Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 172

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Interleukin 6 is a prognostic indicator of outcome in severe intra-abdominal sepsis

Patel, R T, Deen, K I, Youngs, D, Warwick, J, Keighley, M R B·1994·Journal of British Surgery

Abstract

Levels of plasma cytokines and circulating endotoxin were assessed in 41 patients with severe intra-abdominal sepsis. Comparison was made with the Acute Physiology And Chronic Health Evaluation (APACHE) II scoring system. Blood samples were taken within 24 h of onset of the sepsis syndrome and at serial times thereafter. Increased levels of interleukin (IL) 6 (range 50–25 500 pg/ml) were detectable in all patients with sepsis. Eighteen of the 19 deaths were attributable to sepsis and higher levels of IL-6 at the onset of the sepsis syndrome correlated with a poor outcome. The sensitivity of IL-6 concentration in predicting mortality was 86·4 per cent with a specificity of 78·9 per cent and an overall correct classification rate of 82·9 per cent. IL-6 level was a better predictor than APACHE II score (sensitivity 72·7 per cent, specificity 57·9 per cent, correct classification rate 65·9 per cent). Levels of tumour necrosis factor α, IL-1β and endotoxin did not correlate with mortality rate. Plasma IL-6 concentrations may help in planning future strategies to decrease the mortality rate associated with sepsis.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/bjs.1800810914

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Cited by

See all 172

Metadata

Authors
Patel, R. T., Deen, K. I., Youngs, D., Warwick, J., & Keighley, M. R. B.
Venue
Journal of British Surgery
Published
1994-09-01
Volume
81
Issue
9
Pages
1306-1308
ISSN
  • 0007-1323 (ISSN-L)
  • 1365-2168
OpenAlex
W2006182190
Cited by
172
References
1
FWCI
7.22
Type
journal article
Language
en
Open access
closed

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: Interleukin 6 is a prognostic indicator of outcome in severe intra-abdominal sepsis. https://app.cochat.ai/papers/10.1002/bjs.1800810914
The paper
Patel, R. T., Deen, K. I., Youngs, D., Warwick, J., & Keighley, M. R. B. (1994). Interleukin 6 is a prognostic indicator of outcome in severe intra-abdominal sepsis. Journal of British Surgery. https://doi.org/10.1002/bjs.1800810914

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.