Evidence map›Paper›PMID 37879700›Full record

ArticleBMJ open2023

CURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: protocol for a prospective mixed-methods feasibility clinical trial.

Alexandria Remus, Xavier Tadeo, Grady Ng Shi Kai, Agata Blasiak, Theodore Kee, Smrithi Vijayakumar, Le Nguyen, Marlena N Raczkowska, Qian Yee Chai, Fatin Aliyah and 8 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04848935 (CURATE.AI Optimised Digital COgnitive Rehabilitation Therapy), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT04848935 naunknown statusnot on this map

CURATE.AI Optimised Digital COgnitive Rehabilitation Therapy (COR-Tx) for Post Brain Radiotherapy Patients: CURATE.AI COR-Tx Mixed-methods Feasibility Clinical Trial

TypeinterventionalSponsorNational University Hospital, SingaporeRan2021 to 2022Enrolled15ConditionsCognitive DeclineArmsCURATE.AI
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. N-of-1 medicine.Singapore medical journal · 2024
    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

18 authors.

Alexandria RemusHeat Resilence and Performance Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0001-9002-7933
Xavier TadeoThe Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0003-0356-826X
Grady Ng Shi KaiThe N.1 Institute for Health (N1), National University of Singapore, Singapore.
Agata BlasiakThe Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0003-0727-7611
Theodore KeeThe Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Smrithi VijayakumarThe Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-3304-7636
Le NguyenThe Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Marlena N RaczkowskaThe Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0003-1208-8751
Qian Yee ChaiDepartment of Radiation Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore.
Fatin AliyahDepartment of Radiation Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore.
Yaromir RusalovskiThe N.1 Institute for Health (N1), National University of Singapore, Singapore.
Kejia TeoDepartment of Surgery, Division of Neurosurgery, National University Hospital, Singapore.
Tseng Tsai YeoDepartment of Surgery, Division of Neurosurgery, National University Hospital, Singapore.
Andrea Li Ann WongDepartment of Hematology-Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore.
David ChiaDepartment of Radiation Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore.
Christopher L Asplund *The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0001-5708-6966
Dean Ho *The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-7337-296X
Balamurugan A Vellayappan *Department of Radiation Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore bala_vellayappan@nuhs.edu.sg.ORCID 0000-0002-1077-1840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionConventional interventional modalities for preserving or improving cognitive function in patients with brain tumour undergoing radiotherapy usually involve pharmacological and/or cognitive rehabilitation therapy administered at fixed doses or intensities, often resulting in suboptimal or no response, due to the dynamically evolving patient state over the course of disease. The personalisation of interventions may result in more effective results for this population. We have developed the CURATE.AI COR-Tx platform, which combines a previously validated, artificial intelligence-derived personalised dosing technology with digital cognitive training. METHODS AND ANALYSIS: This is a prospective, single-centre, single-arm, mixed-methods feasibility clinical trial with the primary objective of testing the feasibility of the CURATE.AI COR-Tx platform intervention as both a digital intervention and digital diagnostic for cognitive function. Fifteen patient participants diagnosed with a brain tumour requiring radiotherapy will be recruited. Participants will undergo a remote, home-based 10-week personalised digital intervention using the CURATE.AI COR-Tx platform three times a week. Cognitive function will be assessed via a combined non-digital cognitive evaluation and a digital diagnostic session at five time points: preradiotherapy, preintervention and postintervention and 16-weeks and 32-weeks postintervention. Feasibility outcomes relating to acceptability, demand, implementation, practicality and limited efficacy testing as well as usability and user experience will be assessed at the end of the intervention through semistructured patient interviews and a study team focus group discussion at study completion. All outcomes will be analysed quantitatively and qualitatively. ETHICS AND DISSEMINATION: This study has been approved by the National Healthcare Group (NHG) DSRB (DSRB2020/00249). We will report our findings at scientific conferences and/or in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT04848935.

Indexed as

Artificial IntelligenceBrain NeoplasmsCognitionFeasibility StudiesHumansProspective Studiesclinical trialfeasibility studiesradiotherapytelemedicine

Identifiers

PMID37879700
PMCPMC10603439

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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.