The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set
Open accessAbstract
Five publicly available gene expression cohorts comparing SIRS/trauma to sepsis were split into time-matched subcohorts and summarized via multicohort analysis, which yielded an 11-gene set that was validated for discriminating patients with sepsis or infection in 15 independent cohorts.
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
Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology · doi:10.1186/gb-2002-3-7-research0034 · Cited by 20,038
Angus, D. C., Linde-Zwirble, W. T., Lidicker, J., Clermont, G., Carcillo, J., & Pinsky, M. R. (2001) · Critical Care Medicine · doi:10.1097/00003246-200107000-00002 · Cited by 8,503
Myeloid-derived-suppressor cells as regulators of the immune system
Gabrilovich, D. I., & Nagaraj, S. (2009) · Nature Reviews Immunology · doi:10.1038/nri2506 · Cited by 6,753
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231
Genomic responses in mouse models poorly mimic human inflammatory diseases
Seok, J., Warren, H. S., Cuenca, A. G., Mindrinos, M. N., Baker, H. V., Xu, W., Richards, D. R., McDonald-Smith, G. P., Gao, H., Hennessy, L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222878110 · Cited by 3,005
Martinez, F. O., Gordon, S., Locati, M., & Mantovani, A. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.177.10.7303 · Cited by 2,125
An interferon-inducible neutrophil-driven blood transcriptional signature in human tuberculosis
Berry, M. P. R., Graham, C. M., McNab, F. W., Xu, Z., Bloch, S. A. A., Oni, T., Wilkinson, K. A., Banchereau, R., Skinner, J., Wilkinson, R. J., et al. (2010) · Nature · doi:10.1038/nature09247 · Cited by 1,898
Signaling in innate immunity and inflammation
Newton, K., & Dixit, V. M. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a006049 · Cited by 1,513
Ferrer, R., Martin-Loeches, I., Phillips, G., Osborn, T. M., Townsend, S., Dellinger, R. P., Artigas, A., Schorr, C., & Levy, M. M. (2014) · Critical Care Medicine · doi:10.1097/ccm.0000000000000330 · Cited by 1,480
A genomic storm in critically injured humans
Xiao, W., Mindrinos, M. N., Seok, J., Cuschieri, J., Cuenca, A. G., Gao, H., Hayden, D. L., Hennessy, L., Moore, E. E., Minei, J. P., et al. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20111354 · Cited by 1,216
Cited by
Hotchkiss, R. S., Moldawer, L. L., Opal, S. M., Reinhart, K., Turnbull, I. R., & Vincent, J.-L. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.45 · Cited by 1,620
An immune-cell signature of bacterial sepsis
Reyes, M., Filbin, M. R., Bhattacharyya, R. P., Billman, K., Eisenhaure, T., Hung, D. T., Levy, B. D., Baron, R. M., Blainey, P. C., Goldberg, M. B., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0752-4 · Cited by 489
Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis
Sweeney, T. E., Braviak, L., Tato, C. M., & Khatri, P. (2016) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(16)00048-5 · Cited by 445
Self-citationSweeney, T. E., Wong, H. R., & Khatri, P. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf7165 · Cited by 334
Self-citationThe Clinical Challenge of Sepsis Identification and Monitoring
Vincent, J.-L. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002022 · Cited by 259
Metadata
- Authors
- Sweeney, T. E., Shidham, A., Wong, H. R., & Khatri, P.
- Venue
- Science Translational Medicine
- Published
- 2015-05-13
- Volume
- 7
- Issue
- 287
- Pages
- 287ra71-287ra71
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2114325274
- Cited by
- 332
- References
- 72
- FWCI
- 23.16
- 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: A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set. https://app.cochat.ai/papers/10.1126/scitranslmed.aaa5993
- The paper
- Sweeney, T. E., Shidham, A., Wong, H. R., & Khatri, P. (2015). A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.aaa5993
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.
