ReviewAntibiotics (Basel, Switzerland)2023
Biomarkers of Neonatal Sepsis: Where We Are and Where We Are Going.
Review in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 55 citations in OpenAlex.
- Diagnostic performance of lung ultrasound and procalcitonin in differentiating early neonatal pneumonia from transient tachypnea of the newborn.BMC pediatrics · 2026Observational
- Article
- Restricting C-Reactive Protein Use in Early-Onset Neonatal Sepsis Reduces Unnecessary Antibiotic Exposure.Antibiotics (Basel, Switzerland) · 2026Article
- CBC ratios for early sepsis risk stratification in newborns: EOS/LOS versus non-septic controls.BMC pediatrics · 2026Article
- Evaluation of the Course of Acute-Phase Reactants in the Postoperative Period of Newborns and Their Diagnostic Utility in Identifying Postoperative Sepsis.Diagnostics (Basel, Switzerland) · 2026Article
- Assessment of Serum Interleukins 18 and 22 in Predicting Neonatal Sepsis and Mortality: A Case-Control Study.Clinical medicine insights. Pediatrics · 2026Article
- Review
- A 2004-2025 Bibliometric Study of Genetic Variation and Multiomics Biomarkers in Sepsis Based on 940 Publications.Human mutation · 2026Review
- Bacterial prevalence and inflammatory changes in positive blood culture in community-acquired neonatal sepsis in Jordan.IJID regions · 2025Article
- Developing predictive models for full-term low birth weight infants using ten machine learning algorithms.BMC pediatrics · 2025Article
- Clinical and Laboratory Characteristics of Neonates Treated Due to Suspected Serious Bacterial Infection: Single Center Cross-Sectional Study.Pediatric reports · 2025Article
- Neonatology: First Exposure to Antibiotics from the Ethical Perspective of Parents, Physicians, and Regulators.Antibiotics (Basel, Switzerland) · 2025Article
- Navigating the Diagnostic Maze of Late-Onset Neonatal Sepsis: Are Endotoxin and EBP Potential Navigators?Indian journal of pediatrics · 2025Article
- C-reactive Protein Versus Procalcitonin in the Early Diagnosis of Neonatal Sepsis: A Systematic Review.Cureus · 2025Review
- Article
- Differential roles of interleukin-6 and adrenomedullin in early diagnosis and mortality predictions in late-onset neonatal sepsis.Clinical and experimental pediatrics · 2025Article
- Epidemiology and management of infections in critically ill neonates: findings from a cohort study in a Brazilian neonatal intensive care unit.Journal of medical microbiology · 2025Article
- Diagnostic Value of Umbilical Cord Blood Interleukin-6 Level in Premature Infants with Early-Onset Sepsis.Children (Basel, Switzerland) · 2025Article
- Comparative analysis of inflammatory biomarkers for the diagnosis of neonatal sepsis: IL-6, IL-8, SAA, CRP, and PCT.Open life sciences · 2025Article
- Metabolomics in neonatal sepsis: A critical appraisal of current evidence.Computational and structural biotechnology journal · 2025Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neonatal sepsis is a bacterial bloodstream infection leading to severe clinical manifestations frequently associated with death or irreversible long-term deficits. Antibiotics are the drug of choice to treat sepsis, regardless of age. In neonates, the lack of reliable criteria for a definite diagnosis and the supposition that an early antibiotic administration could reduce sepsis development in children at risk have led to a relevant antibiotic overuse for both prevention and therapy. The availability of biomarkers of neonatal sepsis that could alert the physician to an early diagnosis of neonatal sepsis could improve the short and long-term outcomes of true sepsis cases and reduce the indiscriminate and deleterious use of preventive antibiotics. The main aim of this narrative review is to summarize the main results in this regard and to detail the accuracy of currently used biomarkers for the early diagnosis of neonatal sepsis. Literature analysis showed that, despite intense research, the diagnosis of neonatal sepsis and the conduct of antibiotic therapy cannot be at present decided on the basis of a single biomarker. Given the importance of the problem and the need to reduce the abuse of antibiotics, further studies are urgently required. However, instead of looking for new biomarkers, it seems easier and more productive to test combinations of two or more of the presently available biomarkers. Moreover, studies based on omics technologies should be strongly boosted. However, while waiting for new information, the use of the clinical scores prepared by some scientific institutions could be suggested. Based on maternal risk factors and infant clinical indicators, sepsis risk can be calculated, and a significant reduction in antibiotic consumption can be obtained.
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.