Evidence map›Paper›PMID 37606726›Full record

ReviewZeitschrift fur Rheumatologie2023

[From conventional to cutting edge imaging in rheumatology].

David Simon, Stephan Kemenes, Ioanna Minopoulou, Arnd Kleyer

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Zeitschrift fur Rheumatologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

David SimonMedizinische Klinik 3 - Rheumatologie und Immunologie, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Deutschland. david.simon@uk-erlangen.de.
Stephan KemenesMedizinische Klinik 3 - Rheumatologie und Immunologie, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Deutschland.
Ioanna MinopoulouMedizinische Klinik 3 - Rheumatologie und Immunologie, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Deutschland.
Arnd KleyerMedizinische Klinik 3 - Rheumatologie und Immunologie, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Deutschland. arnd.kleyer@uk-erlangen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging instruments, such as conventional X‑ray, ultrasound and magnetic resonance imaging (MRI) are now fully established and highly valued in the care of rheumatology patients. However, the information provided by these imaging modalities in their current form is of limited utility for the prognostic prediction of individual patient outcomes. This article illuminates an important part of the development of imaging and shows that the vision of personalized medicine is becoming increasingly more tangible due to the further development of high-resolution imaging techniques, molecular imaging and artificial intelligence.

Indexed as

Artificial IntelligenceRheumatologyHumansMagnetic Resonance ImagingRadiographyUltrasonographyArtificial intelligenceMagnetic resonance imagingMolecular imagingPersonalized medicineSonography

Identifiers

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.