Evidence map›Paper›PMID 41268457›Full record

ArticleAfrican journal of infectious diseases2025

VACCINES OVER ANTIBIOTICS: SAUDI ARABIA'S JOURNEY OF MANAGING PEDIATRIC BACTERIAL MENINGITIS.

Alnasser Yossef, Bin Obaid M Nada, Bamarei M Noura, Alshehri S Aseel, Jakhete A Akhilesh, Binkhamis Khalifa

Abstract read
In one paragraph

Article in African journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Alnasser YossefPediatric Department, Bronxcare Health System, New York, NY, United States.
Bin Obaid M NadaCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Bamarei M NouraCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Alshehri S AseelCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Jakhete A AkhileshGeroge Washington Milken School of Public Health, Washington, DC, United States.
Binkhamis KhalifaMicrobiology Unit, Department of Pathology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Saudi Arabia had high rates of bacterial meningitis in the late 90s. Children are at highest risk of this devastating disease with poor outcomes. Objective: The study aims to evaluate the prevalence, causative pathogens, and antibiotic resistance patterns in pediatric bacterial meningitis cases at a tertiary hospital in Riyadh, Saudi Arabia. Materials and Methods: Single-center retrospective chart review and cross-sectional methodology was conducted at King Saud University Medical City (KSUMC) from 2015 to 2023. Result: Reviewing 8 years of CSF culture results only yielded 37 cases. This is only 0.5% of total hospital admissions over 8 years. The majority of cases were for children under the age of 2 years (82%). Gender of cases was almost equal and there was no seasonal variation. The most common organisms were gram-positive (14, 38%) including Group B streptococcus (GBS) (4, 11%), Conclusion: Saudi Arabia provides an example of the success of a mass vaccination program to curb the burden of pediatric bacterial meningitis. Future efforts should focus on antibiotic stewardship, mass screening of GBS, and adopting additional strains for the pneumococcus vaccine. Further research is needed to address the rising number of gram-negative organisms causing pediatric bacterial meningitis in Saudi Arabia and globally.

Indexed as

AntibioticsBacterial MeningitisDrug ResistanceSaudi ArabiaVaccines

Identifiers

PMID41268457
PMCPMC12627222

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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.