The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Case Fatality Rates for Patients with COVID-19 Requiring Invasive Mechanical Ventilation. A Meta-analysis
Open accessAbstract
Abstract Rationale Initial reports of case fatality rates (CFRs) among adults with coronavirus disease (COVID-19) receiving invasive mechanical ventilation (IMV) are highly variable. Objectives To examine the CFR of patients with COVID-19 receiving IMV. Methods Two authors independently searched PubMed, Embase, medRxiv, bioRxiv, the COVID-19 living systematic review, and national registry databases. The primary outcome was the “reported CFR” for patients with confirmed COVID-19 requiring IMV. “Definitive hospital CFR” for patients with outcomes at hospital discharge was also investigated. Finally, CFR was analyzed by patient age, geographic region, and study quality on the basis of the Newcastle-Ottawa Scale. Measurements and Results: Sixty-nine studies were included, describing 57,420 adult patients with COVID-19 who received IMV. Overall reported CFR was estimated as 45% (95% confidence interval [CI], 39–52%). Fifty-four of 69 studies stated whether hospital outcomes were available but provided a definitive hospital outcome on only 13,120 (22.8%) of the total IMV patient population. Among studies in which age-stratified CFR was available, pooled CFR estimates ranged from 47.9% (95% CI, 46.4–49.4%) in younger patients (age ≤40 yr) to 84.4% (95% CI, 83.3–85.4%) in older patients (age >80 yr). CFR was also higher in early COVID-19 epicenters. Overall heterogeneity is high (I2 >90%), with nonsignificant Egger’s regression test suggesting no publication bias. Conclusions Almost half of patients with COVID-19 receiving IMV died based on the reported CFR, but variable CFR reporting methods resulted in a wide range of CFRs between studies. The reported CFR was higher in older patients and in early pandemic epicenters, which may be influenced by limited ICU resources. Reporting of definitive outcomes on all patients would facilitate comparisons between studies. Systematic review registered with PROSPERO (CRD42020186997).
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Wan, X., Wang, W., Liu, J., & Tong, T. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-135 · Cited by 11,735
Effect of Dexamethasone in Hospitalized Patients with COVID-19 – Preliminary Report
Horby, P., Lim, W. S., Emberson, J., Mafham, M., Bell, J., Linsell, L., Staplin, N., Brightling, C., Ustianowski, A., Elmahi, E., et al. (2020) · doi:10.1101/2020.06.22.20137273 · Cited by 11,475 · cited 1×
“Although there have been promising therapies such as remdesivir (4) and dexamethasone (5), mechanical ventilation continues to be the mainstay of management of severe COVID-19 (6).”
BackgroundChen, Y., Wang, L., Kang, Q., Zhang, X., Yu, G., Wan, X., Wang, J., & Zhu, K. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000477308 · Cited by 10,679
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30079-5 · Cited by 10,066
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254
Acute Respiratory Distress Syndrome: The Berlin Definition
(2012) · JAMA · doi:10.1001/jama.2012.5669 · Cited by 8,731
Remdesivir for the Treatment of Covid-19 — Final Report
Beigel, J. H., Tomashek, K. M., Dodd, L. E., Mehta, A. K., Zingman, B. S., Kalil, A. C., Hohmann, E., Chu, H. Y., Luetkemeyer, A., Kline, S., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2007764 · Cited by 7,267
Cited by
CT of Post-Acute Lung Complications of COVID-19
Solomon, J. J., Heyman, B., Ko, J. P., Condos, R., & Lynch, D. A. (2021) · Radiology · doi:10.1148/radiol.2021211396 · Cited by 212
Metadata
- Authors
- Lim, Z. J., Subramaniam, A., Ponnapa Reddy, M., Blecher, G., Kadam, U., Afroz, A., Billah, B., Ashwin, S., Kubicki, M., Bilotta, F., Curtis, J. R., & Rubulotta, F.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-01-01
- Volume
- 203
- Issue
- 1
- Pages
- 54-66
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W3096704753
- Cited by
- 369
- References
- 93
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Lim, Z. J., Subramaniam, A., Ponnapa Reddy, M., Blecher, G., Kadam, U., Afroz, A., Billah, B., Ashwin, S., Kubicki, M., Bilotta, F., Curtis, J. R., & Rubulotta, F. (2021). Case Fatality Rates for Patients with COVID-19 Requiring Invasive Mechanical Ventilation. A Meta-analysis. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.202006-2405oc
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