The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Corticosteroid treatment of patients with coronavirus disease 2019 ( COVID ‐19)
Open accessAbstract
OBJECTIVES: To assess the efficacy of corticosteroid treatment of patients with coronavirus disease 2019 (COVID-19). DESIGN, SETTING: Observational study in the two COVID-19-designated hospitals in Wuhu, Anhui province, China, 24 January - 24 February 2020. PARTICIPANTS: Thirty-one patients infected with the severe acute respiratory coronavirus 2 (SARS-CoV-2) treated at the two designated hospitals. MAIN OUTCOME MEASURES: Virus clearance time, length of hospital stay, and duration of symptoms, by treatment type (including or not including corticosteroid therapy). RESULTS: Eleven of 31 patients with COVID-19 received corticosteroid treatment. Cox proportional hazards regression analysis indicated no association between corticosteroid treatment and virus clearance time (hazard ratio [HR], 1.26; 95% CI, 0.58-2.74), hospital length of stay (HR, 0.77; 95% CI, 0.33-1.78), or duration of symptoms (HR, 0.86; 95% CI, 0.40-1.83). Univariate analysis indicated that virus clearance was slower in two patients with chronic hepatitis B infections (mean difference, 10.6 days; 95% CI, 6.2-15.1 days). CONCLUSIONS: Corticosteroids are widely used when treating patients with COVID-19, but we found no association between therapy and outcomes in patients without acute respiratory distress syndrome. An existing HBV infection may delay SARS-CoV-2 clearance, and this association should be further investigated.
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
Cites
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
First case of 2019 novel coronavirus in the United States
Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030
Cited by
Immunology of COVID-19: Current State of the Science
Vabret, N., Britton, G. J., Gruber, C., Hegde, S., Kim, J., Kuksin, M., Levantovsky, R., Malle, L., Moreira, A., Park, M. D., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.05.002 · Cited by 1,623
Cytokine Storm in COVID-19: The Current Evidence and Treatment Strategies
Tang, Y., Liu, J., Zhang, D., Xu, Z., Ji, J., & Wen, C. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01708 · Cited by 1,094
Monedero, P., Gea, A., Castro, P., Candela-Toha, A. M., Hernández-Sanz, M. L., Arruti, E., Villar, J., Ferrando, C., the COVID-19 Spanish ICU Network, Monedero, P., et al. (2021) · Critical Care · doi:10.1186/s13054-020-03422-3 · Cited by 90
Metadata
- Authors
- Zha, L., Li, S., Pan, L., Tefsen, B., Li, Y., French, N., Chen, L., Yang, G., & Villanueva, E. V.
- Venue
- Medical Journal of Australia
- Publisher
- AMPCo
- Published
- 2020-04-08
- Volume
- 212
- Issue
- 9
- Pages
- 416-420
- ISSN
- 0025-729X (ISSN-L)
- 1326-5377
- OpenAlex
- W3015035592
- Cited by
- 344
- References
- 4
- FWCI
- 9.99
- 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: Corticosteroid treatment of patients with coronavirus disease 2019 ( COVID ‐19). https://app.cochat.ai/papers/10.5694/mja2.50577
- The paper
- Zha, L., Li, S., Pan, L., Tefsen, B., Li, Y., French, N., Chen, L., Yang, G., & Villanueva, E. V. (2020). Corticosteroid treatment of patients with coronavirus disease 2019 ( COVID ‐19). Medical Journal of Australia. https://doi.org/10.5694/mja2.50577
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.