Evidence map›Paper›PMID 36475922›Full record

ArticleMicrobiology spectrum2023

Exploring the Relevance between Gut Microbiota-Metabolites Profile and Chronic Kidney Disease with Distinct Pathogenic Factor.

Tso-Hsiao Chen, Chung-Yi Cheng, Chun-Kai Huang, Yi-Hsien Ho, Jung-Chun Lin

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Microbiota and kidney disease: the road ahead.Nature reviews. Nephrology · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Gut microbiota microbial metabolites in diabetic nephropathy patients: far to go.Frontiers in cellular and infection microbiology · 2024
    Review
  9. Article
  10. Review
  11. Review
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

5 authors at 1 institution in 1 country.

Tso-Hsiao ChenDivision of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Chung-Yi ChengDivision of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Chun-Kai HuangDepartment of Laboratory Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Yi-Hsien HoDepartment of Laboratory Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Jung-Chun LinSchool of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0003-3781-1504
Wan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intimate correlation of chronic kidney disease (CKD) with structural alteration in gut microbiota or metabolite profile has been documented in a growing body of studies. Nevertheless, a paucity of demonstrated knowledge regarding the impact and underlying mechanism of gut microbiota or metabolite on occurrence or progression of CKD is unclarified thus far. In this study, a liquid chromatography coupled-mass spectrometry and long-read sequencing were applied to identify gut metabolites and microbiome with statistically-discriminative abundance in diabetic CKD patients (

Indexed as

Diabetes MellitusGastrointestinal MicrobiomeRenal Insufficiency, ChronicDysbiosisHumansHypertension, RenalNephritisVirulence FactorsVirulence Factorschronic kidney diseasediabetes mellitusfecal metabolitegut microbiotahypertension

Identifiers

PMID36475922
PMCPMC9927243
OpenAlexW4310953639

What Socratic 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 Socratic graph.