ReviewClinical microbiology reviews2020
Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.
Review in Clinical microbiology reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Consistency between metagenomic next-generation sequencing versus traditional microbiological tests for infective disease: systemic review and meta-analysis.Critical care (London, England) · 2025Pooled it
- Article
- Changes in Access to Comprehensive Clinical Microbiology Laboratory Testing in Tennessee From 2019-2024.Open forum infectious diseases · 2026Article
- Enhancing clinical laboratory quality in Rwanda: addressing healthcare expectations and future fitness - insights from observations and perspectives of physicians and laboratory professionals.BMC health services research · 2026Article
- Building the next frontier: Artificial intelligence in 3D-printed medicines.Biomaterials translational · 2026Review
- Next-generation hybrid bioanalytical platforms and clinical integration of TDM technologies for precision monitoring to optimize last-resort antibiotic therapy.Frontiers in pharmacology · 2026Review
- Integrating artificial intelligence with genome sequencing against antimicrobial resistance: a narrative review.Frontiers in public health · 2026Review
- Deep Learning-Based Rapid Identification ofRisk management and healthcare policy · 2026Article
- Metagenomic next-generation sequencing (mNGS) guides targeted antibiotic therapy and reduces mortality in sepsis: a propensity-matched retrospective cohort study.BMC infectious diseases · 2025Article
- How AI can help us beat AMR.npj antimicrobials and resistance · 2025Review
- The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review.Antibiotics (Basel, Switzerland) · 2025Review
- An Automated Versatile Diagnostic Workflow for Infectious Disease Detection in Low-Resource Settings.Micromachines · 2024Article
- A decade of clinical microbiology: top 10 advances in 10 years: what every infection preventionist and antimicrobial steward should know.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Review
- Revolutionizing healthcare: the role of artificial intelligence in clinical practice.BMC medical education · 2023Review
- Laboratory Automation in Microbiology: Impact on Turnaround Time of Microbiological Samples in COVID Time.Diagnostics (Basel, Switzerland) · 2023Article
- Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology.Frontiers in cellular and infection microbiology · 2023Article
- Integrating research infrastructures into infectious diseases surveillance operations: Focus on biobanks.Biosafety and health · 2022Article
- Clinical Application and Influencing Factor Analysis of Metagenomic Next-Generation Sequencing (mNGS) in ICU Patients With Sepsis.Frontiers in cellular and infection microbiology · 2022Article
- Host-Pathogen Adhesion as the Basis of Innovative Diagnostics for Emerging Pathogens.Diagnostics (Basel, Switzerland) · 2021Review
- Considerations for diagnostic COVID-19 tests.Nature reviews. Microbiology · 2021Review
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.
Funding
Abstract
Clinical microbiology is experiencing revolutionary advances in the deployment of molecular, genome sequencing-based, and mass spectrometry-driven detection, identification, and characterization assays. Laboratory automation and the linkage of information systems for big(ger) data management, including artificial intelligence (AI) approaches, also are being introduced. The initial optimism associated with these developments has now entered a more reality-driven phase of reflection on the significant challenges, complexities, and health care benefits posed by these innovations. With this in mind, the ongoing process of clinical laboratory consolidation, covering large geographical regions, represents an opportunity for the efficient and cost-effective introduction of new laboratory technologies and improvements in translational research and development. This will further define and generate the mandatory infrastructure used in validation and implementation of newer high-throughput diagnostic approaches. Effective, structured access to large numbers of well-documented biobanked biological materials from networked laboratories will release countless opportunities for clinical and scientific infectious disease research and will generate positive health care impacts. We describe why consolidation of clinical microbiology laboratories will generate quality benefits for many, if not most, aspects of the services separate institutions already provided individually. We also define the important role of innovative and large-scale diagnostic platforms. Such platforms lend themselves particularly well to computational (AI)-driven genomics and bioinformatics applications. These and other diagnostic innovations will allow for better infectious disease detection, surveillance, and prevention with novel translational research and optimized (diagnostic) product and service development opportunities as key results.
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.