ReviewWorld journal of microbiology & biotechnology2019
The challenge of molecular diagnosis of bloodstream infections.
Review in World journal of microbiology & biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- Diagnostic Accuracy of the Biofire FilmArray Blood Culture Identification 2 (BCID2) for Bloodstream Infections in Limpopo, South Africa.Infection and drug resistance · 2026Article
- Fragmentation patterns of pathogen-derived cell-free DNA as a promising non-invasive biomarker for bloodstream infection diagnosis.Practical laboratory medicine · 2025Article
- Bacteria and host: what does this mean for sepsis bottleneck?World journal of emergency medicine · 2025Review
- Comparison of Real-time Polymerase Chain Reaction and Culture for Targeting Pathogens in Pediatric Severe Community-Acquired Pneumonia.Turkish archives of pediatrics · 2024Article
- Bacterial Analysis of the Whole Blood in Chinese Healthy Donors Using 16S rDNA-Targeted Metagenomic Sequencing.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024Article
- Inflammatory mechanisms and intervention strategies for sepsis-induced myocardial dysfunction.Immunity, inflammation and disease · 2023Review
- Clinical Application and Influencing Factor Analysis of Metagenomic Next-Generation Sequencing (mNGS) in ICU Patients With Sepsis.Frontiers in cellular and infection microbiology · 2022Article
- Machine learning identification of specific changes in myeloid cell phenotype during bloodstream infections.Scientific reports · 2021Article
- Antimicrobial Peptides as Probes in Biosensors Detecting Whole Bacteria: A Review.Molecules (Basel, Switzerland) · 2020Review
- Inappropriate initial antimicrobial therapy for hematological malignancies patients with Gram-negative bloodstream infections.Infection · 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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early detection and identification of pathogens in bloodstream infections (BSI) is important to initiate or adjust antibiotic therapy as soon as possible. The current gold standard for diagnostic of BSI infection is the blood culture, that has a turnaround time of one to few days. Molecular tests performed directly in blood samples have promised faster diagnostics, with response times of a few hours, but their implementation into the clinical routine has been hampered by critical technical and procedural problems. Assay integration into laboratory workflows with random-access loading mode and minimal hands-on time is essential to meet rapid response times. Decreasing assay costs will favor fair clinical evaluations and might increase the applicability of the assays. Control of background contamination with bacterial DNA is one of the most difficult problems and might be avoided with pathogen-specific real-time PCR designs oriented to particular patient groups, or perhaps by quantitative, next-generation sequencing approaches.
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.