Evidence map›Paper›PMID 39062221›Full record

ArticleChildren (Basel, Switzerland)2024

The Association of Neonatal Gut Microbiota Community State Types with Birth Weight.

Wanling Chen, Kaiping Guo, Xunbin Huang, Xueli Zhang, Xiaoxia Li, Zimiao Chen, Yanli Wang, Zhangxing Wang, Rongtian Liu, Huixian Qiu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Children (Basel, Switzerland), 2024. 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

12 authors.

Wanling ChenShenzhen Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen 518116, China.
Kaiping GuoDivision of Pediatrics, Longgang District Central Hospital of Shenzhen, Shenzhen 518116, China.
Xunbin HuangDivision of Neonatology, Longgang District Central Hospital of Shenzhen, Shenzhen 518116, China.
Xueli ZhangDivision of Neonatology, Shenzhen Longhua People's Hospital, Shenzhen 518109, China.
Xiaoxia LiDivision of Neonatology, Shenzhen Longhua People's Hospital, Shenzhen 518109, China.
Zimiao ChenDepartment of Burn Plastic Surgery, South China Hospital, Shenzhen University, Shenzhen 518111, China.
Yanli WangDepartment of Pediatrics, South China Hospital, Shenzhen University, Shenzhen 518111, China.
Zhangxing WangDivision of Neonatology, Shenzhen Longhua People's Hospital, Shenzhen 518109, China.
Rongtian LiuDepartment of Pediatrics, Shenzhen Second People's Hospital, Shenzhen 518035, China.
Huixian QiuDivision of Neonatology, Longgang District Central Hospital of Shenzhen, Shenzhen 518116, China.
Mingbang WangMicrobiome Therapy Center, South China Hospital, Medical School, Shenzhen University, Shenzhen 518111, China.ORCID 0000-0002-5989-5377
Shujuan ZengDivision of Neonatology, Longgang District Central Hospital of Shenzhen, Shenzhen 518116, China.ORCID 0000-0003-1095-0184

Funding

National Natural Science Foundation of China No. 82071733Shenzhen Science Technology and Innovation Commission No. JCYJ20220530154601004
6 · The paper itself

Abstract

backgroundwhile most gut microbiota research has focused on term infants, the health outcomes of preterm infants are equally important. Very-low-birth-weight (VLBW) or extremely-low-birth-weight (ELBW) preterm infants have a unique gut microbiota structure, and probiotics have been reported to somewhat accelerate the maturation of the gut microbiota and reduce intestinal inflammation in very-low preterm infants, thereby improving their long-term outcomes. The aim of this study was to investigate the structure of gut microbiota in ELBW neonates to facilitate the early identification of different types of low-birth-weight (LBW) preterm infants.

methodsa total of 98 fecal samples from 39 low-birth-weight preterm infants were included in this study. Three groups were categorized according to different birth weights: ELBW (

resultswe briefly analyzed the structure of the gut microbiota of preterm infants with low birth weight and found that the ELBW, VLBW, and LBW groups exhibited gut microbiota with heterogeneous compositions. Low-birth-weight preterm infants showed five CSTs dominated by

conclusionsthe gut bacteria of preterm infants showed a CST with

Indexed as

16S rRNA gene sequencingcommunity state typegut microbiotainfantlow birth weightmachine learningneonate

Identifiers

PMID39062221
PMCPMC11276374

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