Evidence map›Paper›PMID 37457557›Full record

ArticleTherapeutic advances in musculoskeletal disease2023

Comparative validation of the knee inflammation MRI scoring system and the MRI osteoarthritis knee score for semi-quantitative assessment of bone marrow lesions and synovitis-effusion in osteoarthritis: an international multi-reader exercise.

Walter P Maksymowych, Jacob L Jaremko, Susanne J Pedersen, Iris Eshed, Ulrich Weber, Andrew McReynolds, Paul Bird, Stephanie Wichuk, Robert G Lambert

Open access · goldAbstract readAddress
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. 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

9 authors at 5 institutions in 4 countries.

Walter P MaksymowychDepartment of Medicine, University of Alberta, 568 Heritage Medical Research Building, University of Alberta, Edmonton, AB T6R 2G8, Canada.ORCID https://orcid.org/0000-0002-1291-1755
Jacob L JaremkoDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada.
Susanne J PedersenCopenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark.
Iris EshedSheba Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Ulrich WeberPractice Buchsbaum, Schaffhausen, Switzerland.
Andrew McReynoldsDepartment of Radiology and Diagnostic Imaging, University of Alberta Hospital, Edmonton, AB, Canada.
Paul BirdDivision of Medicine, University of New South Wales, Sydney, NSW, Australia.
Stephanie WichukDepartment of Medicine, University of Alberta, Edmonton, AB, Canada.
Robert G LambertDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CAAlberta Hospital Edmonton · CARigshospitalet · DKTel Aviv University · ILUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bone marrow lesions (BMLs) and synovitis on magnetic resonance imaging (MRI) are associated with symptoms and predict degeneration of articular cartilage in osteoarthritis (OA). Validated methods for their semiquantitative assessment on MRI are available, but they all have similar scoring designs and questionable sensitivity to change. New scoring methods with completely different designs need to be developed and compared to existing methods. Objectives: To compare the performance of new web-based versions of the Knee Inflammation MRI Scoring System (KIMRISS) with the MRI OA Knee Score (MOAKS) for quantification of BMLs and synovitis-effusion (S-E). Design: Retrospective follow-up cohort. Methods: We designed web-based overlays outlining regions in the knee that are scored for BML in MOAKS and KIMRISS. For KIMRISS, both BML and S-E are scored on consecutive sagittal slices. The performance of these methods was compared in an international reading exercise of 8 readers evaluating 60 pairs of scans conducted 1 year apart from cases recruited to the OA Initiative (OAI) cohort. Interobserver reliability for baseline status and baseline to 1 year change in BML and S-E was assessed by intra-class correlation coefficient (ICC) and smallest detectable change (SDC). Feasibility was assessed using the System Usability Scale (SUS). Results: Mean change in BML and S-E was minimal over 1 year. Pre-specified targets for acceptable reliability (ICC ⩾ 0.80 and ⩾ 0.70 for status and change scores, respectively) were achieved more frequently for KIMRISS for both BML and synovitis. Mean (95% CI) ICC for change in BML was 0.88 (0.83-0.92) and 0.69 (0.60-0.78) for KIMRISS and MOAKS, respectively. KIMRISS mean SUS usability score was 85.7 and at the 95th centile of ranking for usability versus a score of 55.4 and 20th centile for MOAKS. Conclusion: KIMRISS had superior performance metrics to MOAKS for quantification of BML and S-E. Both methods should be further compared in trials of new therapies for OA.

Indexed as

bone marrow lesioneffusionmagnetic resonance imagingosteoarthritisscoring systemsynovitisvalidation

Identifiers

PMID37457557
PMCPMC10345937
OpenAlexW4384078467

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.