Evidence map›Paper›PMID 38525551›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2024

Increasing Burden of Osteoarthritis in China: Trends and Projections from the Global Burden of Disease Study 2019.

Shugang Hu, Yongwei Li, Xinyi Zhang, Tariq Alkhatatbeh, Wei Wang

Open access · bronzeAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Global, regional, and national burden of vertebral fractures among women from 1990 to 2021: a systematic analysis based on the global burden of disease study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

5 authors at 1 institution in 1 country.

Shugang HuDepartment of Bone and Joint Surgery, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China (mainland).
Yongwei LiDepartment of Bone and Joint Surgery, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China (mainland).
Xinyi ZhangDepartment of Bone and Joint Surgery, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China (mainland).
Tariq AlkhatatbehDepartment of Bone and Joint Surgery, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China (mainland).
Wei WangDepartment of Bone and Joint Surgery, The Second Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China (mainland).
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study aimed to evaluate the epidemiology of osteoarthritis in China in a comprehensive and reliable way, to project its future epidemiological patterns, and to mitigate its health hazards. MATERIAL AND METHODS Data were extracted and analyzed from the Global Burden of Diseases Study 2019. Trends in osteoarthritis epidemiology were explored using joinpoint regression analysis. Additionally, we analyzed dynamic trends using the sociodemographic index (SDI) of China. To assess and predict the epidemiology of osteoarthritis from 2020 to 2039, we used both the Bayesian age-period-cohort model and Nordpred model. RESULTS The number of prevalent cases, incident cases, and years lived with disability (YLDs) for osteoarthritis in China increased from 51.8, 4.6, and 1.8 million, respectively, in 1990, to 132.8, 10.7, and 4.7 million, respectively, in 2019, and the average annual percentage changes were 3.286, 2.938, and 3.324, respectively. The prevalence and YLDs peaked in the population aged over 90 years old, while the incidence peaked in the population aged around 50 years old. A significant positive correlation was found between osteoarthritis burden and SDI. Osteoarthritis burden is expected to continue to increase. In the population studied here, it was higher in women than in men, but this may invert by 2039. CONCLUSIONS The prevalence, incidence, and YLDs of osteoarthritis had significantly increased and may continue to increase during the next 2 decades. Prevention and treatment strategies should target women, middle-aged individuals, and the elderly.

Indexed as

Global Burden of DiseaseOsteoarthritisAgedAged, 80 and overBayes TheoremChinaFemaleGlobal HealthHumansIncidenceMaleMiddle AgedPrevalence

Identifiers

PMID38525551
PMCPMC10946220
OpenAlexW4391253426

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.