Evidence map›Paper›PMID 20147315›Full record

ReviewJournal of the Royal Society, Interface2010

Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.

Robert S Parker, Gilles Clermont

Abstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2010. 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
–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

8 citing papers in PubMed.

  1. Embracing complexity in sepsis.Critical care (London, England) · 2023
    Review
  2. Article
  3. Article
  4. A Chemical Engineer's Perspective on Health and Disease.Computers & chemical engineering · 2014
    Article
  5. Article
  6. Article
  7. A Systems Engineering Perspective on Homeostasis and Disease.Frontiers in bioengineering and biotechnology · 2013
    Review
  8. Modeling autism: a systems biology approach.Journal of clinical bioinformatics · 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

2 authors.

Robert S ParkerDepartment of Chemical and Petroleum Engineering, Swanson School of Engineering, University of Pittsburgh, 1249 Benedum Hall, Pittsburgh, PA 15261, USA. rparker@pitt.edu
Gilles Clermont

Funding

Systems Engineering of Pheresis Intervention for SepsisR01HL080926 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KELLUM, JOHN A · 2005 to 2009
$6.8M
NHLBI NIH HHS R01 HL080926NHLBI NIH HHS R01-HL080926
6 · The paper itself

Abstract

The complexity of the systemic inflammatory response and the lack of a treatment breakthrough in the treatment of pathogenic infection demand that advanced tools be brought to bear in the treatment of severe sepsis and trauma. Systems medicine, the translational science counterpart to basic science's systems biology, is the interface at which these tools may be constructed. Rapid initial strides in improving sepsis treatment are possible through the use of phenomenological modelling and optimization tools for process understanding and device design. Higher impact, and more generalizable, treatment designs are based on mechanistic understanding developed through the use of physiologically based models, characterization of population variability, and the use of control-theoretic systems engineering concepts. In this review we introduce acute inflammation and sepsis as an example of just one area that is currently underserved by the systems medicine community, and, therefore, an area in which contributions of all types can be made.

Indexed as

EngineeringHumansInfectionsInflammationMedicineModels, BiologicalSepsisSystems BiologyTranslational Research, Biomedical

Identifiers

PMID20147315
PMCPMC2880083

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.