ReviewCritical care (London, England)2003
Science review: Genetic variability in the systemic inflammatory response.
Review in Critical care (London, England), 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 39 citations in OpenAlex.
- Inflammatory Stewardship-A Perspective for Active Management of Acute Inflammation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Targeting Bacterial Infections in Periodontal Disease: From Conventional Antibiotics to Next-Generation Therapeutics.Antibiotics (Basel, Switzerland) · 2026Review
- Dibenzyl trisulfide induces caspase-independent death and lysosomal membrane permeabilization of triple-negative breast cancer cells.Fitoterapia · 2022Article
- Polymorphisms in Genes Involved in Inflammation and Periodontitis: A Narrative Review.Biomolecules · 2022Review
- Macrophage-derived cytokines in pneumonia: Linking cellular immunology and genetics.Cytokine & growth factor reviews · 2021Review
- Inflammatory and metabolic markers and short-time outcome in patients with acute ischemic stroke in relation to TOAST subtypes.Metabolic brain disease · 2015Article
- Intestinal microbiota and immune function in the pathogenesis of irritable bowel syndrome.American journal of physiology. Gastrointestinal and liver physiology · 2013Review
- Serum levels of high sensitive C reactive protein in healthy adults from southern Brazil.Journal of clinical laboratory analysis · 2013Article
- Association of tumor necrosis factor β genetic polymorphism and sepsis susceptibility.Experimental and therapeutic medicine · 2011Article
- Mechanisms and regulation of the gene-expression response to sepsis.Pediatrics · 2010Review
- The dynamics of health in wild field vole populations: a haematological perspective.The Journal of animal ecology · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present review discusses recent studies that have identified genetic differences in inflammatory proteins associated with different phenotypic presentations of systemic inflammation. Basic genetic terminology is defined. Implications of genetic influences on the inflammatory response are discussed. The published associations of specific polymorphisms in antigen recognition pathways, proinflammatory cytokines, anti-inflammatory cytokines, and effector molecules are reviewed. The strongest and most consistent associations thus far have been with the tumor necrosis factor, lymphotoxin-alpha, and IL-1 receptor antagonist polymorphisms. However, large, phenotypically detailed studies are required to address all of the other potential polymorphisms in inflammatory molecule genes and their interactions.
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.