Evidence map›Paper›PMID 29162092›Full record

ArticleBMC health services research2017

Applying systems biology to biomedical research and health care: a précising definition of systems medicine.

Sebastian Schleidgen, Sandra Fernau, Henrike Fleischer, Christoph Schickhardt, Ann-Kristin Oßa, Eva C Winkler

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Roadmap for a Systems Biology Initiative in Iran.Journal of medical signals and sensors · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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  12. Article
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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

6 authors.

Sebastian SchleidgenFaculty of Nursing Science, University of Philosophy and Theology Vallendar, Vallendar, Germany. sschleidgen@pthv.de.ORCID http://orcid.org/0000-0002-7564-8675
Sandra FernauChair of Systematic Theology II (Ethics), Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany.
Henrike FleischerInstitute for German, European and International Medical Law, Public Health Law and Bioethics (IMGB), Universities of Heidelberg and Mannheim, Mannheim, Germany.
Christoph SchickhardtNational Center for Tumor Diseases (NCT), Program for Ethics and Patient-Oriented Care, Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Ann-Kristin OßaNational Center for Tumor Diseases (NCT), Program for Ethics and Patient-Oriented Care, Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Eva C WinklerNational Center for Tumor Diseases (NCT), Program for Ethics and Patient-Oriented Care, Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany.

Funding

Bundesministerium für Bildung und Forschung 01GP1404
6 · The paper itself

Abstract

backgroundSystems medicine has become a key word in biomedical research. Although it is often referred to as P4-(predictive, preventive, personalized and participatory)-medicine, it still lacks a clear definition and is open to interpretation. This conceptual lack of clarity complicates the scientific and public discourse on chances, risks and limits of Systems Medicine and may lead to unfounded hopes. Against this background, our goal was to develop a sufficiently precise and widely acceptable definition of Systems Medicine.

methodsIn a first step, PubMed was searched using the keyword "systems medicine". A data extraction tabloid was developed putting forward a means/ends-division. Full-texts of articles containing Systems Medicine in title or abstract were screened for definitions. Definitions were extracted; their semantic elements were assigned as either means or ends. To reduce complexity of the resulting list, summary categories were developed inductively. In a second step, we applied six criteria for adequate definitions (necessity, non-circularity, non-redundancy, consistency, non-vagueness, and coherence) to these categories to derive a so-called précising definition of Systems Medicine.

resultsWe identified 185 articles containing the term Systems Medicine in title or abstract. 67 contained at least one definition of Systems Medicine. In 98 definitions, we found 114 means and 132 ends. From these we derived the précising definition: Systems Medicine is an approach seeking to improve medical research (i.e. the understanding of complex processes occurring in diseases, pathologies and health states as well as innovative approaches to drug discovery) and health care (i.e. prevention, prediction, diagnosis and treatment) through stratification by means of Systems Biology (i.e. data integration, modeling, experimentation and bioinformatics). Our study also revealed the visionary character of Systems Medicine.

conclusionsOur insights, on the one hand, allow for a realistic identification of actual ethical as well as legal issues arising in the context of Systems Medicine and, in consequence, for a realistic debate of questions concerning its matter and (future) handling. On the other hand, they help avoiding unfounded hopes and unrealistic expectations. This especially holds for goals like improving patient participation which are intensely debated in the context of Systems Medicine, however not implied in the concept.

Indexed as

Systems AnalysisSystems BiologyBiomedical ResearchDelivery of Health CareHumansResearch DesignBioinformaticsConceptual vaguenessData integrationModelingPatient participationStratification

Identifiers

PMID29162092
PMCPMC5698952

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.