Article in Rheumatology international, 2025. 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
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.
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
15 authors.
Netanja I HarliantoDepartment of Radiology, University Medical Center Utrecht and Utrecht University, Heidelberglaan 100, Utrecht, GA, 3508, The Netherlands. netanjaharlianto@gmail.com.ORCID 0000-0001-8196-3949
Pim A de JongDepartment of Radiology, University Medical Center Utrecht and Utrecht University, Heidelberglaan 100, Utrecht, GA, 3508, The Netherlands.ORCID 0000-0003-4840-6854
Wouter FoppenDepartment of Radiology, University Medical Center Utrecht and Utrecht University, Heidelberglaan 100, Utrecht, GA, 3508, The Netherlands.ORCID 0000-0003-4970-8555
Edwin BenninkImage Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-3689-8532
Stijn BunkImage Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0009-0009-3020-995X
Simon C MastbergenRheumatology and Clinical Immunology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-8825-6486
Adriane D M VorselaarsDivision of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-2777-3727
Mareye VoortmanDivision of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-8215-6794
Margreet KloppenburgDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-9294-2307
Francisco J BlancoDepartamento de Fisioterapia y Medicina, Grupo de Investigación de Reumatología (GIR), Centro de Investigación CICA, Universidad de A Coruña, A Coruña, Spain.ORCID 0000-0001-9821-7635
Ida K HaugenCenter for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway.ORCID 0000-0001-7810-2216
Francis BerenbaumDepartment of Rheumatology, AP-HP Saint-Antoine Hospital, INSERM, Sorbonne University, Paris, France.ORCID 0000-0001-8252-7815
Karteek PopuriDepartment of Computer Science, Memorial University of Newfoundland, St. John's, Canada.ORCID 0000-0002-1729-3255
Mirza Faisal BegSchool of Engineering Science, Simon Fraser University, Vancouver, Canada.ORCID 0000-0001-6706-8630
Mylène P JansenRheumatology and Clinical Immunology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-1929-6350
Funding
FP7 Ideas: European Research Council Grant Agreement no. 115770
6 · The paper itself
Abstract
The systemic associations with knee osteoarthritis (KOA) are incompletely understood. This study explores aortic disease, musculoskeletal and organ findings in patients with KOA in relation to their symptoms or radiographic abnormalities. Full body computed tomography (CT) scans of 255 IMI-APPROACH participants were investigated using an automated analysis of multislice CT (Voronoi Health Analytics) that extracts aortic size and calcifications, and volumes and densities of bones, muscles, fat compartments and thoracic and abdominal organs. The CT measurements were primarily related to KOA as measured with Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), visual scores and automated knee radiograph analysis of osteophytes, bone sclerosis and joint space width. The median age was 67 years, body mass index (BMI) 26.8 kg/m
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.
Aortic, musculoskeletal and organ characteristics on computed tomography in knee osteoarthritis - an explorative study in the IMI-APPROACH cohort. · full record | OpenQuestion