Evidence map›Paper›PMID 35252271›Full record

ReviewFrontiers in medicine2022

Selection and Warning of Evidence-Based Antidiabetic Medications for Patients With Chronic Liver Disease.

Fu-Shun Yen, Chih-Cheng Hsu, James Cheng-Chung Wei, Ming-Chih Hou, Chii-Min Hwu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Impact of GLP-1RA on the Risk of Adverse Liver Outcomes Among Patients With Alcohol-Associated Liver Disease and Type 2 Diabetes.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. 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

5 authors at 4 institutions in 1 country.

Fu-Shun YenDr. Yen's Clinic, Taoyuan, Taiwan.
Chih-Cheng HsuInstitute of Population Health Sciences, National Health Research Institute, Miaoli, Taiwan.
James Cheng-Chung WeiInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Ming-Chih HouInstitute of Clinical Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
Chii-Min HwuInstitute of Clinical Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
China Medical University · TWNational Health Research Institutes · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global prevalence of chronic liver disease and diabetes mellitus (DM) has gradually increased potentially due to changes in diet and lifestyle. The choice of antidiabetic medications for patients with coexisting DM and chronic liver disease is complicated. Severe liver injury may decrease the metabolism of antidiabetic medications, resulting in elevated drug concentrations and adverse effects. The choice of antidiabetic medications in patients with chronic liver disease has not been well studied. The long-term outcomes of antidiabetic medications in patients with chronic liver disease have gained attention recently. Herein, we reviewed relevant articles to extend our understanding on the selection and warning of antidiabetic medications for patients with chronic liver disease.

Indexed as

antidiabetic medicationchronic liver diseasecompensated liver cirrhosisdecompensated liver cirrhosisdiabetes mellitus

Identifiers

PMID35252271
PMCPMC8888965
OpenAlexW4213246349

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.