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Cited by 507

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

An Integrated Clinico-Metabolomic Model Improves Prediction of Death in Sepsis

Open access
Langley, Raymond J., Tsalik, Ephraim L., Velkinburgh, Jennifer C. van, Glickman, Seth W., Rice, Brandon J., Wang, Chunping, Chen, Bo, Carin, Lawrence, Suarez, Arturo, Mohney, Robert P., Freeman, Debra H., Wang, Mu, You, Jinsam, Wulff, Jacob, Thompson, J. Will, Moseley, M. Arthur, Reisinger, Stephanie, Edmonds, Brian T., Grinnell, Brian, Nelson, David R., Dinwiddie, Darrell L., Miller, Neil A., Saunders, Carol J., Soden, Sarah S., Rogers, Angela J., Gazourian, Lee, Fredenburgh, Laura E., Massaro, Anthony F., Baron, Rebecca M., Choi, Augustine M. K., Corey, G. Ralph, Ginsburg, Geoffrey S., Cairns, Charles B., Otero, Ronny M., Fowler, Vance G., Rivers, Emanuel P., Woods, Christopher W., Kingsmore, Stephen F.·2013·Science Translational Medicine

Abstract

A molecular signature, derived from integrated analysis of clinical data, the metabolome, and the proteome in prospective human studies, improved the prediction of death in patients with sepsis, potentially identifying a subset of patients who merit intensive treatment.

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Registry

Crossref · 10.1126/scitranslmed.3005893

Cites

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Metadata

Authors
Langley, R. J., Tsalik, E. L., Velkinburgh, J. C. V., Glickman, S. W., Rice, B. J., Wang, C., Chen, B., Carin, L., Suarez, A., Mohney, R. P., Freeman, D. H., Wang, M., You, J., Wulff, J., Thompson, J. W., Moseley, M. A., Reisinger, S., Edmonds, B. T., Grinnell, B., Nelson, D. R., Dinwiddie, D. L., Miller, N. A., Saunders, C. J., Soden, S. S., Rogers, A. J., Gazourian, L., Fredenburgh, L. E., Massaro, A. F., Baron, R. M., Choi, A. M. K., Corey, G. R., Ginsburg, G. S., Cairns, C. B., Otero, R. M., Fowler, V. G., Rivers, E. P., Woods, C. W., & Kingsmore, S. F.
Venue
Science Translational Medicine
Published
2013-07-24
Volume
5
Issue
195
Pages
195ra95-195ra95
ISSN
  • 1946-6234 (ISSN-L)
  • 1946-6242
OpenAlex
W2141151213
Cited by
507
References
94
FWCI
20.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An Integrated Clinico-Metabolomic Model Improves Prediction of Death in Sepsis. https://app.cochat.ai/papers/10.1126/scitranslmed.3005893
The paper
Langley, R. J., Tsalik, E. L., Velkinburgh, J. C. V., Glickman, S. W., Rice, B. J., Wang, C., Chen, B., Carin, L., Suarez, A., Mohney, R. P., Freeman, D. H., Wang, M., You, J., Wulff, J., Thompson, J. W., Moseley, M. A., Reisinger, S., Edmonds, B. T., Grinnell, B., . . . Kingsmore, S. F. (2013). An Integrated Clinico-Metabolomic Model Improves Prediction of Death in Sepsis. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.3005893

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.