Evidence map›Paper›PMID 42057794›Full record

ArticleFrontiers in microbiology2026

Ziyi Liu, Ying Cao, Yanan Yang, Jiale Cheng, Jiacheng Zhang, Tianjiao Cong, Qinghang Zhang, Lei Cui, Feng Cai, Yunfeng Duan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Ziyi Liu *School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Ying Cao *School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yanan YangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiale ChengSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiacheng ZhangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjiao CongSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qinghang ZhangSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lei CuiPKUMed-Wisbiom Joint Laboratory for Human Microbiome Research, Beijing, China.
Feng CaiPKUMed-Wisbiom Joint Laboratory for Human Microbiome Research, Beijing, China.
Yunfeng DuanPKUMed-Wisbiom Joint Laboratory for Human Microbiome Research, Beijing, China.
Chongming WuSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Short stature in children causes physical and psychological issues. Human growth hormone (hGH) is clinically recommended but has side effects. Probiotics and functional foods are promising alternatives. Methods: Results: W16 enhanced rat body/bone length similarly to hGH, upregulated igf-1/trap, and increased plasma/liver IGF-1-more effectively than unfermented Discussion: Postbiotic W16 promotes bone growth via regulating growth-related genes, IGF-1 signaling, and gut microbiota. Safer than hGH (no insulin resistance), W16 is a promising functional food candidate for improving short stature in children.

Indexed as

Astragali RadixBifidobacterium animalis subsp. lactis BL-16bone growthIGF-1postbiotic W16

Identifiers

PMID42057794
PMCPMC13121134

What OpenQuestion holds

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LicenceCC BY
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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.