Evidence map›Paper›PMID 29473950›Full record

ReviewBritish journal of pharmacology2019

Serine proteinases in the turnover of the cartilage extracellular matrix in the joint: implications for therapeutics.

David J Wilkinson, Maria Del Carmen Arques, Carmen Huesa, Andrew D Rowan

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  8. Exploring Placental Protein-Target Protein Interactions:Current protein & peptide science · 2025
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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

4 authors at 2 institutions in 1 country.

David J WilkinsonSkeletal Research Group, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-6262-3575
Maria Del Carmen ArquesSkeletal Research Group, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Carmen HuesaInstitute of Biomedical and Environmental Health Research, University of the West of Scotland, Paisley, UK.
Andrew D RowanSkeletal Research Group, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Newcastle University · GBUniversity of the West of Scotland · GB

Funding

Arthritis Research UK 20199Versus Arthritis 20199
6 · The paper itself

Abstract

Cartilage destruction is a key characteristic of arthritic disease, a process now widely established to be mediated by metzincins such as MMPs. Despite showing promise in preclinical trials during the 1990s, MMP inhibitors for the blockade of extracellular matrix turnover in the treatment of cancer and arthritis failed clinically, primarily due to poor selectivity for target MMPs. In recent years, roles for serine proteinases in the proteolytic cascades leading to cartilage destruction have become increasingly apparent, renewing interest in the potential for new therapeutic strategies that utilize pharmacological inhibitors against this class of proteinases. Herein, we describe key serine proteinases with likely importance in arthritic disease and highlight recent advances in this field. LINKED ARTICLES: This article is part of a themed section on Translating the Matrix. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v176.1/issuetoc.

Indexed as

AnimalsArthritisCartilageExtracellular MatrixHumansSerine ProteasesSerine Proteinase InhibitorsSerine ProteasesSerine Proteinase Inhibitors

Identifiers

PMID29473950
PMCPMC6284380
OpenAlexW2790999153

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.