Evidence map›Paper›PMID 36474756›Full record

ArticleOsteoarthritis and cartilage open2021

Possible role of MRI-detected osteophytes as a predictive biomarker for development of osteoarthritis of the knee: A study using data from the Osteoarthritis Initiative.

Ryosuke Tozawa, Yuya Ogawa, Yusuke Minamoto, Taishi Ninomiya, Takahiro Ogura, Shotaro Watanabe, Seiji Kimura, Yuki Shiko, Yohei Kawasaki, Ryuichiro Akagi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Osteoarthritis and cartilage open, 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
0.7field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

  1. Article
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

11 authors at 3 institutions in 1 country.

Ryosuke TozawaMusculoskeletal Disease and Pain, Preventive Medical Sciences, Chiba University, Chiba, Japan.
Yuya OgawaDepartment of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yusuke MinamotoMusculoskeletal Disease and Pain, Preventive Medical Sciences, Chiba University, Chiba, Japan.
Taishi NinomiyaMusculoskeletal Disease and Pain, Preventive Medical Sciences, Chiba University, Chiba, Japan.
Takahiro OguraMusculoskeletal Disease and Pain, Preventive Medical Sciences, Chiba University, Chiba, Japan.
Shotaro WatanabeMusculoskeletal Disease and Pain, Preventive Medical Sciences, Chiba University, Chiba, Japan.
Seiji KimuraDepartment of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yuki ShikoBiostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan.
Yohei KawasakiBiostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan.
Ryuichiro AkagiDepartment of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takahisa SashoMusculoskeletal Disease and Pain, Preventive Medical Sciences, Chiba University, Chiba, Japan.
Chiba University · JPChiba University Hospital · JPSBC Tokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To elucidate the possible role of MRI-detected osteophytes as a predictive imaging biomarker for knee osteoarthritis (KOA). Design: Subjects (n ​= ​303) were selected according to the following inclusion criteria from the Osteoarthritis Initiative (OAI) data set: (1) ​< ​55 years old; (2) Western Ontario and McMaster Universities Arthritis Index pain score of 0; (3) Kellgren-Lawrence (KL) system grade 0 or 1; and (4) Complete MRI data set of the right knee. A pre-OA group (POA) consisted of subjects who developed KL grade 2 or more within 96 months, and a non-OA group (NOA) that remained KL 0 or 1 during that period. Baseline MRIs were assessed for osteophyte formation. Twenty-five locations were examined according to the MOAKS osteophyte score. Osteophytes at each location were assessed in terms of their predictive value for OA development. Results: Thirty-two subjects were POA and 271 were NOA. Age, BMI, and sex did not differ between the two groups. In the POA group, the number of subjects with osteophytes tended to be higher at all 25 sites. Forward stepwise regression analysis revealed five locations - medial patella, lateral intra-condylar notch of the femur, lateral femoral condyle, tibial spine, and lateral posterior condyle - were important for the prediction of KOA development. Having more than two osteophytes at these five locations predicted KOA development with a sensitivity of 0.75 and specificity of 0.79. Conclusions: MRI-detected osteophytes could serve as a predictive biomarker of KOA development within 96 months after detection.

Indexed as

Imaging biomarkerMRIOsteoarthritis initiativeOsteoarthritis of the kneeOsteophytesPredictive biomarker

Identifiers

PMID36474756
PMCPMC9718261
OpenAlexW3195893174

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.