Evidence map›Paper›PMID 34302195›Full record

ArticleWorld journal of surgery2021

Morphological Features of Aortic Arch Predicting the Risk for Acute Type B Aortic Dissection.

Likun Sun, Xin Li, Quanming Li, Ming Li, Hao He, Tun Wang, Jiehua Li, Chang Shu

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Article in World journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Likun SunDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Xin LiDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Quanming LiDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Ming LiDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Hao HeDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Tun WangDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Jiehua LiDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Chang ShuDepartment of Vascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China. shuchang@csu.edu.cn.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of the study is to elucidate the changes in aortic morphological parameters and identify the specific geometric risk factors associated with aTBAD.

methodsA total of 167 patients in aTBAD group and 196 subjects in control group were enrolled in the study. The aortic morphological data were retrospectively analyzed by 3mensio Vascular software. The aortic morphological parameters include diameter, length, angulation, tortuosity and the type of aortic arch. Multivariable logistic regression models were developed to identify the significant predictors associated with the angulation, tortuosity and aortic arch type. The predictive capacity of the models was evaluated through the receiver operating characteristic (ROC) curve analysis.

resultsThe diameters in the ascending aorta and aortic arch and the lengths in the ascending aorta and total aorta were significantly greater in aTBAD group. Besides, the angulation of the ascending aorta and aortic arch in aTBAD group increased significantly. The tortuosity of aortic arch and total aorta was significantly higher in aTBAD group. The prevalence of type III arch in aTBAD group was significantly higher than that in the controls. Multivariable models demonstrated that aortic arch angulation, tortuosity and type III arch were independent geometric predictors of aTBAD occurrence. Based on the ROC analysis, AUC of the risk prediction models was 0.977, 0.958 and 0.945, respectively.

conclusionsBesides the enlargement of the ascending aorta and aortic arch, incremental aortic arch angulation, tortuosity and type III arch configuration are valuable geometric risk factors that could enhance aTBAD incidence.

Indexed as

Aortic Aneurysm, ThoracicAortic DissectionBlood Vessel Prosthesis ImplantationAortaAorta, ThoracicHumansRetrospective StudiesRisk Factors

Identifiers

PMID34302195
OpenAlexW3183761924

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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.