Evidence map›Paper›PMID 39077712›Full record

ReviewReviews in cardiovascular medicine2022

Using Molecular Targets to Predict and Treat Aortic Aneurysms.

Xiaonan Zhou, Gang Liu, Hao Lai, Chunsheng Wang, Jun Li, Kai Zhu

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2022. 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

6 authors.

Xiaonan ZhouDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China.
Gang LiuDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China.
Hao LaiDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China.
Chunsheng WangDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China.
Jun LiDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China.
Kai ZhuDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic aneurysms are life-threatening vascular diseases associated with high morbidity, and usually require prophylactic surgical intervention. Current preventative management of aortic aneurysms relies on the diameter and other anatomic parameters of the aorta, but these have been demonstrated to be insufficient predictive factors of disease progression and potential complications. Studies on pathophysiology of aortic aneurysms could fill this need, which already indicated the significance of specific molecules in aortic aneurysms. These molecules provide more accurate prediction, and they also serve as therapeutic targets, some of which are in preclinical stage. In this review, we summarized the inadequacies and achievements of current clinical prediction standards, discussed the molecular targets in prediction and treatment, and especially emphasized the molecules that have shown potentials in early diagnosis, accurate risk assessment and target treatment of aortic aneurysm at early stage.

Indexed as

aortic aneurysmdiagnosismolecular targetrisk stratificationtreatmentvascular imaging

Identifiers

PMID39077712
PMCPMC11262374

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.