Evidence map›Paper›PMID 33348664›Full record

ReviewJournal of clinical medicine2020

Imaging of Joints and Bones in Autoinflammation.

Katharina Ziegeler, Iris Eshed, Torsten Diekhoff, Kay Geert Hermann

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. A Tale of Two Diagnoses; Gout Vs Chronic Osteomyelitis. A Case Report.Journal of community hospital internal medicine perspectives · 2024
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Autoinflammation It Is!Journal of clinical medicine · 2021
    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

4 authors at 2 institutions in 2 countries.

Katharina ZiegelerDepartment of Radiology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0002-9763-2420
Iris EshedDepartment of Diagnostic Imaging, Sheba Medical Center, Tel Giborim Affiliated with the Sackler School of Medicine, Tel Aviv University, 52621 Tel Aviv, Israel.
Torsten DiekhoffDepartment of Radiology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0003-3593-1449
Kay Geert HermannDepartment of Radiology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0001-6142-3814
Charité - Universitätsmedizin Berlin · DETel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoinflammatory disorders are commonly characterized by seemingly unprovoked systemic inflammation mainly driven by cells and cytokines of the innate immune system. In many disorders on this spectrum, joint and bone involvement may be observed and imaging of these manifestations can provide essential diagnostic information. This review aimed to provide a comprehensive overview of the imaging characteristics for major diseases and disease groups on the autoinflammatory spectrum, including familial Mediterranean fever (FMF), Behçet disease (BD), crystal deposition diseases (including gout), adult-onset Still's disease (AoSD), and syndromatic synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO)/chronic recurrent multifocal osteomyelitis (CRMO). Herein, we discuss common and distinguishing imaging characteristics, phenotypical overlaps with related diseases, and promising fields of future research.

Indexed as

arthritisautoinflammationimaging

Identifiers

PMID33348664
PMCPMC7766736
OpenAlexW3110785156

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.