Evidence map›Paper›PMID 41889383›Full record

ArticleThe Lancet regional health. Western Pacific2026

Antimicrobial resistance and treatment mismatch in culture-proven sepsis among very preterm infants in Chinese NICUs: a cohort study.

Weiyin Yu, Shujuan Li, Junyan Han, Chen Zhang, Falin Xu, Kee Thai Yeo, Henry C Lee, Shoo K Lee, Yun Cao, Wenli Li and 2 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Plasma transfusion in neonatal sepsis.World journal of pediatrics : WJP · 2026
    Article
  2. Article
  3. Observational
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

12 authors.

Weiyin YuDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Shujuan LiDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Junyan HanDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Chen ZhangDepartment of Neonatology, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Front Street, Erqi District, Zhengzhou, Henan, 450052, China.
Falin XuDepartment of Neonatology, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Front Street, Erqi District, Zhengzhou, Henan, 450052, China.
Kee Thai YeoDepartment of Neonatology, KK Women's & Children's Hospital, 100 Bukit Timah Road, Singapore City, 229899, Singapore.
Henry C LeeDivision of Neonatology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Shoo K LeeMaternal-Infant Care Research Center and Department of Pediatrics, Mount Sinai Hospital, 600 University Avenue, Toronto, Ontario, M5G 1X5, Canada.
Yun CaoDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Wenli LiDepartment of Neonatology, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Front Street, Erqi District, Zhengzhou, Henan, 450052, China.
Siyuan JiangDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Minhang District, Shanghai, 201102, China.
Chinese Neonatal Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The real-world effectiveness of guideline-recommended antibiotics for neonatal sepsis remains uncertain in settings with high antimicrobial resistance. Evidence derived from large-scale, contemporary data that integrates pathogens, resistance, and treatment is needed. This study aims to assess the epidemiology, antimicrobial resistance, and antibiotic treatment practices for sepsis among very preterm infants (VPIs) in China. Methods: We analysed prospectively collected data from all VPIs admitted to 88 tertiary neonatal intensive care units (NICUs) in the Chinese Neonatal Network between 2019 and 2022. Findings: Among 38,560 VPIs, 1.1% (95% CI 1.0-1.2) developed early-onset sepsis (EOS; case-fatality 24.0%, 95% CI 19.8-28.8), and 5.8% (95% CI 5.6-6.1) developed late-onset sepsis (LOS; case-fatality 12.2%, 95% CI 10.9-13.7). Gram-negative bacteria predominated in both EOS (59.0%) and LOS (48.3%), with resistance to cefotaxime and ceftazidime reaching 69.8% and 28.6% in EOS, and even higher rates in LOS. An ampicillin plus ceftazidime regimen would fail to cover 13.3% of EOS cases, while gentamicin-based regimens showed comparable coverage. Nearly all Gram-positive EOS pathogens were susceptible to penicillin/ampicillin, yet 16.6% of definitive therapy involved vancomycin or linezolid. Broad-spectrum antibiotics were frequently continued after pathogen identification in both EOS and LOS, with insufficient de-escalation. Interpretation: Sepsis remains a major burden among VPIs in China, with Gram-negative bacteria exhibiting alarming resistance and mismatches between guideline-recommended regimens and real-world effectiveness. These findings highlight the need to integrate susceptibility and prescribing data to inform national guideline updates and targeted antimicrobial stewardship strategies. Funding: This work was funded by China Medical Board (grant #20-370).

Indexed as

Antibiotic stewardshipAntimicrobial resistancePreterm infantsSepsisVery preterm infants

Identifiers

PMID41889383
PMCPMC13015743

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.