Evidence map›Paper›PMID 36388838›Full record

ArticleAnnals of translational medicine2022

Metabolic abnormalities, rather than body mass index, associated with increased risk of recurrent stroke in hospitalized stroke patients: a cross-sectional study.

Xiaolin Huang, Jiaojiao Zhou, Hong Zhang, Pei Gao, Long Wang, Yuting Yang, Xiaohong Jiang, Lu Chen, Fei Hua

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Xiaolin Huang *Department of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Jiaojiao Zhou *Department of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Hong Zhang *Department of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Pei GaoDepartment of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Long WangDepartment of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Yuting YangJurong City Center for Diseases Control and Prevention, Jurong, China.
Xiaohong JiangDepartment of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Lu ChenDepartment of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Fei HuaDepartment of Endocrine and Metabolic Diseases, the Third Affiliated Hospital of Soochow University, Changzhou, China.
Soochow University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic abnormalities and body mass index (BMI) are apparent risk factors for recurrent stroke. For the prevention of recurrent stroke, which one is more important remains uncertain. This study aimed to compare metabolic phenotypes and BMI as indicators of recurrent stroke in Chinese hospitalized stroke patients. Methods: In this cross-sectional population-based study, 856 hospitalized stroke patients from the First People's Hospital of Changzhou, the Third Affiliated Hospital of Soochow University, were enrolled. We implemented the standardized questionnaire and biochemical measurements to collect participants' data. Recurrent stroke was defined as new-onset stroke in patients with a definite history of previous stroke. Metabolic phenotypes were categorized based on the Adult Treatment Panel III criteria. Obesity was defined as BMI ≥25 kg/m Results: Among the hospitalized stroke patients, the prevalence of recurrent stroke was 22.4%. Metabolic abnormalities, rather than BMI, were significantly associated with recurrent stroke. Compared with metabolically healthy patients, metabolically unhealthy patients had a 72% [odds ratio (OR) =1.72, 95% confidence interval (CI): 1.10-2.68] increased risk of recurrent stroke, regardless of BMI and other confounding factors. No statistical association between BMI and recurrent stroke was found. Furthermore, metabolic status significantly improved the risk prediction of recurrent stroke when combined with conventional risk factors (net reclassification index 17.6%, P=0.0047; integrated discrimination improvement 0.7%, P=0.014), whereas BMI did not. Conclusions: Recurrent stroke is likely associated with metabolic abnormalities rather than BMI. For the secondary prevention of stroke, controlling metabolic abnormalities is more crucial than controlling BMI in stroke patients. The longitudinal study and intervention study are warranted in the further.

Indexed as

body mass index (BMI)Metabolic abnormalitiesobesityrecurrent stroke

Identifiers

PMID36388838
PMCPMC9652553
OpenAlexW4307710743

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LicenceCC BY-NC-ND
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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.