Evidence map›Paper›PMID 39941297›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [

Hanne S Vries, Gijs D van Praagh, Pieter H Nienhuis, Lejla Alic, Riemer H J A Slart

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

Hanne S VriesDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.
Gijs D van PraaghDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.ORCID 0000-0002-4396-637X
Pieter H NienhuisDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.ORCID 0000-0003-2219-8823
Lejla AlicDepartment of Magnetic Detection & Imaging, Technical Medical Centre, Faculty of Science and Technology, University of Twente, 7522 NH Enschede, The Netherlands.ORCID 0000-0001-6487-6958
Riemer H J A SlartDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.ORCID 0000-0002-5565-1164

Funding

Siemens Healthineers xxxx
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

[18F]FDG PETatherosclerosisgiant cell arteritisradiomicstherapy monitoring

Identifiers

PMID39941297
PMCPMC11817507

What Socratic 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 Socratic graph.