Evidence map›Paper›PMID 38999886›Full record

ArticleNutrients2024

Haiwei Liu, Dancai Fan, Jin Wang, Yuanyifei Wang, Ang Li, Sihao Wu, Bowei Zhang, Jingmin Liu, Shuo Wang

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Foods (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. 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

9 authors.

Haiwei LiuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.
Dancai FanTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.ORCID 0000-0003-1707-1916
Jin WangTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.
Yuanyifei WangTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.ORCID 0000-0003-2131-0676
Ang LiTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.
Sihao WuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.
Bowei ZhangTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.
Jingmin LiuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.
Shuo WangTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300350, China.

Funding

National Natural Science Foundation of China 32302096the Fundamental Research Funds for the Central Universities, Nankai 614 University 63241340 and 63241341
6 · The paper itself

Abstract

Alcoholic liver damage is caused by long-term or heavy drinking, and it may further progress into alcoholic liver diseases (ALD). Probiotic supplements have been suggested for the prevention or improvement of liver damage. This study was designed to consider the ameliorative effects of

Indexed as

FecesGastrointestinal MicrobiomeLacticaseibacillus rhamnosusLiver Diseases, AlcoholicMice, Inbred C57BLOxidative StressProbioticsAnimalsDisease Models, AnimalEthanolHumansInfantIntestinal MucosaLiverMaleMiceEthanolalcoholic liver damageantioxidantgut microbiotaintestinal barrierLactobacillus rhamnosus

Identifiers

PMID38999886
PMCPMC11243132

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.