Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 215

The DOI matches its Crossref record.

The Epidemiology of Sepsis

Hodgin, Katherine, Moss, Marc·2008·Current Pharmaceutical Design

Abstract

Sepsis is a common and devastating syndrome that represents a significant healthcare burden worldwide. The average annual cost to care for patients with sepsis has been estimated to being $16.7 billion. Uniform definitions have been developed for the spectrum of sepsis syndrome, including the systemic inflammatory response syndrome (SIRS), sepsis, severe sepsis and septic shock. SIRS describes the clinical manifestations derived from an acute yet nonspecific illness, whereas an infectious etiology is required for the diagnosis of sepsis. As sepsis progresses, organ system dysfunction becomes apparent (severe sepsis) with the final development of fluid refractory cardiovascular dysfunction (septic shock). Pulmonary, gastrointestinal, genitourinary, and primary bloodstream infections account for the majority of infectious sources in septic patients. Since 1987, gram positive bacteria have become the most common organisms responsible for the development of sepsis. Several risk factors for the development of sepsis have been identified including male sex, race, age, comorbid medical conditions, alcohol abuse, and a lower socioeconomic status. Seasonal variations also exist, with sepsis being more common in the winter months. Fortunately, the case fatality rates for both sepsis and severe sepsis have diminished over the last two decades. However, patients who survive their episode of sepsis continue to have increased morbidity and mortality up to five years after their initial illness.

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 · 10.2174/138161208784980590

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.

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

Cited by

See all 215

Metadata

Authors
Hodgin, K., & Moss, M.
Venue
Current Pharmaceutical Design
Published
2008-07-01
Volume
14
Issue
19
Pages
1833-1839
ISSN
1381-6128 (ISSN-L)
OpenAlex
W1969475605
Cited by
215
References
0
FWCI
17.96
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: The Epidemiology of Sepsis. https://app.cochat.ai/papers/10.2174/138161208784980590
The paper
Hodgin, K., & Moss, M. (2008). The Epidemiology of Sepsis. Current Pharmaceutical Design. https://doi.org/10.2174/138161208784980590

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.