Evidence map›Paper›PMID 29497170›Full record

ReviewExperimental & molecular medicine2018

Whither systems medicine?

Rolf Apweiler, Tim Beissbarth, Michael R Berthold, Nils Blüthgen, Yvonne Burmeister, Olaf Dammann, Andreas Deutsch, Friedrich Feuerhake, Andre Franke, Jan Hasenauer and 22 more

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Deep learning in systems medicine.Briefings in bioinformatics · 2021
    Review
  16. Review
  17. Article
  18. Are all models wrong?Computational and systems oncology · 2020
    Article
  19. Strategies for Testing Intervention Matching Schemes in Cancer.Clinical pharmacology and therapeutics · 2020
    Review
  20. 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

32 authors.

Rolf ApweilerEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Tim BeissbarthInstitute of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Michael R BertholdFachbereich Informatik und Informationswissenschaft, Universität Konstanz, Konstanz, Germany.
Nils BlüthgenInstitute of Pathology, Charité Universitätsmedizin, Berlin, Germany.
Yvonne BurmeisterBiologische Heilmittel Heel GmbH, Baden-Baden, Germany.
Olaf DammannDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA.
Andreas DeutschCenter for Information Services and High Performance Computing, Technische Universität Dresden, Dresden, Germany.
Friedrich FeuerhakeInstitute for Pathology, Neuropathology, Hannover Medical School, Hannover, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Jan HasenauerInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Steve HoffmannTranscriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany.
Thomas HöferDivision of Theoretical Systems Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Peter Lm JansenMaastricht Center for Systems Biology, University of Maastricht, Maastricht, The Netherlands.
Lars KaderaliInstitute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
Ursula KlingmüllerDivision of Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Ina KochMolecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University Frankfurt am Main, Frankfurt am Main, Germany.
Oliver KohlbacherCenter for Bioinformatics, University of Tübingen, Tübingen, Germany.
Lars KuepferComputational Systems Biology, Bayer Technology Services GmbH, Leverkusen, Germany.
Frank LammertDepartment of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany.
Dieter MaierBiomax Informatics AG, Planegg (Munich), Germany.
Nico PfeiferDepartment of Computational Biology and Applied Algorithmics, Max-Planck-Institut für Informatik, Saarbrücken, Germany.
Nicole RaddeInstitute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany.
Markus RehmStuttgart Research Center Systems Biology, University of Stuttgart, Stuttgart, Germany.
Ingo RoederInstitute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine,Technische Universität Dresden, Dresden, Germany.
Julio Saez-RodriguezEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Ulrich SaxDepartment of Medical Informatics, University Medical Center, Göttingen, Germany.
Bernd SchmeckInstitute for Lung Research/iLung, Universities of Giessen and Marburg Lung Center, Philipps University Marburg, Marburg, Germany, Member of the German Center for Lung Research, Marburg, Germany.
Andreas SchuppertJoint Research Center for Computational Biomedicine, AICES, RWTH Aachen University, Aachen, Germany.
Bernd SeilheimerBiologische Heilmittel Heel GmbH, Baden-Baden, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Julio VeraLaboratory of Systems Tumor Immunology, Friedrich-Alexander University Erlangen-Nürnberg and Erlangen University Hospital, Erlangen, Germany.
Olaf WolkenhauerDepartment of Systems Biology and Bioinformatics, Rostock University, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New technologies to generate, store and retrieve medical and research data are inducing a rapid change in clinical and translational research and health care. Systems medicine is the interdisciplinary approach wherein physicians and clinical investigators team up with experts from biology, biostatistics, informatics, mathematics and computational modeling to develop methods to use new and stored data to the benefit of the patient. We here provide a critical assessment of the opportunities and challenges arising out of systems approaches in medicine and from this provide a definition of what systems medicine entails. Based on our analysis of current developments in medicine and healthcare and associated research needs, we emphasize the role of systems medicine as a multilevel and multidisciplinary methodological framework for informed data acquisition and interdisciplinary data analysis to extract previously inaccessible knowledge for the benefit of patients.

Indexed as

Biomedical ResearchSystems AnalysisDecision Support Systems, ClinicalHumansTranslational Research, Biomedical

Identifiers

PMID29497170
PMCPMC5898894

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.