ReviewCurrent neurology and neuroscience reports2017
Neuroimaging in Central Nervous System Infections.
Review in Current neurology and neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 33 citations in OpenAlex.
- Cranial ultrasound as a diagnostic tool for infant meningitis in a low-or middle income setting: "sensitivity and specificity".Journal of ultrasound · 2026Article
- Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- What every neuropathologist needs to know: Update on neuro infectious disease workups and consultation resources.Journal of neuropathology and experimental neurology · 2025Review
- Commonly encountered central nervous system infections in the intensive care unit.BJA education · 2023Review
- Effect of Spontaneous Subarachnoid Hemorrhage on Cerebrospinal Fluid Indicators.Brain sciences · 2023Article
- Magnetic resonance imaging patterns of paediatric brain infections: a pictorial review based on the Western Australian experience.Insights into imaging · 2022Review
- Accurate image-based CSF volume calculation of the lateral ventricles.Scientific reports · 2022Article
- The Neurotropic Black YeastCells · 2020Article
- CNS Infections in Immunoincompetent Patients : Neuroradiological and Clinical Features.Clinical neuroradiology · 2020Review
- Amide Proton Transfer-Weighted (APTw) Imaging of Intracranial Infection in Children: Initial Experience and Comparison with Gadolinium-Enhanced T1-Weighted Imaging.BioMed research international · 2020Article
- Diagnostic yield of head CT in pediatric emergency department patients with acute psychosis or hallucinations.Pediatric radiology · 2019Article
- Spectrum of neurovascular complications from central nervous system infections (viral, bacterial and fungal).BJR open · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiologic imaging is often employed to supplement clinical evaluation in cases of suspected central nervous system (CNS) infection. While computed tomography (CT) is superior for evaluating osseous integrity, demineralization, and erosive changes and may be more readily available at many institutions, magnetic resonance imaging (MRI) has significantly greater sensitivity for evaluating the cerebral parenchyma, cord, and marrow for early changes that have not yet reached the threshold for CT detection. For these reasons, MRI is generally superior to CT for characterizing bacterial, viral, fungal, and parasitic infections of the CNS. The typical imaging features of common and uncommon CNS infectious processes are reviewed.
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.