Evidence map›Paper›PMID 42528821›Full record

ArticleFrontiers in microbiology2026

Epidemiology, pathogen spectrum, and antimicrobial resistance of infections in burn patients stratified by total body surface area: a bicenter study with evaluation of targeted next-generation sequencing.

Zihao Ouyang, Yamin Lu, Lei Chen, Yanrong Lai, Pingsen Zhao

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. 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

5 authors.

Zihao OuyangDepartment of Laboratory Medicine, Yuebei People's Hospital Affiliated to Shantou University Medical College, Shaoguan, China.
Yamin LuDepartment of Laboratory Medicine, Yuebei People's Hospital Affiliated to Shantou University Medical College, Shaoguan, China.
Lei ChenDepartment of Laboratory Medicine, Yuebei People's Hospital Affiliated to Shantou University Medical College, Shaoguan, China.
Yanrong LaiDepartment of Clinical Laboratory, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, China.
Pingsen ZhaoDepartment of Laboratory Medicine, Yuebei People's Hospital Affiliated to Shantou University Medical College, Shaoguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infection remains a leading cause of morbidity and mortality in burn patients, particularly in those with extensive injuries. However, comprehensive analyses integrating pathogen distribution, antimicrobial resistance, and advanced molecular diagnostics across burn severity remain limited. Methods: We retrospectively analyzed 814 burn patients with infections admitted to two tertiary burn centers in southern China between 2020 and 2024, stratified by total body surface area (TBSA). Pathogen distribution, antimicrobial resistance patterns, complications, hospitalization costs, and length of stay were evaluated. In addition, 40 clinical specimens were prospectively analyzed using both conventional culture and targeted next-generation sequencing (t-NGS). Results: Among 814 infected burn patients stratified by TBSA (<10%, Conclusion: Burn severity is strongly associated with pathogen spectrum and antimicrobial resistance, underscoring the need for severity-stratified management strategies in burn care. In this pilot comparison, t-NGS showed a higher positivity rate than conventional culture and may serve as an adjunct diagnostic method. However, its clinical interpretation must be integrated with phenotypic data given the potential for colonization or genotypic-phenotypic discordance.

Indexed as

antimicrobial resistanceburn infectionpathogen spectrumtargeted next-generation sequencingtotal body surface area

Identifiers

PMID42528821
PMCPMC13415348

What Socratic 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 Socratic graph.