Evidence map›Paper›PMID 38966753›Full record

ArticleFrontiers in cardiovascular medicine2024

Color-coded parametric imaging support display of vessel hemorrhage-an

Yi Chen, Wenji Xu, Jiaxin Liu, Chao Zhao, Xiaojing Cao, Rong Wang, Duiping Feng, Ruiping Zhang, Xiang Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Yi Chen *Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Wenji Xu *College of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China.
Jiaxin LiuCollege of Electronic Information Engineering, Beihang University, Beijing, China.
Chao ZhaoDepartment of Oncology and Vascular Intervention, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaojing CaoDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Rong WangDepartment of Oncology and Vascular Intervention, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Duiping FengDepartment of Oncology and Vascular Intervention, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Ruiping Zhang *The Radiology Department of Shanxi Provincial People's Hospital, The Fifth Hospital of Shanxi Medical University, Taiyuan, China.
Xiang Zhou *Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital Subtraction Angiography (DSA) is currently the most effective diagnostic method for vascular diseases, but it is still subject to various factors, resulting in uncertain diagnosis. Therefore, a new technology is needed to help clinical doctors improve diagnostic accuracy and efficiency. Purpose: The objective of the study was to investigate the effect of utilizing color-coded parametric imaging techniques on the accuracy of identifying active bleeding through DSA, the widely accepted standard for diagnosing vascular disorders. Methods: Several variables can delay the diagnosis and treatment of active bleeding with DSA. To resolve this, we carried out an Results: Five different color-coded parametric imaging methods were compared and the time-of-arrival color coding was the most efficient technique for diagnosing active hemorrhage, with a statistically significant advantage ( Conclusions: The time-of-arrival color coding imaging method is a valuable tool for detecting active bleeding. When combined with DSA, it improves the visual representation of active hemorrhage and improves the efficiency of diagnosis.

Indexed as

active bleedingcolor-coded parametric imagingdiagnosisDSAtime of arrival

Identifiers

PMID38966753
PMCPMC11222601

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