Evidence map›Paper›PMID 35859614›Full record

ReviewOpen life sciences2022

Effect of cell receptors in the pathogenesis of osteoarthritis: Current insights.

Li Lei, Li Meng, Xu Changqing, Zhu Chen, Yao Gang, Fang Shiyuan

Open access · goldAbstract readReview
In one paragraph

Review in Open life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Li LeiDepartment of Orthopaedics, The First Affiliated Hospital of University of Science and Technology of China, 17 Lujiang Road, Hefei, Anhui, China.
Li MengDepartment of Orthopaedics, The First Affiliated Hospital of University of Science and Technology of China, 17 Lujiang Road, Hefei, Anhui, China.
Xu ChangqingDepartment of Orthopaedics, Dongxihu District People's Hospital Affiliated to Huazhong University of Science and Technology, Wuhan, China.
Zhu ChenDepartment of Orthopaedics, The First Affiliated Hospital of University of Science and Technology of China, 17 Lujiang Road, Hefei, Anhui, China.
Yao GangDepartment of Orthopaedics, The First Affiliated Hospital of University of Science and Technology of China, 17 Lujiang Road, Hefei, Anhui, China.
Fang ShiyuanDepartment of Orthopaedics, The First Affiliated Hospital of University of Science and Technology of China, 17 Lujiang Road, Hefei, Anhui, China.
University of Science and Technology of China · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a chronic arthritic disease characterized by cartilage degradation, synovial inflammation, and subchondral bone lesions. The studies on the pathogenesis of OA are complex and diverse. The roles of receptors signaling in chondrocyte anabolism, inflammatory factors expression of synovial fibroblast, and angiogenesis in subchondral bone are particularly important for exploring the pathological mechanism of OA and clinical diagnosis and treatment. By reviewing the relevant literature, this article elaborates on the abnormal expression of receptors and the signaling transduction pathways from different pathological changes of OA anatomical components, aiming to provide new research ideas and clinical therapeutic value for OA pathogenesis.

Indexed as

cartilageosteoarthritisreceptorsubchondral bonesynovium

Identifiers

PMID35859614
PMCPMC9267313
OpenAlexW4285281118

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.