Evidence map›Paper›PMID 37456638›Full record

ArticleFrontiers in neurology2023

Trends in deaths and disability-adjusted life-years of stroke attributable to high body-mass index worldwide, 1990-2019.

Xiucai Guo, Junxiao Li, Xueyan Yin, Ziping Zhang, Qiongqiong Zhong, Feng Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. 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
1.9field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Xiucai GuoPharmaceutical Department and Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China.
Junxiao LiPharmaceutical Department and Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China.
Xueyan YinPharmaceutical Department and Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China.
Ziping ZhangPharmaceutical Department and Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China.
Qiongqiong ZhongDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
Feng ZhuPharmaceutical Department and Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China.
Twelfth Guangzhou City People's Hospital · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High body mass index (HBMI) is an independent risk factor for stroke. Previous studies on the incremental burden of the rapid growth of stroke attributable to HBMI are incomplete and lag behind. We aim to assess the global burden of stroke attributable to HBMI based on a public database online. Materials and methods: Study data were taken from the Global Burden of Disease, Injuries, and Risk Factors Study; deaths, the Disability-Adjusted Life-Years (DALYs), and their age-standardized rates were screened. The join point regression was used, wherein age-standardized rates were referred to as temporal trends in disease burden. Results: Deaths from stroke attributable to HBMI worldwide were on the rise during 1990-2019, with an increase of 88.75%. Age-standardized DALYs were on the rise during 1990-2003 but declined during 2003-2013, with a turning point in 2013 and an increasing trend since then [ Conclusion: A range of indicators for the global burden of stroke attributable to HBMI have been on the rise for

Indexed as

body mass indexdisability-adjusted life-yearsdisease burdenobesitypreventionstroke

Identifiers

PMID37456638
PMCPMC10348385
OpenAlexW4382786947

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.