Evidence map›Paper›PMID 34465986›Full record

ArticleClinical interventions in aging2021

Analysis of High-Risk Factors Associated with the Progression of Subaneurysmal Aorta to Abdominal Aortic Aneurysm in Rural Area in China.

Wenjun Zhao, Gang Wang, Ping Xu, Tingting Wu, Binjuan Chen, Haijun Ren, Xingjie Li

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Article in Clinical interventions in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenjun ZhaoDepartment of Ultrasound, Imaging, Healthy Management Centre, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.
Gang WangDepartment of Neurosurgeon, Neurology, Neurologist, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.
Ping XuDepartment of Ultrasound, Imaging, Ultrasound Centre, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.
Tingting WuDepartment of Ultrasound, Imaging, Ultrasound Centre, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.
Binjuan ChenDepartment of Ultrasound, Imaging, Ultrasound Centre, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.
Haijun RenDepartment of Neurosurgeon, Neurology, Neurologist, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.
Xingjie LiDepartment of Ultrasound, Imaging, Healthy Management Centre, The Second Hospital of Lanzhou University, Lanzhou City, 730000, Gansu Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the risk factors associated with the progress of subaneurysmal aorta (SAA) to abdominal aortic aneurysm (AAA) and provide a reference for the prevention of AAA in rural areas.

methodsA total of 747 SAA patients screened by the Health Management Center of the Second Hospital of Lanzhou University from January 2015 to January 2016 were recruited. The ratio of SAA progressing to AAA was observed through 5 years of follow-up. Logistic stepwise regression analysis was performed to analyze the high-risk factors. The relevant clinical prediction model score table (Nom) was made and the C-index and calibration chart were used to verify the prediction ability of the model.

resultsOf the 747 patients diagnosed with SAA, 260 developed to AAA, with an incidence of 34.8%. Univariate analysis showed that age (62-65 years old), abdominal aorta diameter greater than 2.7 cm, smoking after 30 years old, moderate to severe hypertension, and blood pressure variability were the important high-risk factors of SAA progressing to AAA. Logistic regression analysis showed that these factors were statistically significant. The nomogram of clinical prediction model score showed that when 50-60% of SAA developed to AAA, the score was 189-201 and the C-index was 0.883, verifying the moderate predictive ability of this model.

conclusionAge, smoking habit, degree of hypertension, and control situation were high-risk factors associated with the progression of SAA to AAA. The control of the above high-risk factors was imperative for the prevention of AAA in rural areas without sufficient medical resources.

Indexed as

Aortic Aneurysm, AbdominalAgedAorta, AbdominalHumansModels, StatisticalPrognosisRisk Factorsabdominal aorta dilationabdominal aortic aneurysmhigh-risk factorsrural areas

Identifiers

PMID34465986
PMCPMC8402982

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