Evidence map›Paper›PMID 33966459›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2021

Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm.

Daniel Deidda, Mercy I Akerele, Robert G Aykroyd, Marc R Dweck, Kelley Ferreira, Rachael O Forsythe, Warda Heetun, David E Newby, Maaz Syed, Charalampos Tsoumpas

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Synergistic tomographic image reconstruction: part 1.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    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 at 3 institutions in 2 countries.

Daniel DeiddaNational Physical Laboratory, Teddington, UK.
Mercy I AkereleBiomedical Imaging Science Department, University of Leeds, Leeds, UK.
Robert G AykroydDepartment of Statistics, University of Leeds, Leeds, UK.
Marc R DweckEdinburgh Imaging Facility, Queen's Medical Research Institute, Edinburgh, UK.
Kelley FerreiraNational Physical Laboratory, Teddington, UK.
Rachael O ForsytheEdinburgh Imaging Facility, Queen's Medical Research Institute, Edinburgh, UK.
Warda HeetunNational Physical Laboratory, Teddington, UK.
David E NewbyEdinburgh Imaging Facility, Queen's Medical Research Institute, Edinburgh, UK.
Maaz SyedEdinburgh Imaging Facility, Queen's Medical Research Institute, Edinburgh, UK.
Charalampos TsoumpasBiomedical Imaging Science Department, University of Leeds, Leeds, UK.
British Heart Foundation · GBNational Physical Laboratory · GBUniversity of Leeds · GB

Funding

British Heart Foundation CH/09/002/26360British Heart Foundation FS/14/78/31020Chief Scientist Office ETM/365Medical Research Council MC_PC_12040
6 · The paper itself

Abstract

Abdominal aortic aneurysm (AAA) monitoring and risk of rupture is currently assumed to be correlated with the aneurysm diameter. Aneurysm growth, however, has been demonstrated to be unpredictable. Using PET to measure uptake of [

Indexed as

AlgorithmsAgedAged, 80 and overAortic Aneurysm, AbdominalCase-Control StudiesComputer SimulationDatabases, FactualFluorine RadioisotopesHumansImage Interpretation, Computer-AssistedPhantoms, ImagingPositron Emission Tomography Computed TomographyRadiopharmaceuticalsSodium FluorideFluorine-18Fluorine RadioisotopesRadiopharmaceuticalsSodium Fluorideaortic aneurysmkernel methodPETPET/CT

Identifiers

PMID33966459
PMCPMC8107650
OpenAlexW3127944423

What OpenQuestion 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 OpenQuestion graph.