Evidence map›Paper›PMID 37046531›Full record

ArticleDiagnostics (Basel, Switzerland)2023

The Diagnostic Value of Cerebrospinal Fluid Lactate for Detection of Sepsis in Community-Acquired Bacterial Meningitis.

Louisa Nitsch, Stefan Felix Ehrentraut, Marcus Grobe-Einsler, Felix J Bode, Mohammed Banat, Matthias Schneider, Felix Lehmann, Julian Zimmermann, Johannes Weller

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Louisa NitschDepartment of Neurology, University Hospital Bonn, 53127 Bonn, Germany.
Stefan Felix EhrentrautDepartment of Anesthesiology, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0001-5747-6737
Marcus Grobe-EinslerDepartment of Neurology, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0002-1808-2134
Felix J BodeDepartment of Neurology, University Hospital Bonn, 53127 Bonn, Germany.
Mohammed BanatDepartment of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0001-7986-5215
Matthias SchneiderDepartment of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0002-6025-7479
Felix LehmannDepartment of Anesthesiology, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0003-2847-9271
Julian ZimmermannDepartment of Neurology, University Hospital Bonn, 53127 Bonn, Germany.
Johannes WellerDepartment of Neurology, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0001-5818-5392
University Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-acquired bacterial meningitis conveys significant morbidity and mortality due to intracranial and systemic complications, and sepsis is a major contributor to the latter. While cerebrospinal fluid (CSF) analysis is essential in the diagnosis of bacterial meningitis, its predictive utility for detection of sepsis is unknown. We investigated the diagnostic performance of CSF parameters for sepsis defined by the Sepsis-3 criteria in a retrospective cohort of patients with community-acquired bacterial meningitis. Among 103 patients, 69.5% developed sepsis. CSF lactate was associated with sepsis with an odds ratio of 1.11 (

Indexed as

bacterial meningitiscerebrospinal fluidlactateoutcomesepsis

Identifiers

PMID37046531
PMCPMC10093535
OpenAlexW4362586821

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.