Evidence map›Paper›PMID 31263683›Full record

ArticleFrontiers in cellular and infection microbiology2019

How Ocular Surface Microbiota Debuts in Type 2 Diabetes Mellitus.

Siqi Li, Guoguo Yi, Hui Peng, Zhenhao Li, Shuze Chen, Huimin Zhong, Yifan Chen, Zhoucheng Wang, Qixin Deng, Min Fu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
11.5field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  12. Characterization of Vitreous Microbiota Dysbiosis Associated with Proliferative Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  13. Article
  14. Altered ocular surface microbiota in obesity: a case-control study.Frontiers in cellular and infection microbiology · 2024
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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

10 authors at 3 institutions in 1 country.

Siqi LiDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Guoguo YiDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Hui PengSchool of Nursing, Hunan University of Medicine, Hunan, China.
Zhenhao LiDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Shuze ChenDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Huimin ZhongDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Yifan ChenDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Zhoucheng WangDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Qixin DengDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Min FuDepartment of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Zhujiang Hospital · CNSouthern Medical University · CNHunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High glucose represents a good environment for bacterial growth on the skin, on the ocular surface (OS) and in the tears of type 2 diabetes mellitus (T2DM) patients, affecting the conjunctival bacterial community. This study aimed to investigate the OS bacterial flora of T2DM patients and healthy subjects using 16S rRNA sequencing-based bacterial identification. Among 23 healthy subjects (CON) and 31 T2DM patients, 54 eyes were examined to investigate the OS bacterial community. Factors potentially affecting the microbial growth were controlled. Results showed the OS microbiota presented higher diversity in the T2DM group than in the CON group. Bioinformatic analysis showed a lower abundance of

Indexed as

MicrobiotaAdultAgedBacteriaBiodiversityConjunctivaDiabetes Mellitus, Type 2DNA, BacterialEyeFemaleHumansMaleMiddle AgedPhylogenyRNA, Ribosomal, 16SSurveys and QuestionnairesDNA, BacterialRNA, Ribosomal, 16Sdiabetes mellitusflorainfectionmicrobiotaocular surface

Identifiers

PMID31263683
PMCPMC6590198
OpenAlexW2950163943

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.