need to manage the backlog within routine diagnostic services to mitigate the expected impact of the COVID-19 pandemic on patients with cancer. Funding UK Research and Innovation Economic and Social Research Council.
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              Mortality due to cancer treatment delay: systematic review and meta-analysis

              Abstract Objective To quantify the association of cancer treatment delay and mortality for each four week increase in delay to inform cancer treatment pathways. Design Systematic review and meta-analysis. Data sources Published studies in Medline from 1 January 2000 to 10 April 2020. Eligibility criteria for selecting studies Curative, neoadjuvant, and adjuvant indications for surgery, systemic treatment, or radiotherapy for cancers of the bladder, breast, colon, rectum, lung, cervix, and head and neck were included. The main outcome measure was the hazard ratio for overall survival for each four week delay for each indication. Delay was measured from diagnosis to first treatment, or from the completion of one treatment to the start of the next. The primary analysis only included high validity studies controlling for major prognostic factors. Hazard ratios were assumed to be log linear in relation to overall survival and were converted to an effect for each four week delay. Pooled effects were estimated using DerSimonian and Laird random effect models. Results The review included 34 studies for 17 indications (n=1 272 681 patients). No high validity data were found for five of the radiotherapy indications or for cervical cancer surgery. The association between delay and increased mortality was significant (P<0.05) for 13 of 17 indications. Surgery findings were consistent, with a mortality risk for each four week delay of 1.06-1.08 (eg, colectomy 1.06, 95% confidence interval 1.01 to 1.12; breast surgery 1.08, 1.03 to 1.13). Estimates for systemic treatment varied (hazard ratio range 1.01-1.28). Radiotherapy estimates were for radical radiotherapy for head and neck cancer (hazard ratio 1.09, 95% confidence interval 1.05 to 1.14), adjuvant radiotherapy after breast conserving surgery (0.98, 0.88 to 1.09), and cervix cancer adjuvant radiotherapy (1.23, 1.00 to 1.50). A sensitivity analysis of studies that had been excluded because of lack of information on comorbidities or functional status did not change the findings. Conclusions Cancer treatment delay is a problem in health systems worldwide. The impact of delay on mortality can now be quantified for prioritisation and modelling. Even a four week delay of cancer treatment is associated with increased mortality across surgical, systemic treatment, and radiotherapy indications for seven cancers. Policies focused on minimising system level delays to cancer treatment initiation could improve population level survival outcomes.
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                Author and article information

                Contributors
                emmanuelle.kempf@aphp.fr
                Journal
                Int J Cancer
                Int J Cancer
                10.1002/(ISSN)1097-0215
                IJC
                International Journal of Cancer
                John Wiley & Sons, Inc. (Hoboken, USA )
                0020-7136
                1097-0215
                17 January 2022
                15 May 2022
                17 January 2022
                : 150
                : 10 ( doiID: 10.1002/ijc.v150.10 )
                : 1609-1618
                Affiliations
                [ 1 ] Department of Medical Oncology Henri Mondor and Albert Chenevier Teaching Hospital, Assistance Publique—Hôpitaux de Paris Créteil France
                [ 2 ] Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e‐Santé, LIMICS Sorbonne Université, Inserm, Université Sorbonne Paris Nord Paris France
                [ 3 ] IT Department Assistance Publique—Hôpitaux de Paris, Innovation and Data Paris France
                [ 4 ] Laboratoire Génie Industriel Université Paris‐Saclay, CentraleSupélec Gif‐sur‐Yvette France
                [ 5 ] Department of Digestive Surgery, Henri Mondor and Albert Chenevier Teaching Hospital Assistance Publique—Hôpitaux de Paris Créteil France
                [ 6 ] Department of Radiation Oncology Henri Mondor and Albert Chenevier Teaching Hospital, Assistance Publique—Hôpitaux de Paris Créteil France
                [ 7 ] Department of Chronic Diseases and Cancer Assistance Publique—Hôpitaux de Paris, Head Office Paris France
                [ 8 ] Department of Medical Information Assistance Publique—Hôpitaux de Paris, Head Office Paris France
                [ 9 ] Department of Medical Informatics Centre‐Université de Paris (APHP‐CUP), Université de Paris, Assistance Publique Hôpitaux de Paris Paris France
                [ 10 ] Department of Medical Information Henri Mondor and Albert Chenevier Teaching Hospital, Assistance Publique—Hôpitaux de Paris Créteil France
                [ 11 ] Clinical Research Unit Henri Mondor and Albert Chenevier Teaching Hospital, Université Paris Est Créteil, INSERM, IMRB, CEpiA Team, Assistance Publique—Hôpitaux de Paris Créteil France
                [ 12 ] Department of Medical Oncology Henri Mondor and Albert Chenevier Teaching Hospital, Université Paris Est Créteil, INSERM, IMRB, Assistance Publique—Hôpitaux de Paris Créteil France
                Author notes
                [*] [* ] Correspondence

                Emmanuelle Kempf, Department of Medical Oncology, Henri Mondor and Albert Chenevier Teaching Hospital, Assistance Publique—Hôpitaux de Paris, 1 rue Gustave Eiffel, 94000 Créteil, France.

                Email: emmanuelle.kempf@ 123456aphp.fr

                Article
                IJC33928
                10.1002/ijc.33928
                9015603
                35001364
                ef9bae7b-f6c5-4c03-8b48-656073ea7802
                © 2022 UICC.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 08 December 2021
                : 29 September 2021
                : 16 December 2021
                Page count
                Figures: 5, Tables: 2, Pages: 10, Words: 6726
                Funding
                Funded by: Fondation ARC pour la Recherche sur le Cancer , doi 10.13039/501100004097;
                Award ID: COVID202001343
                Categories
                Cancer Epidemiology
                Cancer Epidemiology
                Custom metadata
                2.0
                15 May 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.4 mode:remove_FC converted:18.04.2022

                Oncology & Radiotherapy
                colorectal neoplasms,covid‐19,delivery of health care,health services research,quality of health care

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