Evidence map›Paper›PMID 31177815›Full record

ReviewCartilage2021

Targeting Discoidin Domain Receptor 2 for the Development of Disease-Modifying Osteoarthritis Drugs.

Li Xiao, Chenlu Liu, Beiyu Wang, Wei Fei, Yandong Mu, Lin Xu, Yefu Li

Abstract readReview
In one paragraph

Review in Cartilage, 2021. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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  7. 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

7 authors.

Li XiaoDepartment of Stomatology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Chenlu LiuDepartment of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, USA.
Beiyu WangDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wei FeiDepartment of Stomatology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Yandong MuDepartment of Stomatology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Lin XuDepartment of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, USA.ORCID 0000-0002-3144-2640
Yefu LiDepartment of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, USA.

Funding

Role of DDR2 in OA-like Pathogenesis in OsteochondrodysplasiasR01AR051989 · NIAMS · HARVARD MEDICAL SCHOOL · PI LI, YEFU · 2006 to 2010
$1.5M
NIAMS NIH HHS R01 AR051989
6 · The paper itself

Abstract

One of the most pressing issues in osteoarthritis (OA) research is the development of disease-modifying OA drugs (DMOADs), as currently there are no such drugs available. The paucity of suitable DMOADs is mostly due to the lack of approved ideal therapeutic targets necessary for the development of these drugs. However, based on recent discoveries from our laboratory and other independent laboratories, it is indicated that a cell surface receptor tyrosine kinase for collagen type II, discoidin domain receptor 2 (DDR2), may be an ideal therapeutic target for the development of DMOADs. In this article, we review the current status of research in understanding roles of DDR2 in the development of OA.

Indexed as

Cartilage, ArticularDiscoidin Domain Receptor 2OsteoarthritisDiscoidin Domain ReceptorsHumansMatrix Metalloproteinase 13Receptors, MitogenDiscoidin Domain Receptor 2Discoidin Domain ReceptorsMatrix Metalloproteinase 13Receptors, Mitogenarticular cartilagechondrocytesdiscoidin domain receptor 2matrix metalloproteinase-13osteoarthritis

Identifiers

PMID31177815
PMCPMC8804771

What OpenQuestion holds

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Registered trials

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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.