Evidence map›Paper›PMID 39984474›Full record

ArticleScientific reports2025

Evaluation of aortic arch calcification to predict prognosis after transcatheter aortic valve replacement.

Dao Zhou, Hanyi Dai, Wenjing Sheng, Rongrong Zheng, Jiaqi Fan, Abuduwufuer Yidilisi, Ailifeire Aihemaiti, Qiong Liu, Jun Chen, Yuxin He and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

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.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

16 authors.

Dao Zhou *Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Hanyi Dai *Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Wenjing Sheng *Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Rongrong ZhengDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Jiaqi FanDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Abuduwufuer YidilisiDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Ailifeire AihemaitiDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Qiong LiuDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Jun ChenDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Yuxin HeDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Yuchao GuoDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Qifeng ZhuDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Shuangshuang YangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Yanxia WeiDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Jian'an WangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China. wangjianan111@zju.edu.cn.
Xianbao LiuDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China. liuxb@zju.edu.cn.

Funding

National Natural Science Foundation of China No. 81570233, NO.81770252National Natural Science Foundation of China No. 81870292National Natural Science Foundation of China No. 82200552National Science Fund for Distinguished Young Scholars of China No.82425007Natural Science Foundation of Zhejiang Province of China LQ21H020005The National Key R&D Program of China 2019YFA0110400Zhejiang Province Science and Technology Department Key R&D Program No.2022C03063Zhejiang Province Science and Technology Department Key R&D Program No.2024C03024, 2021C03097, 2018C03084Zhejiang Province Science and Technology Innovation Leading Talents Project No.2023R5236Zhejiang Research Center of Cardiovascular Diagnosis and Treatment Technology JBZX-202001
6 · The paper itself

Abstract

Few centers routinely report aortic arch calcification (AAC) due to the lack of an easy and effective evaluation method. The association between AAC and the clinical prognosis of patients who undergo transcatheter aortic valve replacement (TAVR) is unclear. We aimed to develop a rapid method to evaluate AAC in patients who underwent TAVR and to further assess their prognosis. We enrolled 464 consecutive patients with aortic stenosis who underwent TAVR. Patients with severe (11.2%), moderate (18.5%), mild (58.2%), and no (12.1%) AAC had an estimated 3-year all-cause mortality incidence of 39.6%, 20.8%, 13.4%, and 6.7% (log rank p < 0.001), respectively. Patients with severe AAC had a significantly higher incidence of both cardiovascular (log rank p = 0.002) and non-cardiovascular mortality (log rank p = 0.009), whereas patients with moderate AAC had a higher incidence of only non-cardiovascular mortality (p = 0.003) compared with patients with no/mild AAC. Moderate/severe AAC was an independent predictor of 3-year all-cause mortality in univariate (hazard ratio [HR]: 2.39, 95% confidence interval [CI]: 1.41-4.03; p = 0.001) and multivariate COX regression analyses (HR: 1.78, 95%CI: 1.04-3.06; p = 0.037). Our rapid semi-quantitative method to evaluate AAC is highly reproducible and can be used to assess AAC in patients who undergo TAVR.

Indexed as

Aorta, ThoracicAortic Valve StenosisCalcinosisTranscatheter Aortic Valve ReplacementAgedAged, 80 and overAortic ValveFemaleHumansMalePrognosisRisk FactorsAortic arch calcificationClinical outcomesPre-operative evaluationTranscatheter aortic valve replacement

Identifiers

PMID39984474
PMCPMC11845605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.