Evidence map›Paper›PMID 29220509›Full record

ReviewBriefings in bioinformatics2019

Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine.

Massimiliano Zanin, Ivan Chorbev, Blaz Stres, Egils Stalidzans, Julio Vera, Paolo Tieri, Filippo Castiglione, Derek Groen, Huiru Zheng, Jan Baumbach and 6 more

Open access · hybridAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.2field-weighted citation impact, top 4% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Deep learning in systems medicine.Briefings in bioinformatics · 2021
    Review
  6. Review
  7. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  8. Review
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

16 authors at 7 institutions in 6 countries.

Massimiliano ZaninUniversidade Nove de Lisboa.
Ivan ChorbevFaculty for Computer Science and Engineering, University Ss. Cyril and Methodius in Skopje.
Blaz StresMicrobiology at University of Ljubljana, Slovenia.
Egils StalidzansVirtual Physiological Human Institute.
Julio VeraSystems Tumor Immunology at the FAU Erlangen-Nuremberg, Germany.
Paolo TieriNetwork biology, systems medicine and theoretical immunology.
Filippo CastiglioneComplex systems andmathematical biology.
Derek GroenSimulation and Modelling at Brunel University London.
Huiru ZhengComputer Science at Ulster University, United Kingdom.
Jan BaumbachComputational Biomedicine, University of Southern Denmark.
Johannes A SchmidInflammation, cardiovascular diseases and cancer, at molecular, cellular and clinical levels.
José BasilioMedical University of Vienna.
Peter KlimekSection for Science of Complex Systems at the Medical University of Vienna.
Nataša DebeljakUniversity of Ljubljana, Faculty of Medicine.
Damjana RozmanUniversity of Ljubljana, Faculty of Medicine.
Harald H H W SchmidtTarget discovery and drug development.
University of Ljubljana · SIMedical University of Vienna · ATBrunel University of London · GBSs. Cyril and Methodius University in Skopje · MKTarget (United States) · USUniversity of Southern Denmark · DKUniversity of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems medicine holds many promises, but has so far provided only a limited number of proofs of principle. To address this road block, possible barriers and challenges of translating systems medicine into clinical practice need to be identified and addressed. The members of the European Cooperation in Science and Technology (COST) Action CA15120 Open Multiscale Systems Medicine (OpenMultiMed) wish to engage the scientific community of systems medicine and multiscale modelling, data science and computing, to provide their feedback in a structured manner. This will result in follow-up white papers and open access resources to accelerate the clinical translation of systems medicine.

Indexed as

Data ScienceSystems AnalysisComputer SimulationHumanscomputingdata sciencemodellingsystems medicine

Identifiers

PMID29220509
PMCPMC6135236
OpenAlexW2770756135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.