Evidence map›Paper›PMID 38672079›Full record

ArticleBiomedicines2024

Using the Traditional Ex Vivo Whole Blood Model to Discriminate Bacteria by Their Inducible Host Responses.

Heather M Chick, Megan E Rees, Matthew L Lewis, Lisa K Williams, Owen Bodger, Llinos G Harris, Steven Rushton, Thomas S Wilkinson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Applied and environmental microbiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Heather M ChickMicrobiology and Infectious Disease, Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK.ORCID 0000-0002-5387-003X
Megan E ReesMicrobiology and Infectious Disease, Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK.ORCID 0000-0003-3527-9411
Matthew L LewisMicrobiology and Infectious Disease, Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK.
Lisa K WilliamsMicrobiology and Infectious Disease, Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK.
Owen BodgerPatient and Population Health an Informatics Research, Swansea University Medical School, Swansea SA2 8PP, UK.
Llinos G HarrisMicrobiology and Infectious Disease, Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK.ORCID 0000-0002-0295-3038
Steven RushtonSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
Thomas S WilkinsonMicrobiology and Infectious Disease, Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK.ORCID 0000-0003-0397-6079

Funding

a Health Care Research Wales PhD studentship for MLL awarded to TSW (HCRW-HS-18-32)a Swansea University scholarship for HMC awarded to TSWpartially funded by a BBSRC grant awarded to TSW (BB0191421/1)
6 · The paper itself

Abstract

Whole blood models are rapid and versatile for determining immune responses to inflammatory and infectious stimuli, but they have not been used for bacterial discrimination.

Indexed as

bacterial discriminationEscherichia coliex vivo whole blood modelshost immune responsesmultivariate analysispair-wise comparisonStaphylococcus aureusStaphylococcus epidermidis

Identifiers

PMID38672079
PMCPMC11047930

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.