ArticleCritical care (London, England)2013
Rapid diagnosis of sepsis using biomarker signatures.
Article in Critical care (London, England), 2013. 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
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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.
- MicroRNA-23a-3p targeting of HMGB1 inhibits LPS-induced inflammation in murine macrophagesExperimental and therapeutic medicine · 2022Article
- Identification of key immune genes for sepsis-induced ARDS based on bioinformatics analysis.Bioengineered · 2022Article
- Sepsis induced by Staphylococcus aureus: participation of biomarkers in a murine model.Medical science monitor : international medical journal of experimental and clinical research · 2015Article
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1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diagnosis of sepsis is complicated by non-specific clinical definitions and delays in laboratory analysis using tests which may have very poor predictive values. The use of host biomarker signature sets, which when measured in combination have high predictive values, offers a paradigm shift forwards for rapid, near-patient diagnosis. These analyses more closely mirror the rapid blood chemistry and hematology analyses which often are used for near-patient testing and diagnosis.
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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.