Evidence map›Paper›PMID 42353960›Full record

ReviewChildren (Basel, Switzerland)2026

The Human Milk Microbiome in Mothers of Very-Low-Birth-Weight Infants: A Systematic Review of Recent Clinical Studies.

Vilma Ivanauskienė, Aušrelė Kudrevičienė, Vaida Aleksejūnė, Renata Dzikienė, Ilona Aldakauskienė, Rasa Tamelienė

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Children (Basel, Switzerland), 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

6 authors.

Vilma IvanauskienėDepartment of Neonatology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
Aušrelė KudrevičienėDepartment of Neonatology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
Vaida AleksejūnėDepartment of Neonatology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
Renata DzikienėDepartment of Neonatology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
Ilona AldakauskienėDepartment of Neonatology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
Rasa TamelienėDepartment of Neonatology, Faculty of Medicine, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth remains a major global health concern, affecting approximately one in ten neonates, with an estimated 15 million infants born prematurely each year. Prematurity and clinical factors such as antibiotics, cesarean delivery, and limited access to mother's own milk disrupt microbiota development in VLBW infants; although human milk supplies nutrients and a microbial community, its composition and clinical role are not yet well understood. However, the composition and clinical significance of the human milk microbiota (HMM) in VLBW infants remain insufficiently characterized.

backgroundThis review aims to summarize recent evidence (2021-2025) on the microbiome of MOM in mothers of VLBW (<1500 g) preterm infants and to evaluate its potential role in neonatal health.

methodsThe study used a systematic literature review, searching PubMed and Google Scholar with predefined criteria and keywords. RESULTS AND

conclusionsMOM microbiota of VLBW in infants is dominated by

Indexed as

breast milkhuman milkmicrobiomemicrobiotapreterm newbornsequencing techniques

Identifiers

PMID42353960
PMCPMC13297312

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LicenceCC BY
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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.