Evidence map›Paper›PMID 42707189›Full record

ArticleFrontiers in pediatrics2026

Microbiological spectrum and antimicrobial resistance patterns in pediatric acute appendicitis: implications for evidence-based empirical therapy.

Jia Zhang, Huaiwei Zhang, Yan Peng, Yubin Li

Abstract read
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Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

Jia ZhangKey Surgical Laboratory of Educational Administration of Liaoning Province, First Affiliated Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, Liaoning, China.
Huaiwei ZhangClinical Laboratory, The Second Affiliated Hospital of Fuyang Normal University, Fuyang Normal University, Fuyang, Anhui, China.
Yan PengClinical Laboratory, The Second Affiliated Hospital of Fuyang Normal University, Fuyang Normal University, Fuyang, Anhui, China.
Yubin LiKey Surgical Laboratory of Educational Administration of Liaoning Province, First Affiliated Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute appendicitis is one of the most common surgical emergencies in children, and timely empirical antimicrobial therapy is particularly important in complicated cases. However, antibiotic selection is increasingly challenged by regional variability in pathogen distribution and antimicrobial resistance. This study aimed to characterize the microbiological spectrum and antimicrobial susceptibility profiles of purulent specimens from pediatric patients with acute appendicitis and to provide evidence for optimized empirical therapy. Methods: In this prospective observational study, intraoperative purulent specimens were collected from 70 consecutive pediatric patients diagnosed with acute appendicitis between January 2024 and January 2025 at the Second Affiliated Hospital of Fuyang Normal University. All patients received a standardized preoperative antimicrobial regimen (cefuroxime 50 mg/kg plus metronidazole 7.5 mg/kg, administered intravenously within 30-60 min before surgical incision), which was documented for each case. Bacterial identification was performed using the VITEK® 2 Compact system. Antimicrobial susceptibility testing was conducted by broth microdilution in accordance with current Clinical and Laboratory Standards Institute (CLSI) guidelines. Extended-spectrum Results: Pathogens were isolated from 62 of 70 specimens, yielding a culture-positive rate of 88.6%. Gram-negative bacteria predominated (98.3%), whereas only one Gram-positive isolate was identified. Conclusions: Pediatric acute appendicitis in this cohort was dominated by Gram-negative pathogens, particularly ESBL-producing

Indexed as

aerobic cultureantibiotic resistanceantimicrobial stewardshipantimicrobial susceptibilityempirical therapyESBLpediatric acute appendicitis

Identifiers

PMID42707189
PMCPMC13547461

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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.