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Cited by 351

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Extracorporeal Life Support: The University of Michigan Experience

Bartlett, Robert H., Roloff, Dietrich W., Custer, Joseph R., Younger, John G., Hirschl, Ronald B.·2000·JAMA

Abstract

The University of Michigan experience with extracorporeal life support (ECLS) in 1000 consecutive patients between 1980 and 1998 is the largest series at one institution in the world. Among this patient population, survival to hospital discharge in moribund patients with respiratory failure was 88% in 586 neonates, 70% in 132 children, and 56% in 146 adults. Survival in moribund patients with cardiac failure was 48% in 105 children and 33% in 31 adults. This article describes the University of Michigan's overall ECLS patient experience, the progression of ECLS from laboratory experiments to clinical application at the bedside, the expansion of the technology to other centers, and current ECLS technology and outcomes. Despite the challenges faced in clinical research in this field, our experience and that of others has shown that ECLS saves lives of patients with acute cardiac or pulmonary failure in a variety of clinical settings.

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Metadata

Authors
Bartlett, R. H., Roloff, D. W., Custer, J. R., Younger, J. G., & Hirschl, R. B.
Venue
JAMA
Published
2000-02-16
Volume
283
Issue
7
Pages
904
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2009505981
Cited by
351
References
15
FWCI
12.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extracorporeal Life Support: The University of Michigan Experience. https://app.cochat.ai/papers/10.1001/jama.283.7.904
The paper
Bartlett, R. H., Roloff, D. W., Custer, J. R., Younger, J. G., & Hirschl, R. B. (2000). Extracorporeal Life Support: The University of Michigan Experience. JAMA. https://doi.org/10.1001/jama.283.7.904

Data sources

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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.