Evidence map›Paper›PMID 36687673›Full record

ArticleFrontiers in nutrition2022

Mei Han, Wenyan Liao, Yao Dong, Chen Bai, Zhonghui Gai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Hypoglycemic Effects ofMolecules (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Food science & nutrition · 2026
    Article
  7. Article
  8. Fecal Microbiome and Urine Metabolome Profiling of Type 2 Diabetes.Journal of microbiology and biotechnology · 2025
    Article
  9. Review
  10. Article
  11. Review
  12. Frontiers in nutrition · 2024
    Article
  13. The Effects of ProbioticInternational journal of molecular sciences · 2023
    Article
  14. The Influence of Gut Microbial Species on Diabetes Mellitus.International journal of molecular sciences · 2023
    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.

Mei HanDepartment of Food Science, Shanghai Business School, Shanghai, China.
Wenyan LiaoState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Center of Dairy Biotechnology, Bright Dairy & Food Co., Ltd., Shanghai, China.
Yao DongDepartment of Research and Development, Wecare Probiotics (Suzhou) Co., Ltd., Suzhou, China.
Chen BaiDepartment of Food Science, Shanghai Business School, Shanghai, China.
Zhonghui GaiDepartment of Research and Development, Wecare Probiotics (Suzhou) Co., Ltd., Suzhou, China.
Shanghai Business School · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Type 2 diabetes mellitus (T2DM) is a metabolic disease that has led to a significant global public health burden. Methods: In this work, we investigated the effects of Results: We found that 10 Discussion: The supplementation of Hao9 improved gut microbiota, glucose metabolism, and insulin levels significantly in T2DM mice. That means Hao9 contributes to improving T2DM symptoms with its potential beneficial effects. Therefore, Hao9 is a promising dietary supplement for the treatment of T2DM.

Indexed as

gut microbiotaLacticaseibacillus rhamnosus Hao9liver ROSserum inflammatory factorstype 2 diabetes mellitus

Identifiers

PMID36687673
PMCPMC9849894
OpenAlexW4313560903

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.