Evidence map›Paper›PMID 36544419›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2022

[Diversity and functional prediction of gut microbiota in children with autism spectrum disorder].

Zhi-Cheng Liu, De Wu, Ai-Na Qu, Lu-Lu Wang

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Zhi-Cheng LiuPediatric Neurological Rehabilitation Center, First Affiliated Hospital of Anhui Medical University, Hefei230022,China.
De WuPediatric Neurological Rehabilitation Center, First Affiliated Hospital of Anhui Medical University, Hefei230022,China.
Ai-Na QuPediatric Neurological Rehabilitation Center, First Affiliated Hospital of Anhui Medical University, Hefei230022,China.
Lu-Lu WangPediatric Neurological Rehabilitation Center, First Affiliated Hospital of Anhui Medical University, Hefei230022,China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the structure and diversity of gut microbiota in children with autism spectrum disorder (ASD), and to predict the metabolic function of gut microbiota.

methodsFecal samples were collected from 30 ASD children (ASD group) and 20 typically developing (TD) children (TD group). Genomic DNA was extracted, the 16S rDNA V4 region was amplified by PCR, and Illumina NovaSeq6000 platform was used for high-throughput sequencing. The composition and distribution characteristics of gut microbiota were analyzed for the two groups, and the metabolic function of gut microbiota was predicted.

resultsThere were no significant differences in alpha diversity indices (Chao1, Shannon, and Simpson) of gut microbiota between the ASD and TD groups (

conclusionsThere is no significant difference in the alpha diversity of gut microbiota between ASD children and TD children, while there are differences in the composition of species at the genus level and the metabolic functions of gut microbiota.

Indexed as

Autism Spectrum DisorderGastrointestinal MicrobiomeBacteriaButyratesChildFecesHumansButyrates16S rDNAAutism spectrum disorderChildGut microbiotaHigh-throughput sequencing

Identifiers

PMID36544419
PMCPMC9785081
OpenAlexW4313278089

What OpenQuestion holds

Textmetadata
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.