Evidence map›Paper›PMID 21069525›Full record

ReviewInternational orthopaedics2011

New animal models of wear-particle osteolysis.

Jean Langlois, Moussa Hamadouche

Abstract readReview
In one paragraph

Review in International orthopaedics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Arthrotomy-based preclinical models of particle-induced osteolysis: A systematic review.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Pooled it
  2. Article
  3. Article
  4. Article
  5. The Effects of Biomaterial Implant Wear Debris on Osteoblasts.Frontiers in cell and developmental biology · 2020
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Characteristics of highly cross-linked polyethylene wear debris in vivo.Journal of biomedical materials research. Part B, Applied biomaterials · 2013
    Article
  13. Article
  14. Article
  15. 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

2 authors.

Jean LangloisDepartment of Orthopaedic and Reconstructive Surgery Service A, Centre Hospitalo-Universitaire Cochin-Port Royal, 27 Rue du Faubourg St Jacques, 75014 Paris, France. jeangast@hotmail.com
Moussa Hamadouche

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particle debris resulting from in vivo degradation of total joint replacement components are recognised as the major factor limiting the longevity of joint reconstruction and the overall success of the procedure. Better understanding the complex cellular and tissue mechanisms and interactions resulting in wear-particle osteolysis requires a number of experimental approaches, including radiological monitoring and analysis of retrieved tissues from clinical cases, in vitro experiments, and also animal-model investigations. In consideration of both their advantages and drawbacks, this paper provides an historical overview of numerous animal models that have been developed over the last three decades to investigate the pathogenesis of wear-particle osteolysis and to facilitate the preclinical testing of new treatment options. The authors also focus on recent studies in order to provide a better understanding of the current state of the art on this subject and propose some perspectives regarding technical and fundamental questions.

Indexed as

Disease Models, AnimalProsthesis FailureAnimalsDogsJoint ProsthesisMiceOsteolysisRabbitsRatsSheep

Identifiers

PMID21069525
PMCPMC3032106

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.