Evidence map›Paper›PMID 34870187›Full record

ArticleFrontiers in artificial intelligence2021

The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer.

Aida Santaolalla, Tim Hulsen, Jenson Davis, Hashim U Ahmed, Caroline M Moore, Shonit Punwani, Gert Attard, Neil McCartan, Mark Emberton, Anthony Coolen and 1 more

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2021. 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. Review
  3. Article
  4. 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

11 authors.

Aida SantaolallaKing's College London, School of Cancer and Pharmaceutical Sciences, Translational Oncology and Urology Research (TOUR), London, United Kingdom.
Tim HulsenPhilips Research, Department of Hospital Services and Informatics, Eindhoven, Netherlands.
Jenson DavisPhilips, Data Science Services, Best, Netherlands.
Hashim U AhmedImperial College London, Faculty of Medicine, Imperial Prostate, Department of Surgery and Cancer, London, United Kingdom.
Caroline M MooreDivision of Surgical and Interventional Science, University College London, London, United Kingdom.
Shonit PunwaniCentre for Medical Imaging, University College London, London, United Kingdom.
Gert AttardCancer Institute, University College London, London, United Kingdom.
Neil McCartanDivision of Surgical and Interventional Science, University College London, London, United Kingdom.
Mark EmbertonDivision of Surgical and Interventional Science, University College London, London, United Kingdom.
Anthony CoolenKing's College London, School of Cancer and Pharmaceutical Sciences, Translational Oncology and Urology Research (TOUR), London, United Kingdom.
Mieke Van HemelrijckKing's College London, School of Cancer and Pharmaceutical Sciences, Translational Oncology and Urology Research (TOUR), London, United Kingdom.

Funding

Medical Research Council MR/R014043/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedatabasedata integrationdata managementdata sciencedata warehouseprostate cancerrisk stratification

Identifiers

PMID34870187
PMCPMC8637844

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.