Evidence map›Paper›PMID 40698070›Full record

ArticleJournal of orthopaedic translation2025

Trends, inequalities and time-series based prediction of knee osteoarthritis attributed to high body-mass-index: findings from global burden of disease 2021.

Zhuang Miao, Songlin Li, Yange Luo, Shihao Li, Ziyue Chu, Weibo Zheng, Xuezhou Li, Qunshan Lu, Peilai Liu

Abstract read
In one paragraph

Article in Journal of orthopaedic translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Zhuang MiaoKey Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, People's Republic of China.
Songlin LiDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Yange LuoDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Shihao LiDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Ziyue ChuDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Weibo ZhengDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Xuezhou LiDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Qunshan LuDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
Peilai LiuDepartment of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High body-mass-index (BMI) has been shown to be a risk factor for knee osteoarthritis (KOA). Previous studies have examined the global or regional burden of osteoarthritis in multiple joints, including the hip, knee, and hand. However, there is no comprehensive analysis and prediction of the global burden of KOA attributed to high BMI. Methods: Disease burden of KOA attributable to high BMI, from 1990 to 2021, were extracted from the Global Burden of Disease (GBD) 2021. Trends were analyzed at the global, regional, and national levels, with subgroup analyses. Joinpoint regression, age-period-cohort model, decomposition analysis, cross-country inequalities were used to analyze the trend of disease burden from multiple dimensions. Autoregressive integrated moving average (ARIMA) model, a time-series based forecasting algorithms, was applied to predict the burden for the next 20 years. Results: From 1990 to 2021, the risk factor attribution of high BMI in KOA increased from 25.44 % (95 % CI: -2.38 %-48.66 %) to 33.52 % (95 % CI: -3.38 %-61.92 %). Globally, regionally, and nationally, the burden of KOA attributed to high BMI showed a sharp increase. Except for the decline observed in high sociodemographic index (SDI) regions from 2000 to 2005, the burden exhibited an upward trend across all other time periods and regions. Age, cohort, and period had significant impacts on disease burden. Both population growth and epidemiological changes contributed positively to the increase in the burden. Economic and social development led to increasing disparities, with lower-SDI countries showing better health outcomes. ARIMA model showed that a continued rise in the burden of KOA due to high BMI globally through 2041. Conclusions: KOA attributable to high BMI has imposed a substantial burden globally, regionally, and nationally over the past 30 years, with a marked increase. The projections indicate a further increase in the global burden over the next 20 years. Measures need to be taken for targeted preventive intervention. The translational potential of this article: High BMI is an important risk factor for KOA. The disease burden of KOA attributable to high BMI has increased significantly over the past 30 years. This burden is concentrated in economically developed areas, although the growth rate in less developed regions surpasses that of developed regions. This study suggested that targeted interventions addressing disease patterns across socioeconomic contexts are crucial to mitigating the burden of KOA attributable to high BMI. In addition, it is necessary to pay more attention to the disease burden of female.

Indexed as

Autoregressive integrated moving average modelCross-country inequalitiesDisability-adjusted life yearsHigh body mass indexKnee osteoarthritisTrends

Identifiers

PMID40698070
PMCPMC12282401

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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.