Evidence map›Paper›PMID 40504832›Full record

ArticlePloS one2025

Cohort profile: The Belgian I AM frontier prospective cohort study for comprehensive health outcome exploration.

Dries Heylen, Charlotte De Clerck, Murih Pusparum, Alejandro Correa Rojo, Rosette Van Den Heuvel, Geert Baggerman, Arnout Standaert, Jan Theunis, Jef Hooyberghs, Gökhan Ertaylan and 1 more

Abstract read
In one paragraph

Article in PloS one, 2025. 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

11 authors.

Dries HeylenEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.ORCID https://orcid.org/0000-0001-7112-9651
Charlotte De ClerckEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Murih PusparumEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Alejandro Correa RojoEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Rosette Van Den HeuvelEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Geert BaggermanCenter for Proteomics, University of Antwerp, Antwerp, Belgium.
Arnout StandaertEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Jan TheunisEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Jef HooyberghsTheory lab, Data Science Institute (DSI), CENSTAT, Hasselt University, Diepenbeek, Belgium.
Gökhan ErtaylanEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Nathalie LambrechtsEnvironmental intelligence Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe I AM Frontier cohort was set up to support proof-of-concepts aimed at personalized prevention and health promotion. The study was designed to identify patterns, markers and processes involved in the spectrum between health and early disease onset, with the aim of generating actionable insights in a clinical setting. STUDY

designA prospective cohort study. The study was approved by the ethics committee of the Antwerp University Hospital (RegN°: B300201938600).

methodsData collection in the I AM Frontier study spanned 12 months as a longitudinal small-scale cohort study (n = 30) conducted in the Antwerp region of Flanders, Belgium. Participants were employees of the company hosting the study, who did not have a clinical diagnosis and were between 45-60 years old.

resultsEven though no severe health problems were recorded at baseline, participants reported several physical complaints. There was a clear difference in longitudinal variation between clinical and research grade omics types, which might have affected their respective ability to detect intermediate molecular changes that were be linked to phenotype changes.

conclusionBy integrating findings from the IAF cohort into a large-scale cohort on personalized prevention, and incorporating new technologies for microsample data collection and participant engagement, we can develop more precise and individualized health recommendations.

Indexed as

Health PromotionPopulation HealthPrimary PreventionBelgiumCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective Studies

Identifiers

PMID40504832
PMCPMC12161581

What OpenQuestion holds

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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.