Evidence map›Paper›PMID 40029531›Full record

ArticleIrish journal of medical science2025

Role of abdominal aortic calcification score in predicting cardiovascular risk in the general population.

Yinze Ji, Naqiang Lv, Yingzhen Gu, Xiaorong Han, Aimin Dang

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Article in Irish journal of medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 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.

Yinze JiPremium Care Center, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Naqiang LvPremium Care Center, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Yingzhen GuPremium Care Center, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Xiaorong HanPremium Care Center, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China.
Aimin DangPremium Care Center, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, National Center for Cardiovascular Diseases, No.167 North Lishi Road, Xicheng District, Beijing, China. amdangfw@163.com.ORCID http://orcid.org/0000-0003-3315-7840

Funding

Key Project of the National Health Commission of The People's Republic of China 2020-ZD13National Key Research and Development Program of China 2022YFC3602400National Key Research and Development Program of China 2022YFC3602405
6 · The paper itself

Abstract

backgroundAbdominal aortic calcification (AAC) is closely related to cardiovascular disease. Although its clinical significances have primarily been investigated in patients with chronic kidney disease, its association with cardio-cerebrovascular mortality in the general middle-aged and elderly population has not been sufficiently investigated.

aimsTo study the association of AAC and cardio-cerebrovascular mortality in both the entire general middle-aged and elderly populations and age subgroups.

methodsData of participants of the National Health and Nutrition Examination Survey (NHANES) 2013-2014 were analyzed. This study included middle-aged and elderly (≥ 40 years old) individuals who underwent dual-energy X-ray absorptiometry. The severity of AAC was assessed by an AAC scoring system (AAC score) with a maximum possible value of 24. Participants were tracked for survival status and major cause of death till 31st December 2019. This study utilized AAC score = 6 as the optimal cut-off according to Harrell's c statistic. Based on AAC scores, participants were trichotomized (0, 0-6, and ≥ 6). Groupwise survival curves and cumulative incidence functions were plotted to reveal the association of AAC and cardio-cerebrovascular mortality. Given results under trichotomization, combination of participants with AAC scores 0 and 0-6 was conducted to reaffirm the association of AAC and adverse prognosis.

resultsCorrelation between increased AAC score and poorer survival, higher cumulative incidence of events was revealed. Cox models identified AAC score ≥ 6 as an independent risk factor of cardio-cerebrovascular mortality (AAC score ≥ 6 vs. AAC score = 0: Hazard ratio: 2.38, P = 0.008) after adjusting for cardiovascular risk factors. Results remained significant after regrouping (AAC score ≥ 6 vs. AAC score < 6: Hazard ratio: 2.06, P = 0.016). Subgroup analysis provided no evidence of unparallel change in hazard for the same amount of increase in AAC score among middle-aged (40-65 years old) and elderly (≥ 65 years old) individuals.

conclusionsAAC score ≥ 6 independently indicate increased risk of cardio-cerebrovascular death and would be effective in risk stratification among the general middle-aged and elderly population in clinical practice.

Indexed as

Aorta, AbdominalAortic DiseasesCardiovascular DiseasesVascular CalcificationAbsorptiometry, PhotonAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysRisk AssessmentRisk FactorsSeverity of Illness IndexAbdominal aortic calcificationAbdominal aortic calcification scoreCardio-cerebrovascular mortalityVascular calcification

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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.