ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025
Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.
Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Artificial Intelligence-Assisted Pathogen Detection: Algorithms, Biosensing Platforms, and Applications.Biosensors · 2026Review
- Metagenomic Next-Generation Sequencing for Brain Abscess: Improved Pathogen Detection, Targeted Antimicrobial Therapy, and Association with Fewer Surgical Interventions.Infection and drug resistance · 2026Article
- Cerebrospinal fluid cellular and inflammatory profiles in tumor-related postoperative infections: influencing factors and clinical features in oncological patients.American journal of cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Postoperative central nervous system infections (PCNSIs), including meningitis, cerebral abscesses, and implant-associated infections, represent critical complications following neurosurgical procedures. These infections pose significant risks to patient outcomes due to delayed diagnosis, escalating antimicrobial resistance, and limited therapeutic efficacy. Conventional diagnostic approaches, such as cerebrospinal fluid (CSF) analysis, microbial cultures, and neuroimaging, exhibit notable limitations in sensitivity, specificity, and rapidity. This review highlights transformative technologies reshaping PCNSI diagnostics, including molecular assays (e.g., quantitative PCR, digital droplet PCR), metagenomic next-generation sequencing (mNGS), CRISPR-based pathogen detection platforms, metabolomics, and advanced molecular imaging modalities. Furthermore, we address translational challenges in clinical adoption, including cost barriers, standardization gaps, and the need for interdisciplinary collaboration. Emerging artificial intelligence (AI)-driven strategies are proposed to optimize pathogen identification, predict antimicrobial resistance profiles, and tailor personalized therapeutic regimens.
Indexed as
Identifiers
What Socratic 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 Socratic graph.