Evidence map›Paper›PMID 40265938›Full record

ArticleMicrobiology spectrum2025

Xinjie Zhang, Qingxin Pan, Guixiang Yao, Danxia Kong, Haiyan Chen, Qunye Zhang, Zhe Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xinjie Zhang *Department of Geriatrics, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qingxin Pan *Shandong First Medical University Second Affiliated Hospital, Tai'an, Shandong, China.
Guixiang YaoKey Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, Shandong, China.
Danxia KongDepartment of Occupational Lung Disease, Shandong Academy of Occupational Health and Occupational Medicine, Jinan, Shandong, China.
Haiyan ChenDepartment of Geriatrics, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qunye ZhangKey Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, Shandong, China.ORCID 0000-0003-1535-9182
Zhe WangDepartment of Geriatrics, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-1216-7575

Funding

National Natural Science Foundation of China 82470823, 82070820the Clinical Medical Science and Technology Innovation Plan of Jinan 202225044
6 · The paper itself

Abstract

Graves' disease (GD) is a common autoimmune thyroid disease with limited treatment efficacy, high relapse rates, and severe adverse effects. Gut microbiota dysbiosis is thought to play a critical role in GD, with the potential for microbiota-based therapies in GD treatment. However, experimental evidence is needed to validate this hypothesis. In this study, we evaluated the therapeutic effects of the commensal bacterium

Indexed as

Bacteroides fragilisGraves DiseaseMethimazolePropionatesAnimalsCytokinesDisease Models, AnimalDrug SynergismFemaleGastrointestinal MicrobiomeMiceMice, Inbred C57BLT-Lymphocytes, RegulatoryCytokinesMethimazolePropionatesautoimmunityBacteroides fragilisGraves' diseasegut microbiota-based treatmentspropionate

Identifiers

PMID40265938
PMCPMC12131849

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.