ArticleComputational and mathematical methods in medicine2018
Potential Genes and Pathways of Neonatal Sepsis Based on Functional Gene Set Enrichment Analyses.
Article in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Using molecular methods to diagnose, classify, and treat neonatal sepsis: a scoping review.Frontiers in pediatrics · 2025Pooled it
- Computational discovery ofFrontiers in immunology · 2026Article
- The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.Frontiers in immunology · 2024Article
- Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis.Journal of inflammation research · 2021Article
- Identification of Key Immune-Related Genes in the Progression of Septic Shock.Frontiers in genetics · 2021Article
- Gene correlation network analysis to identify regulatory factors in sepsis.Journal of translational medicine · 2020Article
- Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling.Computational and mathematical methods in medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeonatal sepsis (NS) is considered as the most common cause of neonatal deaths that newborns suffer from. Although numerous studies focus on gene biomarkers of NS, the predictive value of the gene biomarkers is low. NS pathogenesis is still needed to be investigated.
methodsAfter data preprocessing, we used KEGG enrichment method to identify the differentially expressed pathways between NS and normal controls. Then, functional principal component analysis (FPCA) was adopted to calculate gene values in NS. In order to further study the key signaling pathway of the NS, elastic-net regression model, Mann-Whitney
resultsA total of 115 different pathways between NS and controls were first identified. FPCA made full use of time-series gene expression information and estimated
conclusionThis research might provide the perspective information to explore the potential novel genes and pathways as NS therapy targets.
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.