Evidence map›Paper›PMID 42283067›Full record

ArticleIDCases2026

Identification of a potential novel

Fengxiang Wei, Xin Wang, Hui Lv, Huihua Xia, Guangli Gan, Xiaohang Chen, Xiaochun Liu, Huan Chen, Luyang Zhao

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

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

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

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

9 authors.

Fengxiang WeiLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, Guangdong, China.
Xin WangDepartment of Blood Transfusion, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China.
Hui LvLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, Guangdong, China.
Huihua XiaShenzhen Salus Biomed Co., Ltd., Shenzhen, Guangdong, China.
Guangli GanShenzhen Salus Biomed Co., Ltd., Shenzhen, Guangdong, China.
Xiaohang ChenLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, Guangdong, China.
Xiaochun LiuLonggang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, Guangdong, China.
Huan ChenHangzhou Digital-Micro Biotech Co., Ltd., Hangzhou, Zhejiang, China.
Luyang ZhaoShenzhen Salus Biomed Co., Ltd., Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coagulase-negative Case presentation: A preterm neonate at 29 Conclusion: For neonates with sudden clinical deterioration, intractable infection or ambiguous conventional microbial results, mNGS and WGS facilitate accurate pathogen identification and treatment adjustment. This potential novel strain discovery highlights the importance of enhanced vigilance against bacterial multidrug resistance and the emergence of potential novel pathogens in neonatal care.

Indexed as

Case reportCoagulase-negative StaphylococciMetagenomic next-generation sequencingMicrobial identificationNeonatal infectionPotential novel bacterial speciesStaphylococcus warneriWhole-genome sequencing

Identifiers

PMID42283067
PMCPMC13251187

What OpenQuestion holds

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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 OpenQuestion graph.