Evidence map›Paper›PMID 38444327›Full record

ArticleInternational journal of technology assessment in health care2024

A health technology assessment of personalized nutrition interventions using the EUnetHTA HTA Core Model.

Milanne Maria Johanna Galekop, Josep Maria Del Bas, Philip C Calder, Carin A Uyl-De Groot, William Ken Redekop

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2024. 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. Review
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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

5 authors.

Milanne Maria Johanna GalekopErasmus School of Health, Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0760-9850
Josep Maria Del BasEurecat Centre Tecnològic de Catalunya, Biotechnology Area, Reus, Spain.
Philip C CalderSchool of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Carin A Uyl-De GrootErasmus School of Health, Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
William Ken RedekopErasmus School of Health, Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Funding

Horizon 2020 Framework Programme 818318
6 · The paper itself

Abstract

objectivesPoor nutrition links to chronic diseases, emphasizing the need for optimized diets. The EU-funded project PREVENTOMICS, introduced personalized nutrition to address this. This study aims to perform a health technology assessment (HTA) comparing personalized nutrition interventions developed through this project, with non-personalized nutrition interventions (control) for people with normal weight, overweight, or obesity. The goal is to support decisions about further development and implementation of personalized nutrition.

methodsThe PREVENTOMICS interventions were evaluated using the European Network for HTA Core Model, which includes a methodological framework that encompasses different domains for value assessment. Information was gathered via [1] different statistical analyses and modeling studies, [2] questions asked of project partners and, [3] other (un)published materials.

resultsClinical trials of PREVENTOMICS interventions demonstrated different body mass index changes compared to control; differences ranged from -0.80 to 0.20 kg/m

conclusionsPREVENTOMICS clinical trials have shown promising effectiveness with no major safety concerns, although uncertainties about effectiveness exist due to small samples (n=60-264) and short follow-ups (10-16 weeks). Larger, longer trials are needed for robust evidence before implementation could be considered. Among other considerations, developers should explore financing options and collaborate with policymakers to prevent exclusion of specific groups due to information shortages.

Indexed as

Health Status DisparitiesTechnology Assessment, BiomedicalHumansResearch DesignUncertaintyhealth technology assessmentHTA Core Modelobesitypersonalized nutritionprevention

Identifiers

PMID38444327
PMCPMC11569966

What OpenQuestion holds

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LicenceCC BY
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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.