Evidence map›Paper›PMID 39107768›Full record

ArticleBMC musculoskeletal disorders2024

Predicting incident radiographic knee osteoarthritis through quantitative meniscal lesion parameters: data from the osteoarthritis initiative.

Kaida Bo, Xiangpeng Xie, Xin Liu, Jianliang Ou, Yuanyi Zhang, Xu Wang, Shuo Yang, Wei Zhang, Lelei Zhang, Jun Chang

Abstract readMulticenter Study
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kaida Bo *The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Xiangpeng Xie *The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Xin LiuSchool of Basic Medical Sciences, Anhui Medical University, Hefei, 230000, China.
Jianliang OuThe First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Yuanyi ZhangThe First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Xu WangThe First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Shuo YangThe First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Wei ZhangSchool of Basic Medical Sciences, Anhui Medical University, Hefei, 230000, China.
Lelei ZhangThe First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China.
Jun ChangThe First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, 230000, China. changjun_2008@hotmail.com.

Funding

Anhui Medical University 2020xkj209Inflammation and Immune Mediated Diseases Laboratory of Anhui Province IMMDL202006Natural Science Research Project of Anhui Educational Committee KJ2021A0331, 2022zhyx-C90
6 · The paper itself

Abstract

backgroundThis study investigates the potential of novel meniscal parameters as predictive factors for incident radiographic knee osteoarthritis (ROA) over a span of four years, as part of the Osteoarthritis Initiative (OAI) study.

objectivesQuantitative measurements of meniscal parameters alteration could serve as predictors of OA's occurrence and progression. METHODS AND MATERIALS: A nested matched case-control study design was used to select participants from OAI study. Case knees (n = 178) were defined as those with incident ROA (Kellgren Lawrence Grade (KLG) 0 or 1 at baseline (BL), evolving into KLG 2 or above by year 4). Control knees were matched one-to-one by sex, age and radiographic status with case knees. The mean distance from medial-to-lateral meniscal lesions [Mean(MLD)], mean value of tibial plateau width [Mean(TPW)] and the mean of the relative percentage of the medial-to-lateral meniscal lesions distance [Mean(RMLD)] were evaluated through coronal T2-weighted turbo spin echo (TSE) MRI at P-0 (visit when incident ROA was found on radiograph), P-1(one year prior to P-0) and baseline, respectively. Using the imaging data of one patient, the mechanism was investigated by finite element analysis.

resultsParticipants were on average 60.22 years old, predominantly female (66.7%) and overweight (mean BMI: 28.15). Mean(MLD) and Mean(RMLD) were significantly greater for incident knees compared to no incident knees at baseline, P-1 and P-0. [Mean(MLD), Mean(RMLD); (42.56-49.73) mean ± (7.70-9.52) mm SD vs. (38.14-40.78) mean ± (5.51-7.05)mm SD; (58.61-68.95) mean ± (8.52-11.40) mm SD vs. (52.52-56.35) mean ± (6.53-7.85)mm SD, respectively]. Baseline Mean(MLD) and Mean(RMLD), [Adjusted OR, 95%CI: 1.11(1.07 to 1.16) and 1.13(1.09 to 1.17), respectively], were associated with incident ROA during 4 years, However, Mean(TPW) [Adjusted OR, 95%CI: 0.98(0.94 to 1.02)] was not associated with incident ROA during 4 years. While Mean(TPW) at P-1 and P-0 was not associated with the risk of incident ROA, Mean(MLD) and Mean(RMLD) at P-1 and P-0 were significantly positively associated with the risk of incident ROA.

conclusionsThe meniscal parameters alteration could be an important imaging biomarker to predict the occurrence of ROA.

Indexed as

Magnetic Resonance ImagingMenisci, TibialOsteoarthritis, KneeRadiographyAgedCase-Control StudiesDisease ProgressionFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsTibial Meniscus InjuriesBiomechanicsKneeMagnetic resonance imagingMechanical stressMeniscusOsteoarthritisRadiography

Identifiers

PMID39107768
PMCPMC11304704

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Registered trials

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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.