Evidence map›Paper›PMID 35783435›Full record

ArticleFrontiers in microbiology2022

The Gut Mycobiome Characterization of Gestational Diabetes Mellitus and Its Association With Dietary Intervention.

Na Wu, Heng Mo, Qing Mu, Peng Liu, Guoli Liu, Weidong Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Gut mycobiome dysbiosis after sepsis and trauma.Critical care (London, England) · 2024
    Article
  10. Review
  11. Detection ofFrontiers in cellular and infection microbiology · 2024
    Article
  12. The Protective Effect ofMolecules (Basel, Switzerland) · 2023
    Article
  13. Review
  14. Article
  15. Article
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 at 2 institutions in 1 country.

Na WuDepartment of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.
Heng MoDepartment of Stomatology, Peking University People's Hospital, Beijing, China.
Qing MuDepartment of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.
Peng LiuDepartment of Clinical Nutrition, Peking University People's Hospital, Beijing, China.
Guoli LiuDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Weidong YuDepartment of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.
Peking University People's Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a high-risk pregnancy complication that is associated with metabolic disorder phenotypes, such as abnormal blood glucose and obesity. The active interface between gut microbiota and diet contributes to metabolic homeostasis in GDM. However, the contributions of gut mycobiome have been neglected. Here, we profiled the gut fungi between GDM and healthy subjects at two time points and investigate whether variations in gut mycobiome correlate with key features of host metabolism and diet management in this observational study. We identified that

Indexed as

diet interventionfungal-bacterial interactionGDMgut mycobiomepolysaccharide-producing genera

Identifiers

PMID35783435
PMCPMC9240440
OpenAlexW4282918753

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.