Evidence map›Paper›PMID 39967926›Full record

ArticleArchives of medical science : AMS2024

Global burden of osteoarthritis from 1990 to 2019 attributable to high body mass index.

Shiming Yang, Licheng Zhou, Wanchen Gong, Bin Guo, Linfeng Wang

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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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

6 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

5 authors.

Shiming YangDepartment of Orthopedics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Licheng ZhouDepartment of Orthopedics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Wanchen GongDepartment of Orthopedics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Bin GuoDepartment of Orthopedics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.
Linfeng WangDepartment of Orthopedics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim was to examine data from the Global Burden of Disease Study (GBD) 2019 to determine the global burden of osteoarthritis (OA) from 1990 to 2019 that is attributable to high body mass index (BMI). Material and methods: Disability-adjusted life years (DALYs) and age-standardized DALY rates, and their corresponding estimated annual percentage changes (EAPCs), were used to compare estimated OA burdens between countries and regions. Moreover, a comparative risk assessment framework was used to estimate the risks attributable to high BMI in terms of DALYs. Results: From 1990 to 2019, the age-standardized DALY rate for OA attributable to high BMI increased significantly (EAPC = 1.45, 95% CI: 1.44-1.47). Moreover, from 1990 to 2019, the age-standardized DALY rate and number of DALYs for OA attributable to high BMI increased less in women than in men. From 1990 to 2019, the age-standardized DALY rate for OA attributable to high BMI increased the most in South Asia (EAPC = 3.94). From 1990 to 2019, among 204 countries worldwide, the age-standardized DALY rate for OA attributable to high BMI increased the most in Equatorial Guinea (EAPC = 7.42). Also, the burden was higher in high-sociodemographic index (SDI) regions than in low-SDI regions. Conclusions: The global burden of OA attributable to high BMI increased significantly from 1990 to 2019. In particular, this burden was higher in women than in men; primarily affected middle-aged and older adults; and was generally greater in high-SDI regions than in low-SDI regions.

Indexed as

age-standardized DALY rateannual estimated percentage changeglobal disease burdenhigh body mass indexosteoarthritis

Identifiers

PMID39967926
PMCPMC11831349

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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.