Evidence map›Paper›PMID 23371378›Full record

ReviewDer Nervenarzt2013

[Current cerebrospinal fluid diagnostics for pathogen-related diseases].

S D Süssmuth, J Brettschneider, A Spreer, M Wick, S Jesse, J Lewerenz, M Otto, H Tumani

Open access · bronzeAbstract readEnglish AbstractReview
In one paragraph

Review in Der Nervenarzt, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. ChronicClinical case reports · 2022
    Article
  2. Article
  3. Simultaneous Detection of Five Pathogens from Cerebrospinal Fluid Specimens Using Luminex Technology.International journal of environmental research and public health · 2016
    Article
  4. [Lyme borreliosis].Der Internist · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

S D SüssmuthAbteilung für Neurologie, Universitätsklinikum Ulm, Uniklinik im RKU, Oberer Eselsberg 45, 890875, Ulm, Deutschland.
J Brettschneider
A Spreer
M Wick
S Jesse
J Lewerenz
M Otto
H Tumani
University Hospital Ulm · DELudwig-Maximilians-Universität München · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrospinal fluid (CSF) analysis is of utmost importance to establish an early diagnosis of central nervous system (CNS) infections and to start appropriate therapy. The CSF white cell count, lactate concentration and total protein levels are usually available very quickly even from non-specialized laboratories and the combination of these parameters often provides sufficient information for decision-making in emergency cases. It is, however, not always possible to identify the underlying infective agent despite further CSF analyses, such as bacterial and fungal staining, evaluation of the blood-CSF barrier function, intrathecal immunoglobulin synthesis and oligoclonal IgG bands. Therefore, close communication between the laboratory and the clinician is an important prerequisite to specify additional pathogen-related diagnostic measures for successful confirmation of the diagnosis.

Indexed as

AntibodiesCentral Nervous System InfectionsCentral Nervous System NeoplasmsCerebrospinal FluidCerebrospinal Fluid ProteinsCooperative BehaviorDiagnosis, DifferentialEncephalitisHumansImmunoglobulinsInterdisciplinary CommunicationLactic AcidLeukocyte CountLyme NeuroborreliosisMeningitisPolymerase Chain ReactionAntibodiesCerebrospinal Fluid ProteinsImmunoglobulinsLactic Acid

Identifiers

PMID23371378
PMCPMC7095826
OpenAlexW27619572

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.