Evidence map›Paper›PMID 33728480›Full record

ReviewDer Radiologe2021

[Rheumatoid arthritis of the hand : Part 2: Imaging].

Matthias Bollow

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 2021. 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 97% 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, 0 citations in OpenAlex.

  1. Review
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

1 author at 1 institution in 1 country.

Matthias BollowKlinik für diagnostische und interventionelle Radiologie, Augusta-Kranken-Anstalt Bochum, Ruhr-Universität Bochum, Bergstraße 26, 44791, Bochum, Deutschland. m.bollow@augusta-bochum.de.
Augusta-Kranken-Anstalt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis can cause joint destruction, especially joints of the hands. Diagnosed at an early stage, which often includes imaging methods, can minimize structural joint damage and resulting disabilities as well as avoid systemic manifestations such as cardiovascular damage through rapid and continuous so-called targeted treatment approaches.

objectiveThe aim of this work is the systematic description and report of imaging findings in rheumatoid arthritis as the most common autoimmunologic rheumatologic disease, which is characterized by a typical pattern of synovitis of the hands. MATERIALS AND

methodsNarrative review based on the current literature on the subject from the radiological and rheumatological point of view.

resultsInflammation of the hands represents the most frequently affected area of the body in rheumatoid arthritis. Taking into consideration the topology and typical synovitis patterns of the hands, differences between early and late stages are described. Knowledge regarding image-based morphological changes associated with this complex disease, especially in the hands, is important in the differential diagnosis, especially in early stages of the disease.

conclusionsFor the diagnosis of rheumatoid arthritis of the hands, the radiologist must be familiar with basic knowledge of arthritis in the hands to confidently analyze the typical patterns present in the diagnostic imaging at initial diagnosis and during the course of the disease, which serve as a guide for therapy decisions.

Indexed as

Arthritis, RheumatoidSynovitisHumansInflammationMagnetic Resonance ImagingRadiographyAutoimmunological rheumatologic diseasesDiagnostic imaging of the handsEarly stagesLate stagesSynovitis

Identifiers

PMID33728480
OpenAlexW3137038728

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.