ArticleBioMed research international2019
Identification of Potential Transcriptional Biomarkers Differently Expressed in Both
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transcriptomic Profiling Identifies Neutrophil-Specific Upregulation of Cystatin F as a Marker of Acute Inflammation in Humans.Frontiers in immunology · 2021Pooled it
- A potential XGBoost Diagnostic Score forFrontiers in immunology · 2025Article
- Evaluating the Causal Effects of Circulating Proteome on the Risk of Sepsis and Related Outcomes.ACS omega · 2024Article
- Identification and validation of diagnostic biomarkers and immune cell abundance characteristics inFrontiers in immunology · 2024Article
- Transcriptional markers classifying Escherichia coli and Staphylococcus aureus induced sepsis in adults: A data-driven approach.PloS one · 2024Article
- Deciphering the molecular and cellular atlas of immune cells in septic patients with different bacterial infections.Journal of translational medicine · 2023Review
- Identification of key biomarkers in neonatal sepsis by integrated bioinformatics analysis and clinical validation.Heliyon · 2022Article
- Identification of key genes related to immune cells in patients with gram-negative sepsis based on weighted gene co-expression network analysis.Annals of translational medicine · 2022Article
- Identification of Nine mRNA Signatures for Sepsis Using Random Forest.Computational and mathematical methods in medicine · 2022Article
- Insights Into the Impact of Small RNA SprC on the Metabolism and Virulence ofFrontiers in cellular and infection microbiology · 2022Article
- Role of the F-BAR Family Member PSTPIP2 in Autoinflammatory Diseases.Frontiers in immunology · 2021Review
- Comprehensive Analysis of Common Different Gene Expression Signatures in the Neutrophils of Sepsis.BioMed research international · 2021Article
- Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis.Journal of inflammation research · 2021Article
- Annexin A3 in sepsis: novel perspectives from an exploration of public transcriptome data.Immunology · 2020Review
- Bioinformatics Analysis for Multiple Gene Expression Profiles in Sepsis.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a critical, complex medical condition, and the major causative pathogens of sepsis are both
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.