Evidence map›Paper›PMID 39673440›Full record

ArticleBioinformatics (Oxford, England)2024

MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD.

Tim Cadman, Mariska K Slofstra, Marije A van der Geest, Demetris Avraam, Tom R P Bishop, Tommy de Boer, Liesbeth Duijts, Sido Haakma, Eleanor Hyde, Vincent Jaddoe and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

22 authors.

Tim CadmanDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.ORCID 0000-0002-7682-5645
Mariska K SlofstraDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.ORCID 0000-0002-0400-0468
Marije A van der GeestDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.ORCID 0000-0002-1919-6547
Demetris AvraamDepartment of Public Health, University of Copenhagen, Copenhagen, 1353, Denmark.ORCID 0000-0001-8908-2441
Tom R P BishopMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, United Kingdom.
Tommy de BoerDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Liesbeth DuijtsDepartment of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands.
Sido HaakmaDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Eleanor HydeDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.ORCID 0000-0003-2744-0017
Vincent JaddoeDepartment of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands.
Tarik KarramassDepartment of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands.
Fleur KelpinDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Yannick MarconEpigeny, Paris, France.
Angela Pinot de MoiraDepartment of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, United Kingdom.ORCID 0000-0003-3593-8472
Dick PostmaDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Clemens TolboomDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Ruben L VeenstraDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Stuart WheaterArjuna Technologies, Newcastle Helix, Urban Science Building, Newcastle upon Tyne, NE4 5TG, United Kingdom.ORCID 0009-0003-2419-1964
Marieke WeltenDepartment of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3015 GD, The Netherlands.
Rebecca C WilsonDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, L69 3GF, United Kingdom.ORCID 0000-0003-2294-593X
Erik ZwartDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.
Morris SwertzDepartment of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands.ORCID 0000-0002-4552-003X

Funding

ATHLETE 874583EUCAN-Connect 824989LifeCycle 733206LongITools 874739
6 · The paper itself

Abstract

summaryExtensive human health data from cohort studies, national registries, and biobanks can reveal lifecourse risk factors impacting health. Combining these sources offers increased statistical power, rare outcome detection, replication of findings, and extended study periods. Traditionally, this required data transfer to a central location or separate partner analyses with pooled summary statistics, posing ethical, legal, and time constraints. Federated analysis-which involves remote data analysis without sharing individual-level data-is a promising alternative. One promising solution is DataSHIELD (https://datashield.org/), an open-source R based implementation. To enable federated analysis, data owners need a user-friendly way to install the federated infrastructure and manage users and data. Here, we present MOLGENIS Armadillo: a lightweight server for federated analysis solutions such as DataSHIELD. AVAILABILITY AND IMPLEMENTATION: Armadillo is implemented as a collection of three packages freely available under the open source licence LGPLv3: two R packages downloadable from the Comprehensive R Archive Network (CRAN) ("MolgenisArmadillo" and "DSMolgenisArmdillo") and one Java application ("ArmadilloService") as jar and docker images via Github (https://github.com/molgenis/molgenis-service-armadillo).

Indexed as

Computational BiologySoftwareHumans

Identifiers

PMID39673440
PMCPMC11734753

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.