Evidence map›Paper›PMID 41152937›Full record

ReviewJournal of cardiothoracic surgery2025

aCTA structured reporting of aortic dissection and updated knowledge required by radiologists.

Jinping Li, Hanqing Zhu, Wenhui Li, Zhibo Guo, Hui Wang, Feifei Sun, Kaiwei Lu, Yi Li, Chuanbin Wei, Wenhua Guan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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

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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Jinping LiDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Hanqing ZhuDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Wenhui LiDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Zhibo GuoDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Hui WangDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Feifei SunDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Kaiwei LuDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Yi LiDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Chuanbin WeiDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China.
Wenhua GuanDepartment of Radiology, Key Laboratory of Imaging Diagnosis of Aortic Diseases in Xinxiang City, The Third Affiliated Hospital Of Xinxiang Medical University, Xinxiang, Henan, China. guanwenhua@xxmu.edu.cn.

Funding

Henan Provincial Medical Science and Technology Research Plan, Henan Provincial Health and Family Planning Commission 2018020378Henan Provincial Medical Science and Technology Research Plan, Henan Provincial Health Commission LHGJ20230544
6 · The paper itself

Abstract

The development of Computed Tomography Angiography (CTA) has greatly enhanced the diagnosis of aortic dissection (AD). However, there is currently no comprehensive reporting requirement for the diagnosis of AD. Structured reporting templates are becoming increasingly common in radiology and other medical fields. Drawing on the standardized writing methods of structured reports for different diseases, the authors propose a structured reporting template for the CTA diagnosis of AD and suggest details for the template while also exploring several hot topics related to AD.

Indexed as

Aortic DissectionComputed Tomography AngiographyRadiologistsDissection, Thoracic AortaHumansADAortic dissectionComputed tomography angiographyCTAStructured reporting template

Identifiers

PMID41152937
PMCPMC12570746

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Registered trials

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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.