ArticleAnnals of surgery2020
Prospective Validation of a Transcriptomic Metric in Severe Trauma.
Article in Annals of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 32 citations in OpenAlex.
- Infusion of young donor plasma components in older patients modifies the immune and inflammatory response to surgical tissue injury: a randomized clinical trial.Journal of translational medicine · 2025Trial
- Analysis of the Plasma Metabolome after Trauma, Novel Circulating Sphingolipid Signatures, and In-Hospital Outcomes.Journal of the American College of Surgeons · 2021Trial
- Preferential inhibition of adaptive immune system dynamics by glucocorticoids in patients after acute surgical trauma.Nature communications · 2020Trial
- Utilizing predictive machine-learning modelling unveils feature-based risk assessment system for hyperinflammatory patterns and infectious outcomes in polytrauma.Frontiers in immunology · 2023Article
- Lipidomic signatures align with inflammatory patterns and outcomes in critical illness.Nature communications · 2022Article
- Multi-Omic Admission-Based Prognostic Biomarkers Identified by Machine Learning Algorithms Predict Patient Recovery and 30-Day Survival in Trauma Patients.Metabolites · 2022Article
- Chronic Critical Illness Elicits a Unique Circulating Leukocyte Transcriptome in Sepsis Survivors.Journal of clinical medicine · 2021Article
- Hemorrhagic Shock Induces a Rapid Transcriptomic Shift of the Immune Balance in Leukocytes after Experimental Multiple Injury.Mediators of inflammation · 2021Article
- Iodine Redistribution During Trauma, Sepsis, and Hibernation: An Evolutionarily Conserved Response to Severe Stress.Critical care explorations · 2020Article
- Observational
- Immunological Endotyping of Chronic Critical Illness After Severe Sepsis.Frontiers in medicine · 2020Review
- Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.Scientific data · 2019Article
- Cell-free nuclear, but not mitochondrial, DNA concentrations correlate with the early host inflammatory response after severe trauma.Scientific reports · 2019Article
- Diagnosing and Managing Sepsis by Probing the Host Response to Infection: Advances, Opportunities, and Challenges.Journal of clinical microbiology · 2019Review
Corrections and comments
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Authors and funding
18 authors at 5 institutions in 1 country.
Funding
Abstract
PubMed holds no abstract for this paper.
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.