ReviewCritical reviews in biomedical engineering2012
Sepsis: from pattern to mechanism and back.
Review in Critical reviews in biomedical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Utilizing procalcitonin, C-reactive protein, and serum amyloid A in combination for diagnosing sepsis due to urinary tract infection.International urology and nephrology · 2024Article
- Role of vimentin in modulating immune cell apoptosis and inflammatory responses in sepsis.Scientific reports · 2019Article
- Alteration of histone H3 lysine 9 dimethylation in peripheral white blood cells of septic patients with trauma and cancer.Molecular medicine reports · 2016Article
- Insights into the Role of Chemokines, Damage-Associated Molecular Patterns, and Lymphocyte-Derived Mediators from Computational Models of Trauma-Induced Inflammation.Antioxidants & redox signaling · 2015Review
- Roles of Toll-Like Receptor 4, IκB Kinase, and the Proteasome in the Intestinal Alterations Caused by Sepsis.Digestive diseases and sciences · 2015Article
- From data patterns to mechanistic models in acute critical illness.Journal of critical care · 2014Review
- Inducible protein-10, a potential driver of neurally controlled interleukin-10 and morbidity in human blunt trauma.Critical care medicine · 2014Article
- Transcriptional Regulation of the Group IIA Secretory Phospholipase A2 Gene by C/EBPEmergency medicine : open access · 2013Article
- In silico modeling: methods and applications to trauma and sepsis.Critical care medicine · 2013Review
- Glycyrrhizin protects against porcine endotoxemia through modulation of systemic inflammatory response.Critical care (London, England) · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Sepsis is a clinical entity in which complex inflammatory and physiological processes are mobilized, not only across a range of cellular and molecular interactions, but also in clinically relevant physiological signals accessible at the bedside. There is a need for a mechanistic understanding that links the clinical phenomenon of physiologic variability with the underlying patterns of the biology of inflammation, and we assert that this can be facilitated through the use of dynamic mathematical and computational modeling. An iterative approach of laboratory experimentation and mathematical/computational modeling has the potential to integrate cellular biology, physiology, control theory, and systems engineering across biological scales, yielding insights into the control structures that govern mechanisms by which phenomena, detected as biological patterns, are produced. This approach can represent hypotheses in the formal language of mathematics and computation, and link behaviors that cross scales and domains, thereby offering the opportunity to better explain, diagnose, and intervene in the care of the septic patient.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.