Evidence map›Paper›PMID 34622126›Full record

ArticleRheumatology advances in practice2021

Novel application of optical coherence tomography and capillaroscopy in psoriatic arthritis in relationship to psoriasis and hand osteoarthritis.

Jørgen Guldberg-Møller, Marius Henriksen, Karen Ellegaard, Merete Haedersdal, Luna T Lazar, Lars Erik Kristensen, Mette Mogensen

Open access · goldAbstract read
In one paragraph

Article in Rheumatology advances in practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Jørgen Guldberg-MøllerThe Parker Institute, Bispebjerg and Frederiksberg University Hospitals.ORCID https://orcid.org/0000-0002-6521-5825
Marius HenriksenThe Parker Institute, Bispebjerg and Frederiksberg University Hospitals.
Karen EllegaardThe Parker Institute, Bispebjerg and Frederiksberg University Hospitals.
Merete HaedersdalDepartment of Dermatology, University Hospitals of Copenhagen, Bispebjerg and Frederiksberg Copenhagen, Denmark.
Luna T LazarDepartment of Dermatology, University Hospitals of Copenhagen, Bispebjerg and Frederiksberg Copenhagen, Denmark.
Lars Erik KristensenThe Parker Institute, Bispebjerg and Frederiksberg University Hospitals.
Mette MogensenDepartment of Dermatology, University Hospitals of Copenhagen, Bispebjerg and Frederiksberg Copenhagen, Denmark.
Frederiksberg Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNailfold video capillaroscopy (NVC) and angiographic optical coherence tomography (OCTA) have potential in diagnosing PsA and differentiating it from psoriasis vulgaris (PsO) and hand OA. We aimed to assess the diagnostic properties of NVC and OCTA in patients with PsA compared with patients with PsO and hand OA based on nailfold capillary patterns.

methodsPatients with DIP joint PsA and nail involvement (

resultsBelow mean capillary density and reduced nailfold blood flow in OCTA images distinguished PsA from both PsO (

conclusionA pathognomonic pattern for PsA diagnosis was not identified; however, we demonstrated some characteristic capillaroscopy findings for PsA, such as decreased capillary density, reduced blood flow and fewer crossed vessels in OCTA and presence of NVC microhaemorrhages.

Indexed as

nailfold capillaroscopyoptical coherence tomographyosteoarthritispsoriasispsoriatic arthritis

Identifiers

PMID34622126
PMCPMC8493103
OpenAlexW3203655000

What OpenQuestion holds

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LicenceCC BY-NC
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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.