Evidence map›Paper›PMID 29285344›Full record

ArticleInterface focus2018

A model for the optimization of anti-inflammatory treatment with chemerin.

Simao Laranjeira, Daniel Regan-Komito, Asif J Iqbal, David R Greaves, Stephen J Payne, Piotr Orlowski

Open access · bronzeAbstract read
In one paragraph

Article in Interface focus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.7field-weighted citation impact, top 6% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Chemerin as a Driver of Hypertension: A Consideration.American journal of hypertension · 2020
    Review
  5. Adipokines and Inflammation: Focus on Cardiovascular Diseases.International journal of molecular sciences · 2020
    Review
  6. Review
  7. 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

6 authors at 1 institution in 1 country.

Simao LaranjeiraDepartment of Engineering Science, University of Oxford, Oxford, UK.
Daniel Regan-KomitoKennedy Institute of Rheumatology, University of Oxford, Oxford, UK.
Asif J IqbalSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
David R GreavesSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Stephen J PayneDepartment of Engineering Science, University of Oxford, Oxford, UK.
Piotr OrlowskiDepartment of Engineering Science, University of Oxford, Oxford, UK.ORCID 0000-0002-9737-9138
University of Oxford · GB

Funding

British Heart Foundation RG/15/10/31485
6 · The paper itself

Abstract

Routine treatment of mild to moderate pain with a combination of non-steroidal anti-inflammatory drugs such as paracetamol in combination with corticoid opioids can lead to severe complications including death from gastrointestinal injury or to drug dependence. There is a need for the development of new safer drugs. Chemerin is a mediator promoting resolution of inflammation and it is then a promising candidate for a new treatment. A pilot experimental work using the zymosan-induced peritonitis model has found that injecting extra chemerin resulted in an approximately 1% reduction in the total number of inflammatory cells recruited. This paper combines and adapts existing mathematical models of inflammation to reproduce these results and to explore the therapeutic potential of chemerin through simulations. Analysis of the model predicts that the injection of chemerin at a concentration of 2000 ng ml

Indexed as

corticosteroidsinflammationmathematical modelneutrophilsnon-steroidal anti-inflammatory drugszymosan-induced peritonitis

Identifiers

PMID29285344
PMCPMC5740220
OpenAlexW2773211988

What OpenQuestion holds

Textmetadata
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.