Evidence map›Paper›PMID 38707710›Full record

ReviewBrain communications2024

Adjunctive treatments for pneumococcal meningitis: a systematic review of experimental animal models.

Rutger Koning, Marian A van Roon, Matthijs C Brouwer, Diederik van de Beek

Abstract readReview
In one paragraph

Review in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Rutger KoningDepartment of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, 1100DD Amsterdam, The Netherlands.
Marian A van RoonDepartment of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, 1100DD Amsterdam, The Netherlands.
Matthijs C BrouwerDepartment of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, 1100DD Amsterdam, The Netherlands.
Diederik van de BeekDepartment of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, 1100DD Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4571-044X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New treatments are needed to improve the prognosis of pneumococcal meningitis. We performed a systematic review on adjunctive treatments in animal models of pneumococcal meningitis in order to identify treatments with the most potential to progress to clinical trials. Studies testing therapy adjunctive to antibiotics in animal models of pneumococcal meningitis were included. A literature search was performed using Medline, Embase and Scopus for studies published from 1990 up to 17 February 2023. Two investigators screened studies for inclusion and independently extracted data. Treatment effect was assessed on the clinical parameters disease severity, hearing loss and cognitive impairment and the biological parameters inflammation, brain injury and bacterial load. Adjunctive treatments were evaluated by their effect on these outcomes and the quality, number and size of studies that investigated the treatments. Risk of bias was assessed with the SYRCLE risk of bias tool. A total of 58 of 2462 identified studies were included, which used 2703 experimental animals. Disease modelling was performed in rats (29 studies), rabbits (13 studies), mice (12 studies), gerbils (3 studies) or both rats and mice (1 study). Meningitis was induced by injection of

Indexed as

adjunctive treatmentanimal modelspneumococcal meningitissystematic review

Identifiers

PMID38707710
PMCPMC11069119

What OpenQuestion holds

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Registered trials

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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.