The DOI matches its Crossref record.
COVID-19 and cancer
Abstract
With the spread of coronavirus disease 2019 (COVID-19), countries and states have instituted lockdowns. These decisions have been difficult and are sometimes described as benefiting the public health at the expense of the economy. Fear of contracting the coronavirus in health care settings has dissuaded people from screening, diagnosis, and treatment for non–COVID-19 diseases. The consequences for cancer outcomes, for example, could be substantial. What can be done to minimize this effect?
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699
Current and future colorectal cancer screening strategies
Shaukat, A., & Levin, T. R. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00612-y · Cited by 516
Yong, J. H., Mainprize, J. G., Yaffe, M. J., Ruan, Y., Poirier, A. E., Coldman, A., Nadeau, C., Iragorri, N., Hilsden, R. J., & Brenner, D. R. (2021) · Journal of Medical Screening · doi:10.1177/0969141320974711 · Cited by 187
Impact of COVID-19 on cancer care in India: a cohort study
Ranganathan, P., Sengar, M., Chinnaswamy, G., Agrawal, G., Arumugham, R., Bhatt, R., Bilimagga, R., Chakrabarti, J., Chandrasekharan, A., Chaturvedi, H. K., et al. (2021) · The Lancet Oncology · doi:10.1016/s1470-2045(21)00240-0 · Cited by 159
Association of the COVID-19 Outbreak With Patient Willingness to Enroll in Cancer Clinical Trials.
Fleury, M. E., Farner, A. M., & Unger, J. M. (2021) · JAMA Oncology · doi:10.1001/jamaoncol.2020.5748 · Cited by 50
Metadata
- Authors
- Sharpless, N. E.
- Venue
- Science
- Published
- 2020-06-19
- Volume
- 368
- Issue
- 6497
- Pages
- 1290-1290
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3036054806
- Cited by
- 408
- References
- 0
- FWCI
- 26.47
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: COVID-19 and cancer. https://app.cochat.ai/papers/10.1126/science.abd3377
- The paper
- Sharpless, N. E. (2020). COVID-19 and cancer. Science. https://doi.org/10.1126/science.abd3377
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.