SynthesisFrontiers in cellular and infection microbiology2022
The Effectiveness of Metagenomic Next-Generation Sequencing in the Diagnosis of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis.
Synthesis in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 7 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.
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Who cites it
37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Comparative diagnostic performance of metagenomic next-generation sequencing and conventional microbial culture in spinal infections: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2026Pooled it
- Metagenomic next-generation sequencing (mNGS) versus tissue culture technique (TCT) in diagnosis of spinal infection: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Exploring the clinical and diagnostic value of metagenomic next-generation sequencing for urinary tract infection: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- An umbrella review of the diagnostic value of next-generation sequencing in infectious diseases.International journal of clinical pharmacy · 2024Pooled it
- Diagnostic performance of metagenomic next-generation sequencing for the detection of pathogens in cerebrospinal fluid in pediatric patients with central nervous system infection: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Comparison of microbial detection rates in microbial culture methods versus next-generation sequencing in patients with prosthetic joint infection: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2023Pooled it
- A systematic review and meta-analysis of the diagnostic accuracy of metagenomic next-generation sequencing for diagnosing tuberculous meningitis.Frontiers in immunology · 2023Pooled it
- Metagenomic Analysis of Thoracic Empyema Etiology Through Next-Generation Sequencing Enhances Conventional Culture Techniques.Infection & chemotherapy · 2026Article
- Diagnostic Value of Metagenomic Next-Generation Sequencing for Suspected Native Spinal Brucella Infection: A Multicenter Study.Neurospine · 2026Article
- Detection of Pathogens by a Novel User-Developed Broad-Range BR 16S PCR rRNA Polymerase Chain Reaction/Gene Sequencing Assay: Multiyear Experience in a Large Canadian Healthcare Zone.Microorganisms · 2026Article
- Disseminated Culture-Negative Periprosthetic Knee Infection With Multifocal Septic Arthritis Associated WithCase reports in orthopedics · 2026Article
- Culture-negative periprosthetic joint infection: an umbrella review of prevalence, diagnostic strategies, treatment, and methodological limitations.Journal of bone and joint infection · 2026Review
- Fastidious or rarely isolated gram-negative rods with a particular focus onClinical microbiology reviews · 2025Review
- Review
- Molecular diagnostics for perioperative microbial identification in periprosthetic joint infection: A scoping review and proposal of a diagnostic flow chart.Journal of experimental orthopaedics · 2025Review
- Periprosthetic Joint Infection (PJI).The archives of bone and joint surgery · 2025Review
- The impact of diabetes mellitus on biomarkers for the diagnosis of periprosthetic joint infection.Frontiers in cellular and infection microbiology · 2025Article
- Impact of Antibiotic Exposure Duration on Pathogen Detection in Periprosthetic Joint Infection.Infection and drug resistance · 2025Article
- The application value and challenges of metagenomic next-generation sequencing in the diagnosis of periprosthetic joint infection after arthroplasty.Frontiers in medicine · 2025Review
- The role of ratio markers based on prealbumin in the diagnosis of periprosthetic joint infection.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic method is particularly important for PJI. Recently, the diagnostic value of metagenomic next-generation sequencing (mNGS) in detecting PJI has attracted much attention, while the evidence of its accuracy is quite limited. Thus, this study aimed to evaluate the accuracy of mNGS for the diagnosis of PJI. Methods: We summarized published studies to identify the potential diagnostic value of mNGS for PJI patients by searching online databases using keywords such as "prosthetic joint infection", "PJI", and "metagenomic sequencing". Ten of 380 studies with 955 patients in total were included. The included studies provided sufficient data for the completion of 2-by-2 tables. We calculated the sensitivity, specificity, and area under the SROC curve (AUC) to evaluate mNGS for PJI diagnosis. Results: We found that the pooled diagnostic sensitivity and specificity of mNGS for PJI were 0.93 (95% CI, 0.83 to 0.97) and 0.95 (95% CI, 0.92 to 0.97), respectively. Positive and negative likelihood ratios were 18.3 (95% CI, 10.9 to 30.6) and 0.07 (95% CI, 0.03 to 0.18), respectively. The area under the curve was 0.96 (95% CI, 0.93 to 0.97). Conclusion: Metagenomic next-generation sequencing displays high accuracy in the diagnosis of PJI, especially for culture-negative cases.
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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.