ArticleJournal of clinical medicine2020
Gene Expression Patterns Distinguish Mortality Risk in Patients with Postsurgical Shock.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Identification of a Four-Gene Signature for Diagnosing Paediatric Sepsis.BioMed research international · 2022Pooled it
- A neutrophil subset defined by intracellular olfactomedin 4 is associated with mortality in sepsis.American journal of physiology. Lung cellular and molecular physiology · 2021Trial
- Mass cytometry reveals complex neutrophil heterogeneity in patients with severe sepsis.Intensive care medicine experimental · 2026Article
- Plasma antioxidant capacity as a predictor of mortality in critically ill patients.Critical care (London, England) · 2026Observational
- Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024Article
- Integrated Bioinformatics Exploration and Preliminary Clinical Verification for the Identification of Crucial Biomarkers in Severe Cases of COVID-19.Journal of inflammation research · 2024Article
- The 'analysis of gene expression and biomarkers for point-of-care decision support in Sepsis' study; temporal clinical parameter analysis and validation of early diagnostic biomarker signatures for severe inflammation andsepsis-SIRS discrimination.Frontiers in immunology · 2023Article
- Olfactomedin 4 Is a Biomarker for the Severity of Infectious Diseases.Open forum infectious diseases · 2022Review
- Construction and validation of a robust prognostic model based on immune features in sepsis.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
Nowadays, mortality rates in intensive care units are the highest of all hospital units. However, there is not a reliable prognostic system to predict the likelihood of death in patients with postsurgical shock. Thus, the aim of the present work is to obtain a gene expression signature to distinguish the low and high risk of death in postsurgical shock patients. In this sense, mRNA levels were evaluated by microarray on a discovery cohort to select the most differentially expressed genes between surviving and non-surviving groups 30 days after the operation. Selected genes were evaluated by quantitative real-time polymerase chain reaction (qPCR) in a validation cohort to validate the reliability of data. A receiver-operating characteristic analysis with the area under the curve was performed to quantify the sensitivity and specificity for gene expression levels, which were compared with predictions by established risk scales, such as acute physiology and chronic health evaluation (APACHE) and sequential organ failure assessment (SOFA).
Indexed as
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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.