Evidence map›Paper›PMID 31338569›Full record

ArticleRheumatology international2020

Ultrasonographic assessment of femoral cartilage thickness in patients with and without uveitis in Behçet's disease.

Emre Ata, Murat Kosem, Tugba Ozsoy-Unubol

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Article in Rheumatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 90% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Emre AtaDepartment of Physical Medicine and Rehabilitation, Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-8923-4158
Murat KosemDepartment of Physical Medicine and Rehabilitation, Yuksekova State Hospital, Hakkari, Turkey.ORCID http://orcid.org/0000-0003-4072-8015
Tugba Ozsoy-UnubolDepartment of Physical Medicine and Rehabilitation, Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey. tugbaozsoyy@gmail.com.ORCID http://orcid.org/0000-0001-9538-9191
Fatih Sultan Mehmet Eğitim Ve Araştırma Hastanesi · TRSivas State Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective for this study is to evaluate the femoral cartilage thickness in patients with/without uveitis in Behçet's disease (BD). Patients with BD aged 18-70 years were included. The demographic and clinical characteristics of the patients were recorded. The thickness of femoral articular cartilage was measured with musculoskeletal ultrasound. Cartilage thickness was measured bilaterally from the central points of medial condyle (MFC), lateral condyle (LFC), and intercondylar area (ICA). 20 patients with uveitis [uveitis (+)] and 20 patients without uveitis [uveitis (-)] were included. Both right and left MFC and LFC had statistically significant thinner cartilage in uveitis (+) group (p < 0.05). For the ICA, uveitis (+) patients had thinner femoral cartilage than uveitis (-) patients; however, in the left side, statistically significance could not be detected. Femoral cartilage was thinner in uveitis (+) patients than in uveitis (-) patients in BD. This relationship between uveitis and femoral cartilage thickness may be helpful in the prevention and early treatment of cartilage degeneration.

Indexed as

AdultArthritisBehcet SyndromeCartilage, ArticularCase-Control StudiesFemaleFemurHumansKnee JointMaleMiddle AgedOrgan SizeUltrasonographyUveitisYoung AdultBehçet’s diseaseFemoral cartilageUltrasonographyUveitis

Identifiers

PMID31338569
OpenAlexW2962785924

What OpenQuestion holds

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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.