Evidence map›Paper›PMID 29892810›Full record

ArticleEJNMMI research2018

Simplifying [

Colm J McGinnity, Daniela A Riaño Barros, William Trigg, David J Brooks, Rainer Hinz, John S Duncan, Matthias J Koepp, Alexander Hammers

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies.European journal of nuclear medicine and molecular imaging · 2023
    Pooled it
  2. 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 at 6 institutions in 3 countries.

Colm J McGinnityDivision of Brain Sciences, Imperial College London, London, UK. colm.mcginnity@kcl.ac.uk.ORCID http://orcid.org/0000-0002-2692-918X
Daniela A Riaño BarrosDivision of Brain Sciences, Imperial College London, London, UK.
William TriggGE Healthcare Ltd, Buckinghamshire, UK.
David J BrooksDepartment of Nuclear Medicine, Aarhus University, Aarhus, Denmark.
Rainer HinzWolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.
John S DuncanDepartment of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
Matthias J KoeppDepartment of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.
Alexander HammersDivision of Brain Sciences, Imperial College London, London, UK.
St Thomas' Hospital · GBUniversity College London · GBAarhus University · DKBuckinghamshire Healthcare NHS Trust · GBMRC Clinical Trials Unit at UCL · GBUniversity of Manchester · GB

Funding

Medical Research Council Clinician Scientist Fellowship G108/585Medical Research Council Doctoral Training Account & MRC MR/N01042/1Medical Research Council G108/585Medical Research Council MRC-DPFS gMR/L013215/1Medical Research Council MRC-DPFS MR/L013215/1Medical Research Council MR/L013215/1Medical Research Council MR/N013042/1
6 · The paper itself

Abstract

introductionThe NMDA receptor radiotracer [

methodsFor 20 existing [

resultsCorrelations with the original ppIF-derived 90-min V

conclusionsWhere arterial blood sampling is available, reduction of scan duration to 60 min is feasible, but with negative bias. The performance of SUVs was more consistent across participants than PBIF-derived V

Indexed as

CNS-5161Compartmental modellingNMDAPETSUV

Identifiers

PMID29892810
PMCPMC5995767
OpenAlexW2808272327

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.