Evidence map›Paper›PMID 39654976›Full record

ArticleFrontiers in cellular and infection microbiology2024

Naoto Nishizaki, Satoshi Oshiro, Mari Tohya, Shin Watanabe, Tadaharu Okazaki, Ken Takahashi, Teruo Kirikae, Toshiaki Shimizu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Genome sequence ofMicrobiology resource announcements · 2026
    Article
  2. Article
  3. Article
  4. Commentary:Frontiers in cellular and infection microbiology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Naoto NishizakiDepartment of Pediatrics, Juntendo University Urayasu Hospital, Urayasu, Chiba, Japan.
Satoshi OshiroAMR Research Laboratory, Juntendo Advanced Research Institute for Health Science, Juntendo University School of Medicine, Tokyo, Japan.
Mari TohyaDivision of Food Safety Information, National Institute of Health Sciences, Kawasaki, Kanagawa, Japan.
Shin WatanabeDepartment of Microbiome Research, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Tadaharu OkazakiDepartment of Pediatric Surgery, Juntendo University Urayasu Hospital, Urayasu, Chiba, Japan.
Ken TakahashiDepartment of Pediatrics, Juntendo University Urayasu Hospital, Urayasu, Chiba, Japan.
Teruo KirikaeAMR Research Laboratory, Juntendo Advanced Research Institute for Health Science, Juntendo University School of Medicine, Tokyo, Japan.
Toshiaki ShimizuDepartment of Pediatrics and Adolescent Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite a unique microbiome in urine, the relationship between nocturnal enuresis and the urobiome remains unclear. This study aimed to compare the presence of specific bacterial species in the urine of children with and without nocturnal enuresis. Methods: We used 16S ribosomal RNA gene sequencing to analyze the urobiome in urine samples obtained from the two groups of children. The presence of Results: Children with MNE exhibited a significantly higher prevalence of Conclusion: These findings suggest that

Indexed as

Nocturnal EnuresisRNA, Ribosomal, 16SActinobacteriaAdolescentAnti-Bacterial AgentsChildDNA, BacterialFemaleHumansMaleReal-Time Polymerase Chain ReactionSequence Analysis, DNAUrinary Tract InfectionsUrineAnti-Bacterial AgentsDNA, BacterialRNA, Ribosomal, 16Snocturnal enuresisP. lymphophilum and monosymptomatic nocturnal enuresis category: original research article childrenPropionimicrobium lymphophilumurinary microbiomeurobiome

Identifiers

PMID39654976
PMCPMC11626389

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.