Evidence map›Paper›PMID 35897349›Full record

ArticleInternational journal of environmental research and public health2022

Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus.

Amartya Mukhopadhyay, Jennifer Sumner, Lieng Hsi Ling, Raphael Hao Chong Quek, Andre Teck Huat Tan, Gim Gee Teng, Santhosh Kumar Seetharaman, Satya Pavan Kumar Gollamudi, Dean Ho, Mehul Motani

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 4% 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.

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

17 citing papers in PubMed, 35 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Amartya MukhopadhyayYong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Jennifer SumnerYong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Lieng Hsi LingYong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Raphael Hao Chong QuekDepartment of Electrical & Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Andre Teck Huat TanDivision of Endocrinology, Department of Medicine, National University Hospital, Singapore 119074, Singapore.
Gim Gee TengYong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Santhosh Kumar SeetharamanHealthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore 159964, Singapore.ORCID 0000-0003-0012-1673
Satya Pavan Kumar GollamudiFAST Programme, Alexandra Hospital, National University Health System, Singapore 159964, Singapore.
Dean HoDepartment of Biomedical Engineering, National University of Singapore, Singapore 119077, Singapore.
Mehul MotaniDepartment of Electrical & Computer Engineering, National University of Singapore, Singapore 117583, Singapore.ORCID 0000-0003-3262-0207
National University of Singapore · SGAlexandra Hospital · SGNational University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic diseases typically require long-term management through healthy lifestyle practices and pharmacological intervention. Although efficacious treatments exist, disease control is often sub-optimal leading to chronic disease-related sequela. Poor disease control can partially be explained by the 'one size fits all' pharmacological approach. Precision medicine aims to tailor treatments to the individual. CURATE.AI is a dosing optimisation platform that considers individual factors to improve the precision of drug therapies. CURATE.AI has been validated in other therapeutic areas, such as cancer, but has yet to be applied in chronic disease care. We will evaluate the CURATE.AI system through a single-arm feasibility study (

Indexed as

Diabetes Mellitus, Type 2HypertensionAlgorithmsArtificial IntelligenceChronic DiseaseFeasibility StudiesHumansRetrospective Studiesambulatory careartificial intelligencechronic disease managementpersonalised medicineself-management

Identifiers

PMID35897349
PMCPMC9332044
OpenAlexW4287009821

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.