Evidence map›Paper›PMID 32435235›Full record

ArticleFrontiers in microbiology2020

Distinct Gut Microbiota and Metabolite Profiles Induced by Different Feeding Methods in Healthy Chinese Infants.

Na Li, Fenfen Yan, Nana Wang, Yue Song, Yingxue Yue, Jiaqi Guan, Bailiang Li, Guicheng Huo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% of its field
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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. A Systematic Review to Reassess the Formula for Early Life Growth.Advances in nutrition (Bethesda, Md.) · 2026
    Pooled it
  2. Nutrients · 2026
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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 at 1 institution in 1 country.

Na LiKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Fenfen YanKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Nana WangKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Yue SongKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Yingxue YueKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Jiaqi GuanKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Bailiang LiKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Guicheng HuoKey Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin, China.
Northeast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human milk is closely correlated with infant gut microbiota and is important for infant development. However, most infants receive exclusively insufficient breast milk, and the discordance between effects of commercial formula and human milk exists. To elucidate the differences induced by various feeding methods, we determined microbiota and metabolites composition in fecal samples from 77 healthy infants in Northeast China and identified the differences in various feeding methods. Bacterial 16S rRNA gene sequence analysis demonstrated that the fecal samples of exclusively breastfed (BF) infants were abundant in

Indexed as

complementary foodformula milkhuman milkinfantmetabolitemicrobiota

Identifiers

PMID32435235
PMCPMC7219020
OpenAlexW3021644623

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.