Evidence map›Paper›PMID 30311636›Full record

ReviewBritish journal of pharmacology2019

Targeting the extracellular matrix for delivery of bioactive molecules to sites of arthritis.

Christopher Schultz

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Peptide-Based Drug Delivery Systems.Medicina (Kaunas, Lithuania) · 2021
    Review
  8. Review
  9. Review
  10. Targeting Cartilage Degradation in Osteoarthritis.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Translating the matrix.British journal of pharmacology · 2019
    Article
  15. Review
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

1 author at 1 institution in 1 country.

Christopher SchultzCentre for Biochemical Pharmacology, Queen Mary University of London, Charterhouse Square Campus, London, UK.ORCID 0000-0001-5932-805X
Queen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modifications to the extracellular matrix (ECM) can be either causal or consequential of disease processes including arthritis and cancer. In arthritis, the cartilage ECM is adversely affected by the aberrant behaviours of inflammatory cells, synoviocytes and chondrocytes, which secrete a plethora of cytokines and degradative proteases. In cancer, the ECM and stromal cells are linked to disease severity, and metalloproteinases are implicated in metastasis. There have been some successes in the field of targeted therapies, but efficacy depends upon the type and stage of disease. ECM targets are becoming increasingly attractive for drug delivery, owing to changes in ECM structure and composition in the diseased state, and the long in vivo half-life of its components. This review will highlight various strategies for targeting therapeutics to arthritic joints, including antibody and peptide-mediated drug delivery platforms to aid delivery to the ECM and retention at disease sites. 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

Drug Delivery SystemsAnimalsAntirheumatic AgentsArthritisExtracellular MatrixHumansNeoplasmsAntirheumatic Agents

Identifiers

PMID30311636
PMCPMC6284334
OpenAlexW2896389492

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.