Evidence map›Paper›PMID 34316066›Full record

ReviewNature reviews. Rheumatology2021

Hypertension meets osteoarthritis - revisiting the vascular aetiology hypothesis.

Karen Ching, Xavier Houard, Francis Berenbaum, Chunyi Wen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 98 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Karen ChingDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.ORCID http://orcid.org/0000-0002-5031-6500
Xavier HouardSorbonne Université, INSERM, Centre de Recherche Saint-Antoine, Paris, France.
Francis BerenbaumSorbonne Université, INSERM, Centre de Recherche Saint-Antoine, Paris, France.
Chunyi WenDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China. chunyi.wen@polyu.edu.hk.ORCID http://orcid.org/0000-0003-1949-7822
Hong Kong Polytechnic University · HKInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a whole-joint disease characterized by subchondral bone perfusion abnormalities and neovascular invasion into the synovium and articular cartilage. In addition to local vascular disturbance, mounting evidence suggests a pivotal role for systemic vascular pathology in the aetiology of OA. This Review outlines the current understanding of the close relationship between high blood pressure (hypertension) and OA at the crossroads of epidemiology and molecular biology. As one of the most common comorbidities in patients with OA, hypertension can disrupt joint homeostasis both biophysically and biochemically. High blood pressure can increase intraosseous pressure and cause hypoxia, which in turn triggers subchondral bone and osteochondral junction remodelling. Furthermore, systemic activation of the renin-angiotensin and endothelin systems can affect the Wnt-β-catenin signalling pathway locally to govern joint disease. The intimate relationship between hypertension and OA indicates that endothelium-targeted strategies, including re-purposed FDA-approved antihypertensive drugs, could be useful in the treatment of OA.

Indexed as

AnimalsBone and BonesHumansHypertensionJointsModels, BiologicalOsteoarthritisSynovial Membrane

Identifiers

PMID34316066
OpenAlexW3185221552

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.