The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Kawasaki-like disease: emerging complication during the COVID-19 pandemic
Open accessOverview
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
Cites
Epidemiology of COVID-19 Among Children in China
Dong, Y., Mo, X., Hu, Y., Qi, X., Jiang, F., Jiang, Z., & Tong, S. (2020) · Pediatrics · doi:10.1542/peds.2020-0702 · Cited by 4,090
McCrindle, B. W., Rowley, A. H., Newburger, J. W., Burns, J. C., Bolger, A. F., Gewitz, M., Baker, A. L., Jackson, M. A., Takahashi, M., Shah, P. B., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000484 · Cited by 3,723
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
Hyperinflammatory shock in children during COVID-19 pandemic
Riphagen, S., Gomez, X., Gonzalez-Martinez, C., Wilkinson, N., & Theocharis, P. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31094-1 · Cited by 2,494
Verdoni, L., Mazza, A., Gervasoni, A., Martelli, L., Ruggeri, M., Ciuffreda, M., Bonanomi, E., & D'Antiga, L. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31103-x · Cited by 2,380
Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S. A., Zhang, T., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30287-5 · Cited by 1,958
Coronavirus Disease 2019 in Children — United States, February 12–April 2, 2020
CDC COVID-19 Response Team, CDC COVID-19 Response Team, Bialek, S., Gierke, R., Hughes, M., McNamara, L. A., Pilishvili, T., & Skoff, T. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6914e4 · Cited by 1,525
Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Zhang, J., Litvinova, M., Liang, Y., Wang, Y., Wang, W., Zhao, S., Wu, Q., Merler, S., Viboud, C., Vespignani, A., et al. (2020) · Science · doi:10.1126/science.abb8001 · Cited by 1,107
COVID-19 revisiting inflammatory pathways of arthritis
Schett, G., Manger, B., Simon, D., & Caporali, R. (2020) · Nature Reviews Rheumatology · doi:10.1038/s41584-020-0451-z · Cited by 191
Ouldali, N., Pouletty, M., Mariani, P., Beyler, C., Blachier, A., Bonacorsi, S., Danis, K., Chomton, M., Maurice, L., Le Bourgeois, F., et al. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30175-9 · Cited by 177
Cited by
Aging in COVID-19: Vulnerability, immunity and intervention
Chen, Y., Klein, S. L., Garibaldi, B. T., Li, H., Wu, C., Osevala, N. M., Li, T., Margolick, J. B., Pawelec, G., & Leng, S. X. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101205 · Cited by 1,007
Predictors of COVID‐19 severity: A literature review
Gallo Marin, B., Aghagoli, G., Lavine, K., Yang, L., Siff, E. J., Chiang, S. S., Salazar‐Mather, T. P., Dumenco, L., Savaria, M. C., Aung, S. N., et al. (2021) · Reviews in Medical Virology · doi:10.1002/rmv.2146 · Cited by 819
T cell responses in patients with COVID-19
Chen, Z., & John Wherry, E. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0402-6 · Cited by 797
Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients
(DeCOI), G. C.-1. O. I., Aschenbrenner, A. C., Mouktaroudi, M., Krämer, B., Oestreich, M., Antonakos, N., Nuesch-Germano, M., Gkizeli, K., Bonaguro, L., Reusch, N., et al. (2021) · Genome Medicine · doi:10.1186/s13073-020-00823-5 · Cited by 255
COVID-19 revisiting inflammatory pathways of arthritis
Schett, G., Manger, B., Simon, D., & Caporali, R. (2020) · Nature Reviews Rheumatology · doi:10.1038/s41584-020-0451-z · Cited by 191
Metadata
- Authors
- Viner, R. M., & Whittaker, E.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 395
- Issue
- 10239
- Pages
- 1741-1743
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W3025256562
- Cited by
- 503
- References
- 13
- FWCI
- 96.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Kawasaki-like disease: emerging complication during the COVID-19 pandemic. https://app.cochat.ai/papers/10.1016/s0140-6736(20)31129-6
- The paper
- Viner, R. M., & Whittaker, E. (2020). Kawasaki-like disease: emerging complication during the COVID-19 pandemic. The Lancet. https://doi.org/10.1016/s0140-6736(20)31129-6
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.