The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Umbilical cord mesenchymal stem cells for COVID-19 acute respiratory distress syndrome: A double-blind, phase 1/2a, randomized controlled trial
Open accessAbstract
Acute respiratory distress syndrome (ARDS) in COVID-19 is associated with high mortality. Mesenchymal stem cells are known to exert immunomodulatory and anti-inflammatory effects and could yield beneficial effects in COVID-19 ARDS. The objective of this study was to determine safety and explore efficacy of umbilical cord mesenchymal stem cell (UC-MSC) infusions in subjects with COVID-19 ARDS. A double-blind, phase 1/2a, randomized, controlled trial was performed. Randomization and stratification by ARDS severity was used to foster balance among groups. All subjects were analyzed under intention to treat design. Twenty-four subjects were randomized 1:1 to either UC-MSC treatment (n = 12) or the control group (n = 12). Subjects in the UC-MSC treatment group received two intravenous infusions (at day 0 and 3) of 100 ± 20 × 106 UC-MSCs; controls received two infusions of vehicle solution. Both groups received best standard of care. Primary endpoint was safety (adverse events [AEs]) within 6 hours; cardiac arrest or death within 24 hours postinfusion). Secondary endpoints included patient survival at 31 days after the first infusion and time to recovery. No difference was observed between groups in infusion-associated AEs. No serious adverse events (SAEs) were observed related to UC-MSC infusions. UC-MSC infusions in COVID-19 ARDS were found to be safe. Inflammatory cytokines were significantly decreased in UC-MSC-treated subjects at day 6. Treatment was associated with significantly improved patient survival (91% vs 42%, P = .015), SAE-free survival (P = .008), and time to recovery (P = .03). UC-MSC infusions are safe and could be beneficial in treating subjects with COVID-19 ARDS.
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A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Self-citationWu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249
Wiersinga, W. J., Rhodes, A., Cheng, A. C., Peacock, S. J., & Prescott, H. C. (2020) · JAMA · doi:10.1001/jama.2020.12839 · Cited by 4,609
Le Blanc, K., Frassoni, F., Ball, L., Locatelli, F., Roelofs, H., Lewis, I., Lanino, E., Sundberg, B., Bernardo, M. E., Remberger, M., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60690-x · Cited by 2,695
An inflammatory cytokine signature predicts COVID-19 severity and survival
Del Valle, D. M., Kim-Schulze, S., Huang, H.-H., Beckmann, N. D., Nirenberg, S., Wang, B., Lavin, Y., Swartz, T. H., Madduri, D., Stock, A., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1051-9 · Cited by 2,605
The WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group, Sterne, J. A. C., Murthy, S., Diaz, J. V., Slutsky, A. S., Villar, J., Angus, D. C., Annane, D., Azevedo, L. C. P., Berwanger, O., et al. (2020) · JAMA · doi:10.1001/jama.2020.17023 · Cited by 2,257
Longitudinal analyses reveal immunological misfiring in severe COVID-19
Lucas, C., Wong, P., Klein, J., Castro, T. B. R., Silva, J., Sundaram, M., Ellingson, M. K., Mao, T., Oh, J. E., Israelow, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2588-y · Cited by 2,074
Caplan, A. I., & Correa, D. (2011) · Cell Stem Cell · doi:10.1016/j.stem.2011.06.008 · Cited by 1,682
Self-citationBerlin, D. A., Gulick, R. M., & Martinez, F. J. (2020) · New England Journal of Medicine · doi:10.1056/nejmcp2009575 · Cited by 1,439
Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China
Wu, J. T., Leung, K., Bushman, M., Kishore, N., Niehus, R., de Salazar, P. M., Cowling, B. J., Lipsitch, M., & Leung, G. M. (2020) · Nature Medicine · doi:10.1038/s41591-020-0822-7 · Cited by 1,311
Cited by
Stem cell-based therapy for human diseases
Hoang, D. M., Pham, P. T., Bach, T. Q., Ngo, A. T. L., Nguyen, Q. T., Phan, T. T. K., Nguyen, G. H., Le, P. T. T., Hoang, V. T., Forsyth, N. R., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01134-4 · Cited by 1,074
Siemieniuk, R. A., Bartoszko, J. J., Díaz Martinez, J. P., Kum, E., Qasim, A., Zeraatkar, D., Izcovich, A., Mangala, S., Ge, L., Han, M. A., et al. (2021) · BMJ · doi:10.1136/bmj.n2231 · Cited by 79
Metadata
- Authors
- Lanzoni, G., Linetsky, E., Correa, D., Messinger Cayetano, S., Alvarez, R. A., Kouroupis, D., Alvarez Gil, A., Poggioli, R., Ruiz, P., Marttos, A. C., Hirani, K., Bell, C. A., Kusack, H., Rafkin, L., Baidal, D., Pastewski, A., Gawri, K., Leñero, C., Mantero, A. M. A., Metalonis, S. W., Wang, X., Roque, L., Masters, B., Kenyon, N. S., Ginzburg, E., Xu, X., Tan, J., Caplan, A. I., Glassberg, M. K., Alejandro, R., & Ricordi, C.
- Venue
- Stem Cells Translational Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-01-05
- Volume
- 10
- Issue
- 5
- Pages
- 660-673
- ISSN
- 2157-6564 (ISSN-L)
- 2157-6580
- OpenAlex
- W3120463228
- Cited by
- 404
- References
- 49
- FWCI
- 38.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Umbilical cord mesenchymal stem cells for COVID-19 acute respiratory distress syndrome: A double-blind, phase 1/2a, randomized controlled trial. https://app.cochat.ai/papers/10.1002/sctm.20-0472
- The paper
- Lanzoni, G., Linetsky, E., Correa, D., Messinger Cayetano, S., Alvarez, R. A., Kouroupis, D., Alvarez Gil, A., Poggioli, R., Ruiz, P., Marttos, A. C., Hirani, K., Bell, C. A., Kusack, H., Rafkin, L., Baidal, D., Pastewski, A., Gawri, K., Leñero, C., Mantero, A. M. A., . . . Ricordi, C. (2021). Umbilical cord mesenchymal stem cells for COVID-19 acute respiratory distress syndrome: A double-blind, phase 1/2a, randomized controlled trial. Stem Cells Translational Medicine. https://doi.org/10.1002/sctm.20-0472
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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.
