ArticleData in brief2019
Morphometric and hemodynamic parameter dataset for coronary artery aneurysms caused by atherosclerosis.
Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Integrated multidisciplinary approach to aneurysm hemodynamic analysis: numerical simulation,Frontiers in bioengineering and biotechnology · 2025Review
- A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm.International journal of computer assisted radiology and surgery · 2022Article
- Underlying mechanism of hemodynamics and intracranial aneurysm.Chinese neurosurgical journal · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In comparison with intracranial aneurysm, there are relatively few investigations of coronary artery aneurysms (CAA). Coronary atherosclerosis is the first cause of CAA; therefore, it is necessary to providing as many details of clinical CAA caused by atherosclerosis as possible. The aim of the data is to provide morphometric and hemodynamic parameters of CAAs caused by atherosclerosis, as well as the demographics of patients with CAAs. Various morphometric parameters were obtained from the reconstructed epicardial coronary arterial trees of 61 patients while multiple hemodynamic parameters were determined from their computed flow fields. The data classified the CAAs into 4 types. All subjects in each group are listed in this data article. This data set support the main findings presented in the research article (Fan et al., 2019).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.