Evidence map›Paper›PMID 29743837›Full record

ArticleIntestinal research2018

Characterization of the fecal microbiota differs between age groups in Koreans.

Sun-Young Kook, Yunjeong Kim, Ben Kang, Yon Ho Choe, Young-Ho Kim, Seokjin Kim

Open access · diamondAbstract read
In one paragraph

Article in Intestinal research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Optimizing Pediatric Drug Therapy: Pediatric Pharmacokinetics and Administration Routes.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 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

6 authors at 1 institution in 1 country.

Sun-Young KookProbioticslab R&D Institute, Bioeleven Co., Seoul, Korea.
Yunjeong KimProbioticslab R&D Institute, Bioeleven Co., Seoul, Korea.
Ben KangDepartment of Pediatric, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yon Ho ChoeDepartment of Pediatric, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Young-Ho KimDepartment of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seokjin KimProbioticslab R&D Institute, Bioeleven Co., Seoul, Korea.
Samsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsTens of trillions of microorganisms constitute the gut microbiota of the human body. The microbiota plays a critical role in maintaining host immunity and metabolism. Analyses of the gut microbial composition in Korea are limited to a few studies consisting of small sample sizes. To investigate the gut microbial community in a large sample of healthy Koreans, we analyzed the 16S ribosomal RNA of 4 representative bacterial genera

methodsA total of 378 DNA samples extracted from 164 infants and 214 adults were analyzed using quantitative real-time polymerase chain reaction.

resultsAnalysis of 16S ribosomal RNA of 4 representative bacterial genera

conclusionsTo the best of our knowledge, this was the first study evaluating the distinct characteristics of the microbial community of Korean infants and adults. The differences between the 2 populations suggest that external factors such as age, diet, and the environment are important contributing factors to the change in gut microbial composition during development.

Indexed as

BacteroidesBifidobacteriumQuantitative real-time polymerase chain reactionRNA, ribosomal, 16S

Identifiers

PMID29743837
PMCPMC5934597
OpenAlexW2801352610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.