ArticleGenome medicine2016
Next-generation sequencing diagnostics of bacteremia in septic patients.
Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03356249 (Next-Generation Sequencing Diagnostics of Bacteremia in Sepsis), which is not on this map. Cited by 203 papers, 3 of them syntheses 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.
Next-Generation Sequencing Diagnostics of Bacteremia in Sepsis (Next GeneSiS-Trial) - Study Protocol for a Prospective, Observational, Non-interventional, Multicenter, Clinical Trial
Who cites it
203 citing papers in PubMed, 3 syntheses or guidelines pooled it, 352 citations in OpenAlex.
- Novel diagnostic markers for periprosthetic joint infection: a systematic review.Frontiers in cellular and infection microbiology · 2023Pooled it
- Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis.Scientific reports · 2022Pooled it
- The Potential Role of Clinical Metagenomics in Infectious Diseases: Therapeutic Perspectives.Drugs · 2021Pooled it
- Effects of a clinical metagenomics intervention on clinical outcomes, healthcare costs, and health-related quality of life in patients with sepsis or septic shock: results of the randomized-controlled DigiSep trial.Intensive care medicine · 2026Trial
- Will previous antimicrobial therapy reduce the positivity rate of metagenomic next-generation sequencing in periprosthetic joint infections? A clinical study.Frontiers in cellular and infection microbiology · 2023Trial
- Analytical and Clinical Evaluation of a Fully Automated Direct-from-Whole-Blood Multiplex PCR Assay Using Large-Volume Reverse Elution for Rapid Bloodstream Infection Diagnosis.Antibiotics (Basel, Switzerland) · 2026Article
- Metagenomics for antimicrobial resistance: from resistome surveillance to mechanistic inference.Journal of bacteriology · 2026Review
- Next-generation sequencing of cell-free microbial DNA in blood samples of critically ill children: a single-center experience.Molecular and cellular pediatrics · 2026Article
- Severe community-acquired pneumonia: an integral approach.Journal of intensive care · 2026Review
- Refining the Clinical Utility of Plasma Microbial Cell-Free DNA Sequencing in High-Risk Population of Infection: A Narrative Review.Infection and drug resistance · 2026Review
- Diagnostic value of metagenomic next-generation sequencing in patients with febrile lung cancer with negative conventional microbiological tests and without neutropenia.Frontiers in cellular and infection microbiology · 2026Article
- Current landscape and challenges in anaerobic bloodstream infections: epidemiology, microbiology, and clinical management.Frontiers in microbiology · 2026Review
- Doing more with less: Genomic quasi-G-primes differentiate septic from healthy patients.PloS one · 2026Article
- Performance of metagenomic next-generation sequencing for bloodstream infections in perioperative critically ill patients- aFrontiers in cellular and infection microbiology · 2026Article
- Prevalence and microbiological profile of septic complications following ECMO decannulation: a prospective single-center study.Scientific reports · 2025Article
- Bacterial cell-free DNA profiling reveals the co-elevation of multiple bacteria in newborn foals with suspected sepsis.iScience · 2025Article
- Cell-free DNA in sepsis: from molecular insights to clinical management.Military Medical Research · 2025Review
- Fragmentation patterns of pathogen-derived cell-free DNA as a promising non-invasive biomarker for bloodstream infection diagnosis.Practical laboratory medicine · 2025Article
- Fragment end motif analysis to distinguish pathogens from contaminants in enriched plasma microbial DNA.medRxiv : the preprint server for health sciences · 2025Article
- Disseminated Mycobacterium kansasii disease complicating Talaromyces marneffei infection in patient with anti-IFN-γ autoantibodies: a case report.BMC infectious diseases · 2025Article
143 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBloodstream infections remain one of the major challenges in intensive care units, leading to sepsis or even septic shock in many cases. Due to the lack of timely diagnostic approaches with sufficient sensitivity, mortality rates of sepsis are still unacceptably high. However a prompt diagnosis of the causative microorganism is critical to significantly improve outcome of bloodstream infections. Although various targeted molecular tests for blood samples are available, time-consuming blood culture-based approaches still represent the standard of care for the identification of bacteria.
methodsHere we describe the establishment of a complete diagnostic workflow for the identification of infectious microorganisms from seven septic patients based on unbiased sequence analyses of free circulating DNA from plasma by next-generation sequencing.
resultsWe found significant levels of DNA fragments derived from pathogenic bacteria in samples from septic patients. Quantitative evaluation of normalized read counts and introduction of a sepsis indicating quantifier (SIQ) score allowed for an unambiguous identification of Gram-positive as well as Gram-negative bacteria that exactly matched with blood cultures from corresponding patient samples. In addition, we also identified species from samples where blood cultures were negative. Reads of non-human origin also comprised fragments derived from antimicrobial resistance genes, showing that, in principle, prediction of specific types of resistance might be possible.
conclusionsThe complete workflow from sample preparation to species identification report could be accomplished in roughly 30 h, thus making this approach a promising diagnostic platform for critically ill patients suffering from bloodstream infections.
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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.