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DOI: 10.1055/s-0045-1813642
Impact of the COVID-19 Pandemic on Colorectal Cancer Patients at a Major Brazilian Cancer Center: An Increase in Metastatic Patients upon Presentation?
Authors
Abstract
Introduction
The years 2020 and 2021 were peculiar due to the coronavirus disease 2019 (COVID-19) pandemic, which may also have had an impact on people with colorectal cancer (CRC). In the state of Bahia, Brazil, Hospital Aristides Maltez (HAM) is responsible for most of the oncological care, including malignant neoplasms of colon and rectum. Considering that most of metastatic CRC cases are no longer curable, evaluate if there was an increase in the proportion of that stage of disease can serve as a metric of the impact of this epidemic.
Materials and Methods
Retrospective analysis of HAM's electronic medical records of patients with CRC that had their first consultation during the first 12 months of COVID-19 epidemic at Bahia, in comparison to those that had their first consultation during the 12 previous months.
Results
Main characteristics of both groups were similar. Median age was 63 years old, with near representation of both genders, and predominance of brown skin color and a low level of education. However, in the first year of COVID-19 epidemic, there was a 26.89% increase of subjects with already metastatic CRC in the first medical evaluation at HAM (although without statistical significance).
Discussion
We found a numerical increase in metastatic CRC in the COVID period cohort. In consonance with this, another Brazilian study found an increase in the proportion of new cases of advanced CRC, between March and July 2020, in comparison to the same period in 2019. Moreover, in another publication, an increase in colorectal cancer mortality in USA is projected due to delays in screening and diagnosing during the COVID-19 pandemic.
Conclusion
These results urge attention to CRC in the following years and in the next pandemic.
Keywords
colorectal neoplasms - colonic neoplasms - rectal neoplasms - COVID-19 - SARS-CoV-2 - pandemicsIntroduction
Colorectal cancer (CRC) is one of the most prevalent types of cancer worldwide, and one of the major causes of cancer-related deaths[1] [2]—and this is not different in Brazil.[3] [4] In the state of Bahia, Hospital Aristides Maltez (HAM) is responsible for most of the oncological care.[5] According to the Brazilian National Cancer Institute (INCA), 1,480 new CRC cases were estimated in Bahia in 2020.[3] A report from the Bahia League Against Cancer (LBCC, from the Portuguese Liga Bahiana Contra o Câncer) shows that 538 new cases of CRC were treated at HAM in 2019 (corresponding to 36% of the total estimated for the whole state in 2020), with similar numbers in the 2 previous years.[5]
The years 2020 and 2021 were peculiar due to coronavirus disease 2019 (COVID-19) in several aspects. Tackling the pandemic was prioritized. Therefore, cancer patients, including those with colorectal malignancies, may have been affected by oncological care delays. In an article published in 2020, it was recommended that resection of CRC occurred as soon as possible, depending on the availability of resources and the epidemics situation at the local level, as delaying resection could have a negative impact on survival.[6] Another study, done before the COVID-19 pandemic, demonstrated a negative impact on survival when the time between CRC diagnosis and its resection was increased.[7] In line with this, a systematic review published in 2020, which took into account studies from 2005 to 2020, demonstrated that a delay of 30 to 40 days in primary colon cancer resection was associated with shorter survival.[8] This systematic review also showed that, in rectal cancer cases, a time interval above 7 to 8 weeks between neoadjuvant treatment and surgery resulted in decreased survival.[8]
The main objective of the present research is to evaluate the impact of the COVID-19 pandemic in CRC patients care at HAM. The secondary objective is to describe the characteristics of the patients treated at HAM with this malignancy.
Materials and Methods
Data from electronic medical records of HAM (a reference cancer hospital in Salvador, Bahia, Brazil) were retrospective accessed. A list of adult patients with CRC was generated using the coding system (codes C18, C19, C20) of the International Classification of Diseases, 10th edition[9] (ICD-10). It was restricted to 2 periods of time: first year of COVID-19 epidemic in the state of Bahia (COVID period)[10] and the 12 months prior to the pandemic (pre-COVID period). The COVID period's list had 469 people, and the pre-COVID's one had 443.
Sample sizes were calculated separately using the tool “sample size for % frequency in a population (random samples),” available at the OpenEpi (open source) website.[11] Anticipating a frequency of 20% of metastatic disease[12] and with absolute precision of 5%, the sample size was 162 (COVID period) and 159 (pre-COVID period), with 95% confidence interval.
Sample sizes were also calculated considering both groups in the same analysis, using the tool “Sample Size: Cross-sectional, Cohort and Randomized Clinical Trials,” also available on the OpenEpi website.[11] Considering a bilateral confidence level of 95%, power of 80%, with a “non-exposed-to-exposed rate” of 0.94 (443/469), an estimated percentage of metastatic disease in the “non-exposed group” of 20%,[12] and an odds ratio of 2, the results of sample size calculation were 177 people for the COVID group and 166 people for the pre-COVID group.
Research subjects' selection was aleatory. The aleatory number generation tool “Gerador de números aleatórios”[13] was used for this purpose.
Data was collected by a team of six people, using the RedCap software (Vanderbilt University)[14] [15] authorized to Fiocruz Bahia. Data extraction form is available in the [Supplementary Appendix 1] (online only).
Inclusion Criteria
Adults that had their first appointment at HAM specifically due to CRC (either suspected or confirmed), with adenocarcinoma or carcinoma not otherwise specified histological types, at one of the following 2 periods of time: from March 18, 2020, to March 17, 2021,[10] or from March 1, 2019, to February 28, 2020.
Non-inclusion Criteria
Subjects that were misclassified with one of CRC's international codes; subjects that already concluded one step of oncological treatment at another institution, as oncological surgery, radiotherapy or systemic treatment (with the exception of those who previously received just a non-specialized surgical treatment, as for bowel obstruction).
Statistical Analysis
Descriptive analysis methods were used, as absolute numbers, frequencies, proportions, measures of central tendency and dispersion. This part of the statistical analysis was done with the same system used for data collection, the RedCap[14] [15] authorized to Fiocruz Bahia. Comparative analysis between the groups was done with the STATA software (StataCorp LLC), version 18.0.[16] For this, the Pearson's Chi-squared test was applied.
Risks of this Research
Subjects' confidential data leakage. Measures to avoid it were taken, such as identification of research subjects with a new coding system, and use of a special data storage system, the RedCap.[14] [15] Access to it was protected by an individual password for each member of the research team.
Research protocol was previously submitted to (and approved by) both ethics committees of the main institution, Fiocruz Bahia, and the coparticipant institution, HAM. The Brazilian Certificate of Presentation for Ethical Appreciation (CAAE) number is 66752823.5.0000.0040 (available for consultation at the “Plataforma Brasil” website[17]).
Results
Sociodemographic and health data are shown in [Tables 1] and [2].
|
Pre-COVID group |
COVID group |
|
|---|---|---|
|
Number of subjects |
152 |
170 |
|
Age (years) |
||
|
Median Percentile 25–75 |
63 54.00–73.25 |
63 53.00–75.75 |
|
Gender |
||
|
Female Male |
78 (51.3%) 74 (48.7%) |
93 (54.7%) 77 (45.3%) |
|
Skin color or ethnicity |
||
|
Yellow White Native American Brown Black Other |
0 11 (7.2%) 0 129 (84.9%) 7 (4.6%) 3 (3.3%) |
0 0 0 144 (84.7%) 26 (15.3%) 0 |
|
Marital status |
||
|
Single Married Stable union Separated Divorced Widow(er) No data |
80 (52.6%) 53 (34.2%) 0 1 (0.7%) 8 (5.3%) 11 (7.2%) 0 |
63 (37.1%) 74 (43.5%) 0 0 12 (7.1%) 21 (12.4%) 0 |
|
Place of birth |
||
|
Brazil – Bahia Brazil – Other states Brazil – Not specified Other countries |
139 (92.1%) 11 (7.3%) 2 (1.4%) 0 |
158 (92.9%) 12 (7.1%) 0 0 |
|
Location of residency |
||
|
Brazil – Bahia |
152 (100%) |
170 (100%) |
|
Regional Health Nucleus (Bahia)[19] of residency |
||
|
Eastern* Others No data |
78 (51.31%) 74 (48.68%) 0 |
88 (51.76%) 82 (48.23%) 0 |
|
Education |
||
|
Analphabet Elementary school High school Bachelor's degree Masters or Doctorate degree No data |
8 (5.30%) 85 (55.92%) 51 (33.55%) 6 (3.94%) 0 2 (1.31%) |
10 (5.88%) 92 (54.11%) 59 (34.70%) 9 (5.29%) 0 0 |
Abbreviation: COVID, coronavirus disease 2019.
Notes: Results presented in absolute numbers (with respective percentages in parentheses). *Eastern Regional Health Nucleus (of Bahia), made up of 47 municipalities, including Salvador.[19]
Abbreviations: COVID, coronavirus disease 2019; HAM, Hospital Aristides Maltez.
Note: Results presented in absolute numbers (with respective percentages in parentheses).
As demonstrated in [Table 2], there was an increase of 26.89% of metastatic disease at presentation from pre-COVID to COVID group (from 27.7–35.15%, after excluding subjects that were not possible to determine if metastatic or not at admission). Despite this numerical increase, the Pearson's Chi-squared test result was 2.00, Pr 0.15 (without statistical significance).
Discussion
We found that there was a numerical increase in the percentage of metastatic CRC patients at first presentation, during the first year of the COVID period, in comparison to the 12 previous months (but without statistical significance).
The pre-COVID group's characteristics represent the usual CRC population that seeks cancer care at HAM. In this group, genders were well balanced, with a median age of 63 years old, which is in line with international data.[18] There was a predominance of brown skin color and low level of education. Although the Hospital is located at the main city of the state, in the far east, there was a similar representation of patients that came from its Regional Health Nucleus (Eastern) and others. This demonstrates the scope of the hospital, which serves people from all parts of Bahia (which is divided in 9 regional health nuclei).[19] The high percentage of people with rectal cancer (half of the sample) calls for attention. This may be due to the fact that radiotherapy, which is frequently used during the treatment of this part of the bowel,[20] is available at HAM, but not at other health centers across the state. Representation of metastatic CRC in the pre-COVID group was higher than international data—27% in this versus 20% in USA data.[12] This may represent a lost opportunity to offer curative treatment, as, in most cases, CRCs are no longer curable when metastatic.[20]
The group of patients who came to HAM and had anatomopathological diagnosis established during the first year of the COVID-19 epidemic in Bahia (COVID group)[10] presented similar epidemiological data in relation to the previous one. Nonetheless, there was an increase of 26.89% of people presenting at the metastatic stage (from 27.7% in the pre-COVID to 35.15% in the COVID group)—although the Pearson's Chi-squared test did not show statistical significance for this percentage increment. There are some hypotheses that may explain this finding. The sample size was inferior to the one that was calculated, when taking in consideration both groups together, which may have underpowered the study for this evaluation (of the difference of percentages between groups). Another important point is that the representation of metastatic patients since the beginning, in the control group (pre-COVID), was higher than expected (27.7%, instead of 20% according to international data[12]). This might have influenced the results too. If this higher percentage was used to calculate the sample size, it would be larger. That said, there is still the possibility that the current result (without statistical significance) reflects the reality.
A similar study done at another Brazilian hospital, which is a reference center in cancer treatment in the state of São Paulo, found an increase in the proportion of new cases of advanced CRC, between March and July 2020, compared with the same period in 2019.[21] This result reached statistical significance.
According to another study, that evaluated CRC screening programs in 29 countries, there was a decrease of CRC screening during the COVID-19 pandemic.[22] Moreover, this research states that, if measures to correct this problem are not implemented, this could lead to an increase in cases of CRC, as well as greater mortality from this malignancy.
The results of those two other studies[21] [22] are in line with the findings of this present research, which highlights the importance of cancer care during special periods, such as the COVID-19 pandemic, as well as in the subsequent years.
Conflict of Interests
The authors have no conflict of interests to declare.
Authors' Contributions
JPVMS: conceptualization, data curation, formal analysis, investigation, methodology, project administration, softwares, validation, visualization, writing, review and editing; MGR: conceptualization, methodology, project administration, supervision, validation, writing, review and editing; CTFA: investigation, view and editing; DRR: investigation, view and editing; DMA: investigation, view and editing; DSN: investigation, view and editing; MFPRR: investigation, view and editing;
-
References
- 1 World Health Organization. Cancer. Geneva: WHO; 2022. [cited 2024 Dec 10]. Available from: https://www.who.int/news-room/fact-sheets/detail/cancer
- 2 Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin 2023; 73 (01) 17-48
- 3 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. [cited 2024 Dec 10]. Available from: https://pesquisa.bvsalud.org/controlecancer/resource/pt/biblio-1050061
- 4
Ministério da Saúde.
DataSUS, Sistema de informações sobre mortalidade. Brasília: Ministério da Saúde;
[cited 2024 Dec 10]. Available from: http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/obt10uf.def
- 5 Liga Bahiana Contra O Câncer (LBCC). Relatório Anual 2019 LBCC. Salvador: LBCC; 2020. [cited 2024 Dec 10]. Available from: https://www.aristidesmaltez.org.br/wp-content/uploads/2020/05/Relatorio-LBCC-2019.pdf
- 6 Slater H. Delayed Resection May Worsen Survival in Patients with Colorectal Cancer. Cranbury, NJ: Cancer Network; 2020. [cited 2024 Dec 10]. Available from: https://www.cancernetwork.com/view/delayed-resection-may-worsen-survival-in-patients-with-colorectal-cancer
- 7 Lee YH, Kung PT, Wang YH, Kuo WY, Kao SL, Tsai WC. Effect of length of time from diagnosis to treatment on colorectal cancer survival: A population-based study. PLoS One 2019; 14 (01) e0210465
- 8 Fligor SC, Wang S, Allar BG, Tsikis ST, Ore AS, Whitlock AE. et al. Gastrointestinal Malignancies and the COVID-19 Pandemic: Evidence-Based Triage to Surgery. J Gastrointest Surg 2020; 24 (10) 2357-2373
- 9 Wells RHC, Bay-Nielsen H, Braun R, Israel RA, Laurenti R, Maguin P, Taylor E. CID-10: classificação estatística internacional de doenças e problemas relacionados à saúde. São Paulo: EDUSP; 2011. [cited 2024 Dec 10]. Available from: https://repositorio.usp.br/item/002786116
- 10 Governo do Estado da Bahia. Decreto n° 19.549, de 18 de março de 2020. Declara Situação de Emergência em todo o território baiano, afetado por Doença Infecciosa Viral - COBRADE 1.5.1.1.0, conforme a Instrução Normativa do Ministério da Integração Nacional n° 02, de 20 de dezembro de 2016, para fins de prevenção e enfrentamento à COVID-19, e dá outras providências. Salvador: Diário Oficial do Estado (DOE); 2020. [cited 2024 Dec 10]. Available from: https://www.legisweb.com.br/legislacao/?id=390825
- 11 Dean AG, Sullivan KM, Soe MM. OpenEpi: Open-source epidemiologic statistics for public health. Version 3.01 [software]. 2013 Apr 06 [cited 2024 Dec 10]. Available from: https://www.openepi.com/Menu/OE_Menu.htm
- 12 Biller LH, Schrag D. Diagnosis and Treatment of Metastatic Colorectal Cancer: A Review. JAMA 2021; 325 (07) 669-685
- 13 7Graus. 4devs: Gerador de números aleatórios [software]. 2012 - 2024 [cited 2024
Dec 10]. Available from: https://www.4devs.com.br/gerador_de_numeros_aleatorios
- 14 Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42 (02) 377-381
- 15 Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L. et al; REDCap Consortium. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform 2019; 95: 103208
- 16 Stata Corp LLC. Stata Statistical Software: Release 18 [software]. 2023 [cited 2024 Dec 10]. Available from: https://www.stata.com
- 17
Ministério da Saúde.
Plataforma Brasil. Brasília: Ministério Da Saúde; [cited 2024 Dec 10]. Available
from: https://plataformabrasil.saude.gov.br/login.jsf;jsessionid=h947BbWBjdsW46X5yvmlyWEi
- 18 Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021; 71 (03) 209-249
- 19 Secretaria de Saúde do Estado da Bahia. Regiões de saúde do estado da Bahia. Salvador: Secretaria de Saúde do Estado da Bahia; 2013. [cited 2024 Dec 10]. Available from: http://www1.saude.ba.gov.br/mapa_bahia/VISAOMACRORREGIAOch.asp
- 20 National Comprehensive Cancer Network. Plymouth Meeting. PA: NCCN; 2023. . Available from: https://www.nccn.org/
- 21 Aguiar S, Riechelmann RP, Mello CALd, Silva JCFd, Diogenes IDC, Andrade MS. et al. Impact of COVID-19 on colorectal cancer presentation. Br J Surg 2021; 108 (02) e81-e82
- 22 Worthington J, Van Wifferen F, Sun Z, De Jonge L, Lew J-B, Greuter MJE. et al; I-PaRCS Consortium. Potential global loss of life expected due to COVID-19 disruptions to organised colorectal cancer screening. EClinicalMedicine 2023; 62: 102081
Address for correspondence
Publication History
Received: 29 January 2025
Accepted: 04 June 2025
Article published online:
04 February 2026
© 2026. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)
Thieme Revinter Publicações Ltda.
Rua Rego Freitas, 175, loja 1, República, São Paulo, SP, CEP 01220-010, Brazil
João Paulo Velloso Medrado Santos, Camille Teles Ferreira de Almeida, Dandara Rocha Ramos, Danielle Moreira de Abreu, Danyelle Santos Novaes, Maria Fernanda Passos Rocha Ramos, Mitermayer G. Reis. Impact of the COVID-19 Pandemic on Colorectal Cancer Patients at a Major Brazilian Cancer Center: An Increase in Metastatic Patients upon Presentation?. Brazilian Journal of Oncology 2026; 22: s00451813642.
DOI: 10.1055/s-0045-1813642
-
References
- 1 World Health Organization. Cancer. Geneva: WHO; 2022. [cited 2024 Dec 10]. Available from: https://www.who.int/news-room/fact-sheets/detail/cancer
- 2 Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin 2023; 73 (01) 17-48
- 3 Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2019. [cited 2024 Dec 10]. Available from: https://pesquisa.bvsalud.org/controlecancer/resource/pt/biblio-1050061
- 4
Ministério da Saúde.
DataSUS, Sistema de informações sobre mortalidade. Brasília: Ministério da Saúde;
[cited 2024 Dec 10]. Available from: http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/obt10uf.def
- 5 Liga Bahiana Contra O Câncer (LBCC). Relatório Anual 2019 LBCC. Salvador: LBCC; 2020. [cited 2024 Dec 10]. Available from: https://www.aristidesmaltez.org.br/wp-content/uploads/2020/05/Relatorio-LBCC-2019.pdf
- 6 Slater H. Delayed Resection May Worsen Survival in Patients with Colorectal Cancer. Cranbury, NJ: Cancer Network; 2020. [cited 2024 Dec 10]. Available from: https://www.cancernetwork.com/view/delayed-resection-may-worsen-survival-in-patients-with-colorectal-cancer
- 7 Lee YH, Kung PT, Wang YH, Kuo WY, Kao SL, Tsai WC. Effect of length of time from diagnosis to treatment on colorectal cancer survival: A population-based study. PLoS One 2019; 14 (01) e0210465
- 8 Fligor SC, Wang S, Allar BG, Tsikis ST, Ore AS, Whitlock AE. et al. Gastrointestinal Malignancies and the COVID-19 Pandemic: Evidence-Based Triage to Surgery. J Gastrointest Surg 2020; 24 (10) 2357-2373
- 9 Wells RHC, Bay-Nielsen H, Braun R, Israel RA, Laurenti R, Maguin P, Taylor E. CID-10: classificação estatística internacional de doenças e problemas relacionados à saúde. São Paulo: EDUSP; 2011. [cited 2024 Dec 10]. Available from: https://repositorio.usp.br/item/002786116
- 10 Governo do Estado da Bahia. Decreto n° 19.549, de 18 de março de 2020. Declara Situação de Emergência em todo o território baiano, afetado por Doença Infecciosa Viral - COBRADE 1.5.1.1.0, conforme a Instrução Normativa do Ministério da Integração Nacional n° 02, de 20 de dezembro de 2016, para fins de prevenção e enfrentamento à COVID-19, e dá outras providências. Salvador: Diário Oficial do Estado (DOE); 2020. [cited 2024 Dec 10]. Available from: https://www.legisweb.com.br/legislacao/?id=390825
- 11 Dean AG, Sullivan KM, Soe MM. OpenEpi: Open-source epidemiologic statistics for public health. Version 3.01 [software]. 2013 Apr 06 [cited 2024 Dec 10]. Available from: https://www.openepi.com/Menu/OE_Menu.htm
- 12 Biller LH, Schrag D. Diagnosis and Treatment of Metastatic Colorectal Cancer: A Review. JAMA 2021; 325 (07) 669-685
- 13 7Graus. 4devs: Gerador de números aleatórios [software]. 2012 - 2024 [cited 2024
Dec 10]. Available from: https://www.4devs.com.br/gerador_de_numeros_aleatorios
- 14 Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42 (02) 377-381
- 15 Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L. et al; REDCap Consortium. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform 2019; 95: 103208
- 16 Stata Corp LLC. Stata Statistical Software: Release 18 [software]. 2023 [cited 2024 Dec 10]. Available from: https://www.stata.com
- 17
Ministério da Saúde.
Plataforma Brasil. Brasília: Ministério Da Saúde; [cited 2024 Dec 10]. Available
from: https://plataformabrasil.saude.gov.br/login.jsf;jsessionid=h947BbWBjdsW46X5yvmlyWEi
- 18 Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021; 71 (03) 209-249
- 19 Secretaria de Saúde do Estado da Bahia. Regiões de saúde do estado da Bahia. Salvador: Secretaria de Saúde do Estado da Bahia; 2013. [cited 2024 Dec 10]. Available from: http://www1.saude.ba.gov.br/mapa_bahia/VISAOMACRORREGIAOch.asp
- 20 National Comprehensive Cancer Network. Plymouth Meeting. PA: NCCN; 2023. . Available from: https://www.nccn.org/
- 21 Aguiar S, Riechelmann RP, Mello CALd, Silva JCFd, Diogenes IDC, Andrade MS. et al. Impact of COVID-19 on colorectal cancer presentation. Br J Surg 2021; 108 (02) e81-e82
- 22 Worthington J, Van Wifferen F, Sun Z, De Jonge L, Lew J-B, Greuter MJE. et al; I-PaRCS Consortium. Potential global loss of life expected due to COVID-19 disruptions to organised colorectal cancer screening. EClinicalMedicine 2023; 62: 102081