Evidence map›Paper›PMID 39725440›Full record

ArticleBMJ open2024

Paediatric Personalized Research Network Switzerland (SwissPedHealth): a joint paediatric national data stream.

Rebeca Mozun, Fabiën N Belle, Andrea Agostini, Matthias R Baumgartner, Jacques Fellay, Christopher B Forrest, D Sean Froese, Eric Giannoni, Sandra Goetze, Kathrin Hofmann and 19 more

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02735824 (Genetic Study of Immunodeficiency), which is not on this 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.

NCT02735824 recruitingnot on this map

Genetic Study of Immunodeficiency: Search for New Genetic Causes for Primary Immunodeficiencies

TypeobservationalSponsorUniversity Children's Hospital, ZurichRan2016 to 2027Enrolled500ConditionsImmunologic Deficiency Syndromes, Primary Immune Deficiency (PID)ArmsSkin Biopsy, Mouth Swab or Saliva Collection, Blood Sampling
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Cohort Profile Update: The Swiss Childhood Cancer Survivor Cohort.International journal of epidemiology · 2026
    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

29 authors.

Rebeca MozunDepartment of Intensive Care and Neonatology and Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-5237-8668
Fabiën N BelleInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-0037-4817
Andrea AgostiniDepartment of Computer Science, Institute for Machine Learning, ETH Zurich, Zurich, Switzerland.
Matthias R BaumgartnerDivision of Metabolism and Children's Research Center, University of Zurich, University Children's Hospital Zürich, Zurich, Switzerland.
Jacques FellaySchool of Life Sciences, EPFL, Lausanne, Switzerland.
Christopher B ForrestCentre for Applied Clinical Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
D Sean FroeseDivision of Metabolism and Children's Research Center, University of Zurich, University Children's Hospital Zürich, Zurich, Switzerland.
Eric GiannoniClinic of Neonatology, University of Lausanne, University Hospital of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-0897-6529
Sandra GoetzePHRT Swiss Multi-Omics Centre (SMOC), ETH Zurich, Zurich, Switzerland.
Kathrin HofmannPatient and Family Advisory Committee, SwissPedHealth, Zurich, Switzerland.
Philipp LatzinDivision of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, University of Bern, Inselspital University Hospital Bern, Bern, Switzerland.
Roger LauenerOstschweizer Kinderspital, St Gallen, Switzerland.
Aurélie Martin NeckerPatient and Family Advisory Committee, SwissPedHealth, Geneva, Switzerland.
Kelly OrmondInstitute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1033-0818
Jana Pachlopnik SchmidDivision of Immunology and Children's Research Centre, University Children's Hospital Zürich, Zurich, Switzerland.
Patrick G A PedrioliPHRT Swiss Multi-Omics Centre (SMOC), ETH Zurich, Zurich, Switzerland.
Klara M Posfay-BarbeHôpitaux Universitaires de Genève, Geneva, Switzerland.
Anita RauchInstitute of Medical Genetics, University of Zurich, Zurich, Switzerland.
Sven M SchulzkeDepartment of Neonatology, UKBB, Basel, Switzerland.
Martin StockerLuzerner Kantonsspital, Luzern, Switzerland.
Ben D SpycherInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Effy VayenaInstitute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-1303-5467
Tatjana WelzelPaediatric Research Center, UKBB, Basel, Switzerland.
Nicola ZamboniPHRT Swiss Multi-Omics Centre (SMOC), ETH Zurich, Zurich, Switzerland.
Julia E VogtDepartment of Computer Science, Institute for Machine Learning, ETH Zurich, Zurich, Switzerland.
Luregn J SchlapbachDepartment of Intensive Care and Neonatology and Children's Research Center, University Children's Hospital Zürich, Zurich, Switzerland luregn.schlapbach@kispi.uzh.ch.
Julia A BielickiPaediatric Research Center, UKBB, Basel, Switzerland.
Claudia E KuehniInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
SwissPedHealth consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChildren represent a large and vulnerable patient group. However, the evidence base for most paediatric diagnostic and therapeutic procedures remains limited or is often inferred from adults. There is an urgency to improve paediatric healthcare provision based on real-world evidence generation. Digital transformation is a unique opportunity to shape a data-driven, agile, learning healthcare system and deliver more efficient and personalised care to children and their families. The goal of Paediatric Personalized Research Network Switzerland (SwissPedHealth) is to build a sustainable and scalable infrastructure to make routine clinical data from paediatric hospitals in Switzerland interoperable, standardised, quality-controlled, and ready for observational research, quality assurance, trials and health-policy creation. This study describes the design, aims and current achievements of SwissPedHealth. METHODS AND ANALYSIS: SwissPedHealth was started in September 2022 as one of four national data streams co-funded by the Swiss Personalized Health Network (SPHN) and the Personalized Health and Related Technologies (PHRT). SwissPedHealth develops modular governance and regulatory strategies and harnesses SPHN automatisation procedures in collaboration with clinical data warehouses, the Data Coordination Center, Biomedical Information Technology Network, and other SPHN institutions and funded projects. The SwissPedHealth consortium is led by a multisite, multidisciplinary Steering Committee, incorporating patient and family representatives. The data stream contains work packages focusing on (1) governance and implementation of standardised data collection, (2) nested projects to test the feasibility of the data stream, (3) a lighthouse project that enriches the data stream by integrating multi-omics data, aiming to improve diagnoses of rare diseases and 4) engagement with families through patient and public involvement activities and bioethics interviews. ETHICS AND DISSEMINATION: The health database regulation of SwissPedHealth was approved by the ethics committee (AO_2022-00018). Research findings will be disseminated through national and international conferences and publications in peer-reviewed journals, and in lay language via online media and podcasts.

Indexed as

PediatricsPrecision MedicineBiomedical ResearchChildHospitals, PediatricHumansSwitzerlandChildElectronic Health RecordsEPIDEMIOLOGYPAEDIATRICS

Identifiers

PMID39725440
PMCPMC11683899

What OpenQuestion holds

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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.