Evidence map›Paper›PMID 34566901›Full record

ArticleFrontiers in microbiology2021

Alterations of the Gut Microbiome and Metabolome in Patients With Proliferative Diabetic Retinopathy.

Panpan Ye, Xueyou Zhang, Yufeng Xu, Jia Xu, Xiaoxiao Song, Ke Yao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
  7. Artificial intelligence in diabetic retinopathy: from automated screening to risk-stratified care.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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  17. Role of gut microbiomes in different ocular pathologies: A systematic review.World journal of gastrointestinal pathophysiology · 2025
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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.

Panpan YeEye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xueyou ZhangDepartment of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yufeng XuEye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jia XuEye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiaoxiao SongDepartment of Endocrinology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Ke YaoEye Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic retinopathy (DR) has been reported to associate with gut microbiota alterations in murine models and thus "gut-retina-axis" has been proposed. However, the role of gut microbiome and the associated metabolism in DR patients still need to be elucidated. In this study, we collected fecal samples from 45 patients with proliferative diabetic retinopathy (PDR) and 90 matched diabetic patients (1:2 according to age, sex, and duration of diabetes) without DR (NDR) and performed 16S rRNA gene sequencing and untargeted metabolomics. We observed significantly lower bacterial diversity in the PDR group than that in the NDR group. Differential gut bacterial composition was also found, with significant depletion of 22 families (e.g.,

Indexed as

cross-omics analysisdiabetic retinopathydiagnostic targetsmetabolomemicrobiome

Identifiers

PMID34566901
PMCPMC8457552

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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.