Evidence map›Paper›PMID 42360636›Full record

ArticleEuropean journal of epidemiology2026

Cohort profile: Swiss personalized health network cohort consortium.

Murielle Bochud, Samuel El Bouzaïdi Tiali, Jan Armida, Rita Wissa, Sabine Österle, Juan Manuel Blanco, Jean Pierre Ghobril, Yves Henchoz, Valérie Pittet, Pascal Benkert and 19 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Murielle BochudUnisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland. murielle.bochud@unisante.ch.ORCID http://orcid.org/0000-0002-5727-0218
Samuel El Bouzaïdi TialiResearch Institute of the McGill University Health Centre, Montreal, Canada.
Jan ArmidaSIB Swiss Institute of Bioinformatics, Swiss Personalized Health Network, Basel, Switzerland.ORCID http://orcid.org/0009-0007-4250-3983
Rita WissaResearch Institute of the McGill University Health Centre, Montreal, Canada.
Sabine ÖsterleSIB Swiss Institute of Bioinformatics, Swiss Personalized Health Network, Basel, Switzerland.ORCID http://orcid.org/0000-0003-3248-7899
Juan Manuel BlancoUnisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Jean Pierre GhobrilUnisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Yves HenchozUnisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Valérie PittetUnisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Pascal BenkertDepartments of Biomedicine and Clinical Research, Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience, University Hospital and University of Basel, Basel, Switzerland.
Jens KuhleDepartments of Biomedicine and Clinical Research, Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience, University Hospital and University of Basel, Basel, Switzerland.
Enrique CastelaoDepartment of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, University Hospital and University of Lausanne, Lausanne, Switzerland.
Martin PreisigDepartment of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, University Hospital and University of Lausanne, Lausanne, Switzerland.
Carlo ChizzoliniSchool of Medicine, Clinical Immunology, Geneva University Hospital and Pathology and Immunology, University of Geneva, Geneva, Switzerland.
Huldrych F GünthardDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
Katharina KusejkoDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
Medea ImbodenDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Nicole Probst-HenschDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Michael KollerSwiss Transplant Cohort Study, University Hospital Basel, Basel, Switzerland.
Pedro Marques-VidalDepartment of Medicine, Internal medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Peter VollenweiderDepartment of Medicine, Internal medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Menno PruijmDepartment of Medicine, Service of Nephrology and Hypertension, University Hospital and university of Lausanne, Lausanne, Switzerland.
Andri RauchDepartment of Infectious Diseases, Inselspital, University Hospital and University of Bern, Bern, Switzerland.
Camillo RibiDepartment of Medicine, Immunology and Allergy, University Hospital and University of Lausanne, Lausanne, Switzerland.
Almut SchererStatistics Group, Swiss Clinical Quality Management Foundation, Zürich, Switzerland.
Christoph TellenbachStatistics Group, Swiss Clinical Quality Management Foundation, Zürich, Switzerland.
Belen PonteUnisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
Julien VaucherDepartment of Medicine, Internal medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
Isabel FortierResearch Institute of the McGill University Health Centre, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Swiss cohort studies provide high-quality longitudinal data, but finding and comparing relevant studies across cohorts has historically been challenging. The Swiss Personalized Health Network Cohort Consortium (SPHN-CC) was established to address these limitations by creating the first coordinated network of Swiss cohort studies within the internationally recognized Maelstrom Research catalogue. Participating cohorts were invited in 2021-2022, including longitudinal and cross-sectional studies with 1010-21,993 participants. Data collected include questionnaires, physical and cognitive assessments, administrative records, and biological samples. Variables were classified into 18 domains and 134 subdomains, and an online metadata catalogue was implemented to document study designs, explore variable content, and assess harmonization potential. The catalogue enables researchers to identify study-specific and harmonized variables for co-analysis. Core variables, such as age, sex/gender, anthropometrics, and medication use, are widely available, while other variables vary across cohorts. Harmonization assessments demonstrate that several key variables can be co-analyzed across multiple studies, supporting collaborative research with over 37,000 participants. A use case illustrates the potential for harmonizing and co-analyzing data across studies. The SPHN-CC strengthens Swiss cohort research by enhancing data discoverability, supporting harmonization, and facilitating cross-cohort and international research, providing a model for more efficient use of high-value longitudinal data.

Indexed as

Cross-cohort analysisData harmonizationData interoperabilityMetadata catalogueSwiss personalized health network (SPHN)

Identifiers

PMID42360636

What Socratic holds

Textmetadata
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 Socratic graph.