Evidence map›Paper›PMID 33708824›Full record

ArticleAnnals of translational medicine2021

Metabolically healthy obesity and risk of stroke: a meta-analysis of prospective cohort studies.

Ling-Zhi Ma, Fu-Rong Sun, Zuo-Teng Wang, Lin Tan, Xiao-He Hou, Ya-Nan Ou, Qiang Dong, Jin-Tai Yu, Lan Tan

Abstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Ling-Zhi MaDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Fu-Rong SunDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Zuo-Teng WangDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Lin TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Xiao-He HouDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Ya-Nan OuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Qiang DongDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jin-Tai YuDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic healthy obesity (MHO) is a unique subgroup of overweight and obese individuals with normal metabolic characteristics. Its association with the risk of stroke remains unclear. We aimed to examine the risk of stroke in MHO individuals and the further associations between stroke and metabolic abnormalities under different bodyweight conditions.

methodsWe systematically searched PubMed, Embase and Cochrane Library from December 1946 to January 2019, and only included prospective cohort studies. Random effects models were used to evaluate the pooled risk ratios (RR) and 95% confidence intervals (95% CI) of incident stroke.

resultsA total of eight studies comprising 4,256,888 participants were included in the meta-analysis. MHO individuals had an increased risk of stroke compared with metabolically healthy normal weight (MH-NW) individuals (RR =1.17, 95% CI: 1.11-1.23). However, the stroke risk of metabolically healthy overweight individuals was the same (RR =1.02, 95% CI: 0.84-1.23). All groups with unhealthy metabolism had a similarly elevated risk: normal weight (RR =1.83, 95% CI: 1.57-2.14), overweight (RR =1.93, 95% CI: 1.44-2.58), and obesity (RR =2.00, 95% CI: 1.40-2.87).

conclusionsThe meta-analysis confirms a positive association between MHO phenotype and the risk of stroke. Individuals with metabolic abnormalities under different bodyweight conditions are at elevated risk.

Indexed as

meta-analysis, prospective cohortMetabolismobesitystroke

Identifiers

PMID33708824
PMCPMC7940916

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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.