Evidence mapPaperPMID 41255658Full record

ReviewWorld journal of clinical pediatrics2025

Neonatal and pediatric sepsis: Microbiological insights, diagnostic innovations, and antimicrobial challenges.

Basavraj S Nagoba, Shree V Dhotre, Mahesh N Sonar, Sachin S Mumbre, Ajay M Gavkare, Pradnya S Dhotre

Abstract readReview
In one paragraph

Review in World journal of clinical pediatrics, 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.

Basavraj S NagobaDepartment of Microbiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India. dr_bsnagoba@yahoo.com.
Shree V DhotreDepartment of Microbiology, Ashwini Rural Medical College, Solapur 413006, Maharashtra, India.
Mahesh N SonarDepartment of Pediatrics, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India.
Sachin S MumbreDepartment of Community Medicine, Ashwini Rural Medical College, Solapur 413006, India.
Ajay M GavkareDepartment of Physiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Latur 413531, Maharashtra, India.
Pradnya S DhotreDepartment of Biochemistry, Ashwini Rural Medical College, Solapur 413006, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal and pediatric sepsis remains a major global health concern, contributing significantly to morbidity and mortality among children under 5 years of age. The clinical and microbiological characteristics of sepsis differ markedly in neonates and children, necessitating tailored diagnostic and treatment approaches. This mini-review explores the evolving microbiological landscape, recent advancements in diagnostic methodologies, and challenges posed by antimicrobial resistance (AMR) in managing neonatal and pediatric sepsis. Emerging pathogens, including multidrug-resistant Gram-negative bacilli and fungal organisms, are reshaping the epidemiology of sepsis. Innovations in molecular diagnostics, including polymerase chain reaction-based platforms, next-generation sequencing, and artificial intelligence-integrated tools, are revolutionizing early pathogen detection and resistance profiling. However, implementation gaps persist, particularly in low- and middle-income countries. Therapeutic challenges are compounded by limited pediatric data on newer antimicrobials and rising AMR rates. Infection prevention strategies, especially in intensive care units, are crucial to outbreak containment. An integrated approach combining microbiological surveillance, rapid diagnostics, and antimicrobial stewardship is critical for improving sepsis outcomes. Future research should focus on context-specific implementation of diagnostic tools and optimizing treatment strategies for resource-limited settings.

Indexed as

AI in diagnosticsAntimicrobial stewardshipMicrobiomeNeonatal infectionsNeonatal intensive care unitSepsis biomarkers

Identifiers

PMID41255658
PMCPMC12620802

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.