Evidence map›Paper›PMID 35446854›Full record

Trial reportPloS one2022

Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.

Lazaros Tzelves, Ioannis Manolitsis, Ioannis Varkarakis, Mirjana Ivanovic, Miltiadis Kokkonidis, Cristina Sabater Useros, Thanos Kosmidis, Montserrat Muñoz, Imma Grau, Manos Athanatos and 9 more

Registry-linked trialOpen access · goldAbstract readClinical Trial, Phase II
In one paragraph

Trial report in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04879563 (Artificial Intelligence Supporting CAncer Patients Across Europe - the ASCAPE Project), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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.

NCT04879563 phase2active not recruitingnot on this map

Artificial Intelligence Supporting CAncer Patients Across Europe - the ASCAPE Project

TypeinterventionalSponsorRegion Örebro CountyRan2021 to 2025Enrolled500ConditionsBreast Cancer, Prostate Cancer, Quality of Life, SurvivorshipArmsASCAPE-based follow-up strategy
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Innovations in Kidney Stone Removal.Research and reports in urology · 2023
    Review
  10. Role of smartphone devices in precision oncology.Journal of cancer research and clinical oncology · 2023
    Review
  11. 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

19 authors at 12 institutions in 7 countries.

Lazaros TzelvesNational and Kapodistrian University of Athens Faculty of Medicine Marousi, 2nd Department of Urology, Athens, Greece.ORCID 0000-0003-4619-9783
Ioannis ManolitsisNational and Kapodistrian University of Athens Faculty of Medicine Marousi, 2nd Department of Urology, Athens, Greece.ORCID 0000-0003-1496-0742
Ioannis VarkarakisNational and Kapodistrian University of Athens Faculty of Medicine Marousi, 2nd Department of Urology, Athens, Greece.
Mirjana IvanovicFaculty of Sciences, University of Novi Sad, Novi Sad, Serbia.ORCID 0000-0003-1946-0384
Miltiadis KokkonidisIntrasoft International Ltd., Luxembourg, Luxembourg.
Cristina Sabater UserosATOS SE, Madrid, Spain.
Thanos KosmidisCareAcross Ltd, London, United Kingdom.
Montserrat MuñozDepartment of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain.ORCID 0000-0001-7772-1437
Imma GrauDepartment of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain.
Manos AthanatosFoundation for Research and Technology-Hellas (FORTH), Heraklion, Crete, Greece.
Anamaria VizitiuSiemens SRL, Bucuresti, Romania.
Konstantinos LampropoulosDepartment of Electrical and Computer Engineering, University of Patras, Patras, Greece.ORCID 0000-0003-0011-1213
Tzortzia KoutsouriSphynx Technology Solutions AG, Zug, Switzerland.
Dimitra StefanatouArthur's Legal, Amsterdam, The Netherlands.
Konstantinos PerrakisUBITECH Research Department, UBITECH Ltd., Athens, Greece.
Christina StratigakiUBITECH Research Department, UBITECH Ltd., Athens, Greece.
Serge AutexierGerman Research Center for Artificial Intelligence (DFKI), Bremen, Germany.ORCID 0000-0002-0769-0732
Paris KosmidisCareAcross Ltd, London, United Kingdom.
Antonis ValachisDepartment of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID 0000-0001-6059-0194
National and Kapodistrian University of Athens · GRHospital Clínic de Barcelona · ESUbitech (Greece) · GRAtos (Spain) · ESFoundation for Research and Technology Hellas · GRGerman Research Centre for Artificial Intelligence · DEHygeia Hospital · GRINTRASOFT International (Luxembourg) · LUÖrebro University · SESiemens (Romania) · ROUniversity of Novi Sad · RSUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast and prostate cancer survivors can experience impaired quality of life (QoL) in several QoL domains. The current strategy to support cancer survivors with impaired QoL is suboptimal, leading to unmet patient needs. ASCAPE aims to provide personalized- and artificial intelligence (AI)-based predictions for QoL issues in breast- and prostate cancer patients as well as to suggest potential interventions to their physicians to offer a more modern and holistic approach on cancer rehabilitation. METHODS AND ANALYSES: An AI-based platform aiming to predict QoL issues and suggest appropriate interventions to clinicians will be built based on patient data gathered through medical records, questionnaires, apps, and wearables. This platform will be prospectively evaluated through a longitudinal study where breast and prostate cancer survivors from four different study sites across the Europe will be enrolled. The evaluation of the AI-based follow-up strategy through the ASCAPE platform will be based on patients' experience, engagement, and potential improvement in QoL during the study as well as on clinicians' view on how ASCAPE platform impacts their clinical practice and doctor-patient relationship, and their experience in using the platform. ETHICS AND DISSEMINATION: ASCAPE is the first research project that will prospectively investigate an AI-based approach for an individualized follow-up strategy for patients with breast- or prostate cancer focusing on patients' QoL issues. ASCAPE represents a paradigm shift both in terms of a more individualized approach for follow-up based on QoL issues, which is an unmet need for cancer survivors, and in terms of how to use Big Data in cancer care through democratizing the knowledge and the access to AI and Big Data related innovations.

trial registrationTrial Registration on clinicaltrials.gov: NCT04879563.

Indexed as

Breast NeoplasmsProstatic NeoplasmsArtificial IntelligenceFemaleHumansLongitudinal StudiesMalePhysician-Patient RelationsQuality of Life

Identifiers

PMID35446854
PMCPMC9022843
OpenAlexW4224210065

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.