Evidence map›Paper›PMID 31506815›Full record

ArticleEuropean radiology2020

Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

Michela Antonelli, Edward W Johnston, Nikolaos Dikaios, King K Cheung, Harbir S Sidhu, Mrishta B Appayya, Francesco Giganti, Lucy A M Simmons, Alex Freeman, Clare Allen and 4 more

Abstract readPublished Erratum
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Michela AntonelliCentre for Medical Image Computing, University College London, London, UK.
Edward W JohnstonCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Nikolaos DikaiosCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
King K CheungCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Harbir S SidhuCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Mrishta B AppayyaCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Francesco GigantiDepartment of Radiology, University College London Hospital, London, UK.
Lucy A M SimmonsDivision of Surgery and Interventional Science, University College London, London, UK.
Alex FreemanDepartment of Pathology, University College London Hospital, London, UK.
Clare AllenDepartment of Radiology, University College London Hospital, London, UK.
Hashim U AhmedDivision of Surgery and Interventional Science, University College London, London, UK.
David AtkinsonCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Science, King's College London, London, UK.
Shonit PunwaniCentre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK. shonit.punwani@gmail.com.

Funding

Cancer Research UK 26854Cancer Research UK 27066
6 · The paper itself

Abstract

The original version of this article, published on 11 June 2019, unfortunately contained a mistake. The following correction has therefore been made in the original: In section "Multiparametric MRI review," the readers mentioned in the first sentence were partly incorrect.

Identifiers

PMID31506815
PMCPMC7645556

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.