The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Subcutaneous REGEN-COV Antibody Combination to Prevent Covid-19
Open accessAbstract
BACKGROUND: REGEN-COV (previously known as REGN-COV2), a combination of the monoclonal antibodies casirivimab and imdevimab, has been shown to markedly reduce the risk of hospitalization or death among high-risk persons with coronavirus disease 2019 (Covid-19). Whether subcutaneous REGEN-COV prevents severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and subsequent Covid-19 in persons at high risk for infection because of household exposure to a person with SARS-CoV-2 infection is unknown. METHODS: We randomly assigned, in a 1:1 ratio, participants (≥12 years of age) who were enrolled within 96 hours after a household contact received a diagnosis of SARS-CoV-2 infection to receive a total dose of 1200 mg of REGEN-COV or matching placebo administered by means of subcutaneous injection. At the time of randomization, participants were stratified according to the results of the local diagnostic assay for SARS-CoV-2 and according to age. The primary efficacy end point was the development of symptomatic SARS-CoV-2 infection through day 28 in participants who did not have SARS-CoV-2 infection (as measured by reverse-transcriptase-quantitative polymerase-chain-reaction assay) or previous immunity (seronegativity). RESULTS: copies per milliliter) was shorter (0.4 weeks and 1.3 weeks, respectively). No dose-limiting toxic effects of REGEN-COV were noted. CONCLUSIONS: Subcutaneous REGEN-COV prevented symptomatic Covid-19 and asymptomatic SARS-CoV-2 infection in previously uninfected household contacts of infected persons. Among the participants who became infected, REGEN-COV reduced the duration of symptomatic disease and the duration of a high viral load. (Funded by Regeneron Pharmaceuticals and others; ClinicalTrials.gov number, NCT04452318.).
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
A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688
Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7
Wang, P., Nair, M. S., Liu, L., Iketani, S., Luo, Y., Guo, Y., Wang, M., Yu, J., Zhang, B., Kwong, P. D., et al. (2021) · Nature · doi:10.1038/s41586-021-03398-2 · Cited by 2,312
Self-citationREGN-COV2, a Neutralizing Antibody Cocktail, in Outpatients with Covid-19
Weinreich, D. M., Sivapalasingam, S., Norton, T., Ali, S., Gao, H., Bhore, R., Musser, B. J., Soo, Y., Rofail, D., Im, J., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2035002 · Cited by 1,642
Self-citationBaum, A., Fulton, B. O., Wloga, E., Copin, R., Pascal, K. E., Russo, V., Giordano, S., Lanza, K., Negron, N., Ni, M., et al. (2020) · Science · doi:10.1126/science.abd0831 · Cited by 1,253
Self-citationHousehold Transmission of SARS-CoV-2: A Systematic Review and Meta-analysis
Madewell, Z. J., Yang, Y., Longini, I. M., Halloran, M. E., & Dean, N. E. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.31756 · Cited by 716
REGEN-COV Antibody Combination and Outcomes in Outpatients with Covid-19
Weinreich, D. M., Sivapalasingam, S., Norton, T., Ali, S., Gao, H., Bhore, R., Xiao, J., Hooper, A. T., Hamilton, J. D., Musser, B. J., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2108163 · Cited by 632
Self-citationEfficacy of the BNT162b2 mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia
Herishanu, Y., Avivi, I., Aharon, A., Shefer, G., Levi, S., Bronstein, Y., Morales, M., Ziv, T., Shorer Arbel, Y., Scarfò, L., et al. (2021) · Blood · doi:10.1182/blood.2021011568 · Cited by 614
Boyarsky, B. J., Werbel, W. A., Avery, R. K., Tobian, A. A. R., Massie, A. B., Segev, D. L., & Garonzik-Wang, J. M. (2021) · JAMA · doi:10.1001/jama.2021.4385 · Cited by 508
Grupper, A., Rabinowich, L., Schwartz, D., Schwartz, I. F., Ben-Yehoyada, M., Shashar, M., Katchman, E., Halperin, T., Turner, D., Goykhman, Y., et al. (2021) · American Journal of Transplantation · doi:10.1111/ajt.16615 · Cited by 355
Cited by
A living WHO guideline on drugs for covid-19 (2020-2023)
Agarwal, A., Hunt, B. J., Stegemann, M., Rochwerg, B., Lamontagne, F., Siemieniuk, R. A., Agoritsas, T., Askie, L., Lytvyn, L., Leo, Y.-S., et al. (2020) · BMJ · doi:10.1136/bmj.m3379 · Cited by 1,041
Self-citationGruell, H., Vanshylla, K., Tober-Lau, P., Hillus, D., Schommers, P., Lehmann, C., Kurth, F., Sander, L. E., & Klein, F. (2022) · Nature Medicine · doi:10.1038/s41591-021-01676-0 · Cited by 410
Pan, H., Peto, R., Henao Restrepo, A. M., Preziosi, M.-P., Sathiyamoorthy, V., Karim, Q. A., Alejandria, M., Hernàndez García, C., Kieny, M.-P., Malekzadeh, R., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)00519-0 · Cited by 394
Abani, O., Abbas, A., Abbas, F., Abbas, M., Abbasi, S., Abbass, H., Abbott, A., Abdallah, N., Abdelaziz, A., Abdelfattah, M., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)00163-5 · Cited by 369
Self-citationSARS-CoV-2 breakthrough infections in vaccinated individuals: measurement, causes and impact
Lipsitch, M., Krammer, F., Regev-Yochay, G., Lustig, Y., & Balicer, R. D. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-021-00662-4 · Cited by 336
Metadata
- Authors
- O’Brien, M. P., Forleo-Neto, E., Musser, B. J., Isa, F., Chan, K.-C., Sarkar, N., Bar, K. J., Barnabas, R. V., Barouch, D. H., Cohen, M. S., Hurt, C. B., Burwen, D. R., Marovich, M. A., Hou, P., Heirman, I., Davis, J. D., Turner, K. C., Ramesh, D., Mahmood, A., Hooper, A. T., Hamilton, J. D., Kim, Y., Purcell, L. A., Baum, A., Kyratsous, C. A., Krainson, J., Perez-Perez, R., Mohseni, R., Kowal, B., DiCioccio, A. T., Stahl, N., Lipsich, L., Braunstein, N., Herman, G., Yancopoulos, G. D., & Weinreich, D. M.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2021-09-23
- Volume
- 385
- Issue
- 13
- Pages
- 1184-1195
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W3187723563
- Cited by
- 447
- References
- 13
- FWCI
- 30.28
- Type
- journal article
- Language
- en
- Open access
- green
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: Subcutaneous REGEN-COV Antibody Combination to Prevent Covid-19. https://app.cochat.ai/papers/10.1056/nejmoa2109682
- The paper
- O’Brien, M. P., Forleo-Neto, E., Musser, B. J., Isa, F., Chan, K.-C., Sarkar, N., Bar, K. J., Barnabas, R. V., Barouch, D. H., Cohen, M. S., Hurt, C. B., Burwen, D. R., Marovich, M. A., Hou, P., Heirman, I., Davis, J. D., Turner, K. C., Ramesh, D., Mahmood, A., . . . Weinreich, D. M. (2021). Subcutaneous REGEN-COV Antibody Combination to Prevent Covid-19. New England Journal of Medicine. https://doi.org/10.1056/nejmoa2109682
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.
