ReviewCurrent neurology and neuroscience reports2001
Clinical applications of new cerebrospinal fluid analytic techniques for the diagnosis and treatment of central nervous system infections.
Review in Current neurology and neuroscience reports, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
1 author at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Advances in molecular biology and immunology provide new, highly sensitive and specific techniques that can be applied to analysis of cerebrospinal fluid to enhance the diagnosis and treatment of central nervous system (CNS) infections. In addition to improved accuracy and speed of diagnosis, these modalities may offer improved means of monitoring treatment efficacy, establishing prognosis, detecting organism resistance, and tracking epidemic sources. This brief review discusses a number of recent papers applying these methods, in order to illustrate their value and significance for clinical neurologic practice. Some of these applications are commonly available, whereas others are likely to enter the physician's armamentarium in the near future. As they do, they can be expected to improve the treatment of CNS infections.
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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.