Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 322

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Immunopathophysiology of human sepsis

Open access
Wiersinga, W. Joost, van der Poll, Tom·2022·eBioMedicine

Abstract

Sepsis is an ill-defined syndrome yet is a leading cause of morbidity and mortality worldwide. The most recent consensus defines sepsis as life-threatening organ dysfunction caused by a dysregulated host response to infection. However, this definition belies the complexity and breadth of immune mechanisms involved in sepsis, which are characterized by simultaneous hyperinflammation and immune suppression. In this review, we describe the immunopathogenesis of sepsis and highlight some recent pathophysiological findings that have expanded our understanding of sepsis. Sepsis endotypes can be used to divide sepsis patients in different groups with distinct immune profiles and outcomes. We also summarize evidence on the role of the gut microbiome in sepsis immunity. The challenge of the coming years will be to translate our increasing knowledge about the molecular mechanisms underlying sepsis into therapies that improve relevant patient outcomes.

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 · 10.1016/j.ebiom.2022.104363

Cites

83 of 83 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 83 references

Research works printed but not linked: 2

  1. van der Poll, 2019, Chapter 73: sepsis and septic shock
  2. Anh, 2019, Viruses in Vietnamese patients presenting with community-acquired sepsis of unknown cause, J Clin Microbiol, 57, 10.1128/JCM.00386-19 · doi:10.1128/jcm.00386-19

Cited by

See all 322

Metadata

Authors
Wiersinga, W. J., & van der Poll, T.
Venue
eBioMedicine
Publisher
Elsevier BV
Published
2022-12
Volume
86
Pages
104363
ISSN
2352-3964 (ISSN-L)
OpenAlex
W4310772912
Cited by
322
References
83
FWCI
31.54
Type
journal article
Language
en
Open access
gold
Licence
Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (91716475)

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: Immunopathophysiology of human sepsis. https://app.cochat.ai/papers/10.1016/j.ebiom.2022.104363
The paper
Wiersinga, W. J., & van der Poll, T. (2022). Immunopathophysiology of human sepsis. eBioMedicine. https://doi.org/10.1016/j.ebiom.2022.104363

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.