Evidence map›Paper›PMID 32557152›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Assessment of different quantification metrics of [

Mercy I Akerele, Nouf A Mushari, Rachael O Forsythe, Maaz Syed, Nicolas A Karakatsanis, David E Newby, Marc R Dweck, Charalampos Tsoumpas

Abstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

8 authors.

Mercy I AkereleBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9NL, UK. mercyoloniyo@yahoo.com.
Nouf A MushariBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9NL, UK.
Rachael O ForsytheBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Maaz SyedBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Nicolas A KarakatsanisDivision of Radiopharmaceutical Sciences, Department of Radiology, Weil Cornell Medical College of Cornell University, New York, NY, USA.
David E NewbyEdinburgh Imaging Facility, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Marc R DweckBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Charalampos TsoumpasBiomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9NL, UK.

Funding

British Heart Foundation FS/14/78/31020British Heart Foundation RG/16/10/32375Medical Research Council G0701127Medical Research Council MC_PC_12040
6 · The paper itself

Abstract

backgroundWe aim to assess the spill-in effect and the benefit in quantitative accuracy for [

methodsSeventy-two datasets of patients diagnosed with AAA were reconstructed with ordered subset expectation maximization algorithm incorporating point spread function (PSF). Spill-in effect was investigated for the entire aneurysm (AAA), and part of the aneurysm excluding the region close to the bone (AAA

resultsTBR differences were observed between AAA and AAA

conclusionTBR

Indexed as

Aortic Aneurysm, AbdominalPositron Emission Tomography Computed TomographyAlgorithmsFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedPositron-Emission TomographyFluorodeoxyglucose F18Abdominal aortic aneurysmbackground correctionspill-in effecttarget-to-background ratio

Identifiers

PMID32557152
PMCPMC8873073

What OpenQuestion holds

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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.