ArticleCritical care (London, England)2009
Understanding genetics of sepsis: will new technology help?
Article in Critical care (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- The Value of Admission Serum IL-8 Monitoring and the Correlation with IL-8 (-251A/T) Polymorphism in Critically Ill Patients.ISRN inflammation · 2014Article
- The role of regulatory T cells in the pathogenesis of sepsis and its clinical implication.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2012Review
- Association between regulatory T cell activity and sepsis and outcome of severely burned patients: a prospective, observational study.Critical care (London, England) · 2010Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput techniques, such as genome-wide scans, will allow genotyping of a large number of single-nucleotide polymorphisms throughout the human genome. There is intense interest to apply this technology to understand genetics of complex traits, including severe sepsis. To effectively utilize this technology, large cohorts of septic patients will have to be recruited. Careful attention should be paid to different aspects of study design and analyses as large, multicenter cohorts are assembled for genome-wide association studies.
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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.