ArticleEmerging infectious diseases2020
The Problem of Microbial Dark Matter in Neonatal Sepsis.
Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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.
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Molecular assays for the diagnosis of sepsis in neonates: a diagnostic test accuracy review.The Cochrane database of systematic reviews · 2025Pooled it
- [Clinical value of cerebrospinal fluid metagenomic next-generation sequencing in the diagnosis of neonatal intracranial infection].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026Observational
- A comparison of routine blood culture methods and multiplex quantitative PCR for detecting pathogens in simulated polymicrobial blood cultures.Journal of medical microbiology · 2026Article
- Review of Precision Medicine and Diagnosis of Neonatal Illness.Diagnostics (Basel, Switzerland) · 2025Review
- Exploring Microbial Dark Matter for the Discovery of Novel Natural Products: Characteristics, Abundance Challenges and Methods.Journal of microbiology and biotechnology · 2024Review
- Metabolic trade-offs in Neonatal sepsis triggered by TLR4 and TLR1/2 ligands result in unique dysfunctions in neural breathing circuits.Brain, behavior, and immunity · 2024Article
- Advances in single-cell sequencing technology in microbiome research.Genes & diseases · 2024Review
- Paediatric hydrocephalus.Nature reviews. Disease primers · 2024Review
- Application of Advanced Molecular Methods to Study Early-Onset Neonatal Sepsis.International journal of molecular sciences · 2024Review
- Neonatal Sepsis: Aetiology, Pathophysiology, Diagnostic Advances and Management Strategies.Clinical medicine insights. Pediatrics · 2024Review
- Brain imaging with portable low-field MRI.Nature reviews bioengineering · 2023Article
- Paenibacillus spp infection among infants with postinfectious hydrocephalus in Uganda: an observational case-control study.The Lancet. Microbe · 2023Observational
- Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach.Journal of neural engineering · 2023Article
- Metagenomics by next-generation sequencing (mNGS) in the etiological characterization of neonatal and pediatric sepsis: A systematic review.Frontiers in pediatrics · 2023Review
- Type IV Pili Are a Critical Virulence Factor in Clinical Isolates of Paenibacillus thiaminolyticus.mBio · 2022Article
- Culture-confirmed neonatal bloodstream infections and meningitis in South Africa, 2014-19: a cross-sectional study.The Lancet. Global health · 2022Article
- Molecular Methodologies for Improved Polymicrobial Sepsis Diagnosis.International journal of molecular sciences · 2022Review
- A rare case of neonatal meningoencephalitis fromAccess microbiology · 2022Article
- Immune activation duringiScience · 2021Article
- Poisson Kalman filter for disease surveillance.Physical review researchArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Neonatal sepsis (NS) kills 750,000 infants every year. Effectively treating NS requires timely diagnosis and antimicrobial therapy matched to the causative pathogens, but most blood cultures for suspected NS do not recover a causative pathogen. We refer to these suspected but unidentified pathogens as microbial dark matter. Given these low culture recovery rates, many non-culture-based technologies are being explored to diagnose NS, including PCR, 16S amplicon sequencing, and whole metagenomic sequencing. However, few of these newer technologies are scalable or sustainable globally. To reduce worldwide deaths from NS, one possibility may be performing population-wide pathogen discovery. Because pathogen transmission patterns can vary across space and time, computational models can be built to predict the pathogens responsible for NS by region and season. This approach could help to optimally treat patients, decreasing deaths from NS and increasing antimicrobial stewardship until effective diagnostics that are scalable become available globally.
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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.