Evidence map›Paper›PMID 37204303›Full record

ArticleeLife2023

RANK

Weixin Zhang, Kathleen Noller, Janet Crane, Mei Wan, Xiaojun Wu, Patrick Cahan, Xu Cao

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  12. RANKeLife · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Weixin Zhang *Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, United States.ORCID https://orcid.org/0000-0002-1009-101X
Kathleen Noller *Department of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID https://orcid.org/0000-0001-7915-3269
Janet CraneDepartment of Orthopaedic Surgery, Johns Hopkins University, Baltimore, United States.
Mei WanDepartment of Orthopaedic Surgery, Johns Hopkins University, Baltimore, United States.ORCID https://orcid.org/0000-0001-9404-540X
Xiaojun WuDepartment of Pathology, Johns Hopkins Medical Institutions, Washington, United States.
Patrick CahanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
Xu CaoDepartment of Orthopaedic Surgery, Johns Hopkins University, Baltimore, United States.ORCID https://orcid.org/0000-0001-8614-6059
Johns Hopkins University · USZhejiang Chinese Medical University · CN

Funding

Skeleton and Joint Degeneration with AgingP01AG066603 · NIA · JOHNS HOPKINS UNIVERSITY · PI CAO, XU · 2021 to 2025
$9.2M
Subchondral Bone Cavities in Osteoarthritis PainRF1AG068997 · NIA · JOHNS HOPKINS UNIVERSITY · PI CAO, XU, GUAN, YUN · 2020 to 2020
$2.5M
Sialylation of TLR2 Induces Osteoclast Fusion and Th 17 differentiation During AgingR01AG076783 · NIA · JOHNS HOPKINS UNIVERSITY · PI Xu Cao · 2022 to 2026
$2.4M
Subchondral Bone Cavities in Osteoarthritis PainR01AG068997 · NIA · JOHNS HOPKINS UNIVERSITY · PI CAO, XU, GUAN, YUN · 2024 to 2024
$621k
NIA NIH HHS P01 AG066603NIA NIH HHS R01 AG068997NIA NIH HHS R01 AG076783NIA NIH HHS RF1 AG068997
6 · The paper itself

Abstract

Joint destruction is the major clinic burden in patients with rheumatoid arthritis (RA). It is unclear, though, how this autoimmune disease progresses to the point of deterioration of the joint. Here, we report that in a mouse model of RA the upregulation of TLR2 expression and its α(2,3) sialylation in RANK

Indexed as

Arthritis, RheumatoidBone ResorptionAnimalsCell DifferentiationMiceOsteoclastsRANK LigandToll-Like Receptor 2RANK LigandToll-Like Receptor 2fusionfusion; rheumatoid arthritismedicineosteoclastrheumatoid arthritissialylationtoll-like receptor 2

Identifiers

PMID37204303
PMCPMC10299822
OpenAlexW4377094907

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.