Evidence map›Paper›PMID 29740722›Full record

ArticleEJNMMI research2018

Computer-aided diagnosis for (

Jonathan Christopher Taylor, Charles Romanowski, Eleanor Lorenz, Christine Lo, Oliver Bandmann, John Fenner

Open access · goldAbstract read
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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Impact of age and sex correction on the diagnostic performance of dopamine transporter SPECT.European journal of nuclear medicine and molecular imaging · 2021
    Article
  5. Review
  6. 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

6 authors at 3 institutions in 1 country.

Jonathan Christopher TaylorSheffield Teaching Hospitals NHS Foundation Trust, Nuclear Medicine, I-floor, Royal Hallamshire Hospital, Glossop road, Sheffield, S10 2JF, UK. Jonathan.taylor@sth.nhs.uk.ORCID http://orcid.org/0000-0003-3403-1668
Charles RomanowskiSheffield Teaching Hospitals NHS Foundation Trust, Radiology, Royal Hallamshire Hospital, Glossop road, Sheffield, S10 2JF, UK.
Eleanor LorenzSheffield Teaching Hospitals NHS Foundation Trust, Nuclear Medicine, I-floor, Royal Hallamshire Hospital, Glossop road, Sheffield, S10 2JF, UK.
Christine LoOxford Parkinson's Disease Centre, University of Oxford, Le Gros Clark Building, South Parks road, Oxford, OX1 3QX, UK.
Oliver BandmannDepartment of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, 385a Glossop road, Sheffield, S10 2HQ, UK.
John FennerInsigneo, Infection Immunity and Cardiovascular Disease, University of Sheffield, Royal Hallamshire Hospital, Glossop road, Sheffield, S10 2JF, UK.
Royal Hallamshire Hospital · GBUniversity of Oxford · GBUniversity of Sheffield · GB

Funding

Department of Health HCS DRF-2014-05-002National Institute for Health Research HCS DRF-2014-05-002
6 · The paper itself

Abstract

backgroundFor (

resultsThe performance of all reporters demonstrated a degree of variability when analysing images through visual analysis alone. However, inclusion of CADx improved consistency between reporters, for both clinical and research data. The introduction of CADx increased the accuracy of the radiologists when reporting (unfamiliar) research images but had less impact on the clinical scientist and caused no significant change in accuracy for the clinical data.

conclusionsThe outcomes for this study indicate the value of CADx as a diagnostic aid in the clinic and encourage future development for more refined incorporation into clinical practice.

Indexed as

(123I)FP-CITComputer-aided diagnosisMachine learningSupport vector machine

Identifiers

PMID29740722
PMCPMC5940985
OpenAlexW2807544629

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.