Evidence map›Paper›PMID 30389818›Full record

Trial reportJournal of nuclear medicine : official publication, Society of Nuclear Medicine2019

Assessment of Myocardial CZT SPECT Recording in a Forward-Leaning Bikerlike Position.

Mathieu Perrin, Véronique Roch, Marine Claudin, Antoine Verger, Henri Boutley, Gilles Karcher, Cédric Baumann, Nicolas Veran, Pierre-Yves Marie, Laetitia Imbert

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Mathieu PerrinDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Véronique RochDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Marine ClaudinDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Antoine VergerDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Henri BoutleyLaboratoire de Biophysique and Nancyclotep Molecular Imaging Platform, Université de Lorraine, Nancy, France.
Gilles KarcherDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Cédric BaumannClinical Research Support Platform, Université de Lorraine, CHRU-Nancy, Nancy, France; and.
Nicolas VeranDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Pierre-Yves MarieDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France.
Laetitia ImbertDepartment of Nuclear Medicine, CHRU-Nancy, Nancy, France l.imbert@chru-nancy.fr.
Inserm · FRUniversité de Lorraine · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This prospective randomized study assessed myocardial perfusion imaging with the high-sensitivity D.SPECT cadmium-zinc-telluride camera in a forward-leaning bikerlike position, which may potentially lower diaphragmatic attenuation and reduce breathing-related cardiac motion, in a manner comparable to the prone position proposed with other SPECT cameras.

Indexed as

BicyclingCadmiumPostureTelluriumZincFemaleHeartHumansImage Processing, Computer-AssistedMaleMiddle AgedMyocardial Perfusion ImagingProspective StudiesSitting PositionSupine PositionTomography, Emission-Computed, Single-PhotonCadmiumCdZnTeTelluriumZincattenuation artifactsCZT cameraleft ventricular functionmyocardial perfusion imaging (MPI)patient position

Identifiers

PMID30389818
PMCPMC6581225
OpenAlexW2898792148

What OpenQuestion holds

Textmetadata
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.