Evidence map›Paper›PMID 37083563›Full record

ArticleJMIR research protocols2023

Digital Guardian Angel Supported by an Artificial Intelligence System to Improve Quality of Life, Well-being, and Health Outcomes of Patients With Cancer (ONCORELIEF): Protocol for a Single Arm Prospective Multicenter Pilot Study.

Joaquim Reis, Luzia Travado, Alexander Scherrer, Thanos Kosmidis, Stefanos Venios, Paris Emmanouil Laras, Gabrielle Oestreicher, Markus Moehler, Margherita Parolini, Alessandro Passardi and 11 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

21 authors.

Joaquim Reis *Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisboa, Portugal.ORCID https://orcid.org/0000-0003-0737-0955
Luzia Travado *Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisboa, Portugal.ORCID https://orcid.org/0000-0003-3509-3035
Alexander Scherrer *Institute for Industrial Mathematics, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM), Kaiserslautern, Germany.ORCID https://orcid.org/0000-0003-4552-1427
Thanos Kosmidis *Careacross, London, United Kingdom.ORCID https://orcid.org/0000-0002-4646-448X
Stefanos Venios *Suite5, Data Intelligence Solutions Limited, Limassol, Cyprus.ORCID https://orcid.org/0000-0002-3711-8569
Paris Emmanouil Laras *Maggioli SPA, Santarcangelo di Romagna, Italy.ORCID https://orcid.org/0000-0001-7934-0566
Gabrielle Oestreicher *Universitaetsmedizin der Johannes Gutenberg-Universitaet Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0003-1682-9377
Markus Moehler *Universitaetsmedizin der Johannes Gutenberg-Universitaet Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0003-4071-8562
Margherita Parolini *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0009-0007-7972-1650
Alessandro Passardi *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0000-0002-7099-240X
Elena Meggiolaro *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0000-0001-9265-6610
Giovanni Martinelli *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0000-0002-1025-4210
Elisabetta Petracci *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0000-0001-9456-3514
Chiara ZingarettiIRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0000-0002-9421-176X
Sotiris DiamantopoulosExus Software, London, United Kingdom.ORCID https://orcid.org/0000-0001-9932-5160
Maria Plakia *Exus Software, London, United Kingdom.ORCID https://orcid.org/0000-0002-5511-6057
Charalampos Vassiliou *Innosystems, Athens, Greece.ORCID https://orcid.org/0000-0002-4210-1008
Suheib Mousa *MCS Datalabs, Berlin, Germany.ORCID https://orcid.org/0000-0002-0277-649X
Robert Zifrid *MCS Datalabs, Berlin, Germany.ORCID https://orcid.org/0000-0002-1258-1194
Francesco Giulio Sullo *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0000-0002-6478-0638
Chiara Gallio *IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori", IRST S.r.L., Meldola, Italy.ORCID https://orcid.org/0009-0003-7380-1255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to Europe's Beating Cancer Plan, the number of cancer survivors is growing every year and is now estimated at over 12 million in Europe. A main objective of the European Commission is to ensure that cancer survivors can enjoy a high quality of life, underlining the role of digital technology and eHealth apps and tools to achieve this.

objectiveThe main objective of this study is the development of a user-centered artificial intelligence system to facilitate the input and integration of patient-related biopsychosocial data to improve posttreatment quality of life, well-being, and health outcomes and examine the feasibility of this digitally assisted workflow in a real-life setting in patients with colorectal cancer and acute myeloid leukemia.

methodsA total of 60 patients with colorectal cancer and 30 patients with acute myeloid leukemia will be recruited from 2 clinical centers: Universitätsmedizin der Johannes Gutenberg-Universität Mainz (Mainz, Germany) and IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" (IRST, Italy). Psychosocial data (eg, emotional distress, fatigue, quality of life, subjective well-being, sleep problems, and appetite loss) will be collected by questionnaires via a smartphone app, and physiological data (eg, heart rate, skin temperature, and movement through step count) will be collected by a customizable smart wrist-worn sensor device. Each patient will be assessed every 2 weeks over their 3-month participation in the ONCORELIEF study. Inclusion criteria include patients with the diagnosis of acute myeloid leukemia or colorectal cancer, adult patients aged 18 years and older, life expectancy greater than 12 months, Eastern Cooperative Oncology Group performance status ≤2, and patients who have a smartphone and agree to use it for the purpose of the study. Exclusion criteria include patients with a reduced cognitive function (such as dementia) or technological illiteracy and other known active malignant neoplastic diseases (patients with a medical history of treated neoplastic disease are included).

resultsThe pilot study started on September 1, 2022. As of January 2023, we enrolled 33 patients with colorectal cancer and 7 patients with acute myeloid leukemia. As of January 2023, we have not yet started the data analysis. We expect to get all data in June 2023 and expect the results to be published in the second semester of 2023.

conclusionsWeb-based and mobile apps use methods from mathematical decision support and artificial intelligence through a closed-loop workflow that connects health professionals and patients. The ONCORELIEF system has the potential of continuously identifying, collecting, and processing data from diverse patient dimensions to offer health care recommendations, support patients with cancer to address their unmet needs, and optimize survivorship care.

trial registrationGerman Clinical Trials Register (DRKS) 00027808; https://drks.de/search/en/trial/DRKS00027808. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45475.

Indexed as

artificial intelligenceartificial intelligence–based recommendationscancer supporteHealthmobile phonequality of life and well-beingsupportive cancer care

Identifiers

PMID37083563
PMCPMC10163393

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.