Evidence map›Paper›PMID 42110149›Full record

ReviewReviews in cardiovascular medicine2026

An Overview of the Diagnostic and Treatment Strategies for Aortic Disease.

Jianwen Xu, Fujian Wang, Kai Wang, Shu Zhang

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jianwen XuDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0002-3073-688X
Fujian WangDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0006-8434-1612
Kai WangDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0008-2762-2762
Shu ZhangDepartment of Emergency Medicine, West China Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-7808-4433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aorta, a vital conduit that transports oxygenated blood from the heart to the systemic circulation, is characterized by intricate architecture and heterogeneous embryological origins. Recently, the aorta has been conceptualized as a functionally integrated "aortic organ", providing a comprehensive framework that supports the systematic evaluation, management, and long-term surveillance of aortic pathologies. Aortic disease primarily encompasses acute aortic syndromes and chronic aneurysmal disorders, which are often characterized by asymptomatic onset and rapid clinical progression, posing a significant risk of mortality in the absence of prompt diagnosis and intervention. This review provides a systematic overview of the classification, epidemiological features, diagnostic approaches, and therapeutic advances in aortic diseases. Moreover, this review outlines current indications, technical considerations, and clinical outcomes associated with various treatment strategies. Finally, this review identifies key directions for future research, including standardizing diagnostic classifications, refining risk-stratification models, and advancing comprehensive endovascular therapies, with the ultimate goal of enhancing lifelong patient management and improving clinical outcomes.

Indexed as

acute aortic syndromeaneurysmsaortaaortic diseasethoracic aortic aneurysms

Identifiers

PMID42110149
PMCPMC13155984

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.