The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Peak plasma interleukin-6 and other peripheral markers of inflammation in the first week of ischaemic stroke correlate with brain infarct volume, stroke severity and long-term outcome
Open accessAbstract
BACKGROUND: Cerebral ischaemia initiates an inflammatory response in the brain and periphery. We assessed the relationship between peak values of plasma interleukin-6 (IL-6) in the first week after ischaemic stroke, with measures of stroke severity and outcome. METHODS: Thirty-seven patients with ischaemic stroke were prospectively recruited. Plasma IL-6, and other markers of peripheral inflammation, were measured at pre-determined timepoints in the first week after stroke onset. Primary analyses were the association between peak plasma IL-6 concentration with both modified Rankin score (mRS) at 3 months and computed tomography (CT) brain infarct volume. RESULTS: Peak plasma IL-6 concentration correlated significantly (p < 0.001) with CT brain infarct volume (r = 0.75) and mRS at 3 months (r = 0.72). It correlated similarly with clinical outcome at 12 months or stroke severity. Strong associations were also noted between either peak plasma C-reactive protein (CRP) concentration or white blood cell (WBC) count, and all outcome measures. CONCLUSIONS: These data provide evidence that the magnitude of the peripheral inflammatory response is related to the severity of acute ischaemic stroke, and clinical outcome.
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
Interobserver agreement for the assessment of handicap in stroke patients
van Swieten, J. C., Koudstaal, P. J., Visser, M. C., Schouten, H. J., & van Gijn, J. (1988) · Stroke · doi:10.1161/01.str.19.5.604 · Cited by 6,512
The Hypothalamic–Pituitary–Adrenal Axis and Immune-Mediated Inflammation
Chrousos, G. P. (1995) · New England Journal of Medicine · doi:10.1056/nejm199505183322008 · Cited by 2,579
Schindler, R., Mancilla, J., Endres, S., Ghorbani, R., Clark, S., & Dinarello, C. (1990) · Blood · doi:10.1182/blood.v75.1.40.40 · Cited by 1,012
The many faces of tumor necrosis factor in stroke
Hallenbeck, J. M. (2002) · Nature Medicine · doi:10.1038/nm1202-1363 · Cited by 367
Self-citation
Cited by
The immunology of stroke: from mechanisms to translation
Iadecola, C., & Anrather, J. (2011) · Nature Medicine · doi:10.1038/nm.2399 · Cited by 2,596
Signaling pathways involved in ischemic stroke: molecular mechanisms and therapeutic interventions
Qin, C., Yang, S., Chu, Y.-H., Zhang, H., Pang, X.-W., Chen, L., Zhou, L.-Q., Chen, M., Tian, D.-S., & Wang, W. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01064-1 · Cited by 939
Inflammatory Cytokines in Experimental and Human Stroke
Lambertsen, K. L., Biber, K., & Finsen, B. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.88 · Cited by 732
Wolkowitz, O. M., Mellon, S. H., Epel, E. S., Lin, J., Dhabhar, F. S., Su, Y., Reus, V. I., Rosser, R., Burke, H. M., Kupferman, E., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017837 · Cited by 421
McColl, B. W., Rothwell, N. J., & Allan, S. M. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5376-06.2007 · Cited by 337
Self-citation
Metadata
- Authors
- Smith, C. J., Emsley, H. C., Gavin, C. M., Georgiou, R. F., Vail, A., Barberan, E. M., del Zoppo, G. J., Hallenbeck, J. M., Rothwell, N. J., Hopkins, S. J., & Tyrrell, P. J.
- Venue
- BMC Neurology
- Published
- 2004-01-15
- Volume
- 4
- Issue
- 1
- Pages
- 2-2
- ISSN
- 1471-2377 (ISSN-L)
- OpenAlex
- W2134088303
- Cited by
- 480
- References
- 4
- FWCI
- 15.76
- Type
- journal article
- Language
- en
- Open access
- gold
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: Peak plasma interleukin-6 and other peripheral markers of inflammation in the first week of ischaemic stroke correlate with brain infarct volume, stroke severity and long-term outcome. https://app.cochat.ai/papers/10.1186/1471-2377-4-2
- The paper
- Smith, C. J., Emsley, H. C., Gavin, C. M., Georgiou, R. F., Vail, A., Barberan, E. M., del Zoppo, G. J., Hallenbeck, J. M., Rothwell, N. J., Hopkins, S. J., & Tyrrell, P. J. (2004). Peak plasma interleukin-6 and other peripheral markers of inflammation in the first week of ischaemic stroke correlate with brain infarct volume, stroke severity and long-term outcome. BMC Neurology. https://doi.org/10.1186/1471-2377-4-2
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.