Evidence map›Paper›PMID 19754960›Full record

ArticleGenome medicine2009

Bridging the gap between systems biology and medicine.

Gilles Clermont, Charles Auffray, Yves Moreau, David M Rocke, Daniel Dalevi, Devdatt Dubhashi, Dana R Marshall, Peter Raasch, Frank Dehne, Paolo Provero and 4 more

Abstract read
In one paragraph

Article in Genome medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Systems Medicine-Complexity Within, Simplicity Without.Journal of healthcare informatics research · 2017
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories forProceedings of the 2014 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation : the CHIC Project Workshop (IARWISOCI) : Athens, Greece, 3-4 November 2014. International Advanced Research Workshop on... · 2014
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Model-based global sensitivity analysis as applied to identification of anti-cancer drug targets and biomarkers of drug resistance in the ErbB2/3 network.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2012
    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

14 authors.

Gilles ClermontDepartment of Critical Care Medicine and CRISMA laboratory, University of Pittsburgh School of Medicine, Scaife 602, 3550 Terrace, Pittsburgh, PA 15261, USA. cler@pitt.edu.
Charles Auffray
Yves Moreau
David M Rocke
Daniel Dalevi
Devdatt Dubhashi
Dana R Marshall
Peter Raasch
Frank Dehne
Paolo Provero
Jesper Tegner
Bruce J Aronow
Michael A Langston
Mikael Benson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems biology has matured considerably as a discipline over the last decade, yet some of the key challenges separating current research efforts in systems biology and clinically useful results are only now becoming apparent. As these gaps are better defined, the new discipline of systems medicine is emerging as a translational extension of systems biology. How is systems medicine defined? What are relevant ontologies for systems medicine? What are the key theoretic and methodologic challenges facing computational disease modeling? How are inaccurate and incomplete data, and uncertain biologic knowledge best synthesized in useful computational models? Does network analysis provide clinically useful insight? We discuss the outstanding difficulties in translating a rapidly growing body of data into knowledge usable at the bedside. Although core-specific challenges are best met by specialized groups, it appears fundamental that such efforts should be guided by a roadmap for systems medicine drafted by a coalition of scientists from the clinical, experimental, computational, and theoretic domains.

Identifiers

PMID19754960
PMCPMC2768995

What OpenQuestion holds

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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.