Evidence map›Paper›PMID 27965138›Full record

ReviewOsteoarthritis and cartilage2017

The STR/ort mouse model of spontaneous osteoarthritis - an update.

K A Staines, B Poulet, D N Wentworth, A A Pitsillides

Abstract readReview
In one paragraph

Review in Osteoarthritis and cartilage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors.

K A StainesRoslin Institute and R(D)SVS, The University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK; School of Applied Sciences, Edinburgh Napier University, Sighthill Campus, Edinburgh, EH11 4BN, UK. Electronic address: Katherine.staines@roslin.ed.ac.uk.
B PouletInstitute of Ageing and Chronic Diseases, Musculoskeletal Biology 1, University of Liverpool, Room 286, Second Floor, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK. Electronic address: b.poulet@liverpool.ac.uk.
D N WentworthThe Royal Veterinary College, Royal College Street, London, NW1 0TU, UK. Electronic address: diorbhail@hotmail.co.uk.
A A PitsillidesThe Royal Veterinary College, Royal College Street, London, NW1 0TU, UK. Electronic address: apitsillides@rvc.ac.uk.

Funding

Arthritis Research UK 20258Arthritis Research UK 20413Versus Arthritis 20581Versus Arthritis 20859
6 · The paper itself

Abstract

Osteoarthritis is a degenerative joint disease and a world-wide healthcare burden. Characterized by cartilage degradation, subchondral bone thickening and osteophyte formation, osteoarthritis inflicts much pain and suffering, for which there are currently no disease-modifying treatments available. Mouse models of osteoarthritis are proving critical in advancing our understanding of the underpinning molecular mechanisms. The STR/ort mouse is a well-recognized model which develops a natural form of osteoarthritis very similar to the human disease. In this Review we discuss the use of the STR/ort mouse in understanding this multifactorial disease with an emphasis on recent advances in its genetics and its bone, endochondral and immune phenotypes.

Indexed as

Disease Models, AnimalMicePhenotypeAnimalsMice, Inbred StrainsOsteoarthritisArticular cartilageOsteoarthritisSTR/ortSubchondral bone

Identifiers

PMID27965138
PMCPMC5446355

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.