Evidence map›Paper›PMID 40083537›Full record

ArticleInfection and drug resistance2025

Maternal-Fetal Listeriosis in China: Clinical and Genomic Characteristics From an ST8

Gang Hu, Wei Yan, Fenfen Dong, Gang Li, Xiaoxing Zhang, Qiongshan Li, Peng Zhang, Lei Ji

Abstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Whole-genome sequencing ofJournal of medical microbiology · 2026
    Article
  2. Review
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

8 authors.

Gang Hu *Department of Obstetrics, Huzhou Maternity & Child Health Care Hospital, Zhejiang, People's Republic of China.
Wei Yan *Department of Microbiology Testing, Huzhou Center for Disease Control and Prevention, Zhejiang, People's Republic of China.ORCID 0000-0002-4104-1496
Fenfen DongDepartment of Microbiology Testing, Huzhou Center for Disease Control and Prevention, Zhejiang, People's Republic of China.
Gang LiDepartment of Clinical Laboratory, Huzhou Maternity & Child Health Care Hospital, Zhejiang, People's Republic of China.
Xiaoxing ZhangDepartment of Obstetrics, Huzhou Maternity & Child Health Care Hospital, Zhejiang, People's Republic of China.
Qiongshan LiDepartment of Obstetrics, Huzhou Maternity & Child Health Care Hospital, Zhejiang, People's Republic of China.
Peng ZhangDepartment of Microbiology Testing, Huzhou Center for Disease Control and Prevention, Zhejiang, People's Republic of China.
Lei JiDepartment of Microbiology Testing, Huzhou Center for Disease Control and Prevention, Zhejiang, People's Republic of China.ORCID 0000-0001-6753-6465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Listeriosis, a severe foodborne infection caused by Methods: Clinical presentation, diagnostic process, and treatment outcomes of the case were documented in detail. Whole-genome sequencing (WGS) and subsequent genomic analyses were performed on Results: A 33-week pregnant woman presented with decreased fetal movements and underwent an emergency cesarean delivery. Postpartum, she developed a high fever, and blood cultures from both the mother and the neonate the day after caesarean delivery confirmed Conclusion: This case highlights the importance of timely diagnosis and effective antibiotic management in preventing adverse pregnancy outcomes. It also underscores the need for enhanced food safety surveillance and genomic monitoring of

Indexed as

antimicrobial susceptibilityListeria monocytogenesmaternal–fetal transmissionST8whole-genome sequencing

Identifiers

PMID40083537
PMCPMC11905801

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.