Evidence map›Paper›PMID 34909561›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2021

Human exposome assessment platform.

Roxana Merino Martinez, Heimo Müller, Stefan Negru, Alex Ormenisan, Laila Sara Arroyo Mühr, Xinyue Zhang, Frederik Trier Møller, Mark S Clements, Zisis Kozlakidis, Ville N Pimenoff and 13 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025
    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

23 authors.

Roxana Merino MartinezKarolinska Institutet, Stockholm, Sweden.
Heimo MüllerMedical University Graz, Graz, Austria.
Stefan NegruCSC-IT Center for Science Ltd, Espoo, Finland.
Alex OrmenisanLogical Clocks AB, Stockholm, Sweden.
Laila Sara Arroyo MührKarolinska Institutet, Stockholm, Sweden.
Xinyue ZhangStanford University, Stanford, CA.
Frederik Trier MøllerInfectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Mark S ClementsKarolinska Institutet, Stockholm, Sweden.
Zisis KozlakidisInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Ville N PimenoffKarolinska Institutet, Stockholm, Sweden.
Bartlomiej WilkowskiDanish National Biobank, Statens Serum Institut, Copenhagen, Denmark.
Martin BoeckhoutMLCF (Stichting MLC Foundation), The Hague, The Netherlands.
Hanna ÖhmanFaculty of Medicine, University of Oulu, Oulu, Finland.
Steven ChongDanish National Biobank, Statens Serum Institut, Copenhagen, Denmark.
Andreas HolzingerMedical University Graz, Graz, Austria.
Matti LehtinenKarolinska Institutet, Stockholm, Sweden.
Evert-Ben van VeenMLCF (Stichting MLC Foundation), The Hague, The Netherlands.
Piotr BałaUniversity of Warsaw, Warsaw, Poland.
Martin WidschwendterResearch Institute for Biomedical Aging Research, Universität Innsbruck, Innsbruck, Austria.
Jim DowlingLogical Clocks AB, Stockholm, Sweden.
Juha TörnroosCSC-IT Center for Science Ltd, Espoo, Finland.
Michael P SnyderStanford University, Stanford, CA.
Joakim DillnerKarolinska Institutet, Stockholm, Sweden.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The Human Exposome Assessment Platform (HEAP) is a research resource for the integrated and efficient management and analysis of human exposome data. The project will provide the complete workflow for obtaining exposome actionable knowledge from population-based cohorts. HEAP is a state-of-the-science service composed of computational resources from partner institutions, accessed through a software framework that provides the world's fastest Hadoop platform for data warehousing and applied artificial intelligence (AI). The software, will provide a decision support system for researchers and policymakers. All the data managed and processed by HEAP, together with the analysis pipelines, will be available for future research. In addition, the platform enables adding new data and analysis pipelines. HEAP's final product can be deployed in multiple instances to create a network of shareable and reusable knowledge on the impact of exposures on public health.

Indexed as

AIBioinformaticsCohortData managementExposomeFAIRIaaSMachine learningPaaS

Identifiers

PMID34909561
PMCPMC8663864

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.