Evidence map›Paper›PMID 33435383›Full record

SynthesisMarine drugs2021

Effectiveness of Chitosan as a Dietary Supplement in Lowering Cholesterol in Murine Models: A Meta-Analysis.

Sung-Il Ahn, Sangbuem Cho, Nag-Jin Choi

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Marine drugs, 2021. 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
2.0field-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, 42 citations in OpenAlex.

  1. Review
  2. Current topics in medicinal chemistry · 2026
    Article
  3. Article
  4. Article
  5. Extraction of Active Compounds fromMaterials (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Saudi journal of biological sciences · 2024
    Article
  9. Synthesis and Functions of Resistant Starch.Advances in nutrition (Bethesda, Md.) · 2023
    Review
  10. Article
  11. Review
  12. 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

3 authors at 1 institution in 1 country.

Sung-Il AhnDepartment of Animal Science, Jeonbuk National University, Jeonju 54896, Korea.
Sangbuem ChoDepartment of Animal Science, Jeonbuk National University, Jeonju 54896, Korea.
Nag-Jin ChoiDepartment of Animal Science, Jeonbuk National University, Jeonju 54896, Korea.
Jeonbuk National University · KR

Funding

National Research Foundation of Korea 2020R1C1C1010982
6 · The paper itself

Abstract

This study presents a meta-analysis of studies that investigate the effectiveness of chitosan administration on lifestyle-related disease in murine models. A total of 34 published studies were used to evaluate the effect of chitosan supplementation. The effect sizes for various items after chitosan administration were evaluated using the standardized mean difference. Using Cochran's Q test, the heterogeneity of effect sizes was assessed, after which a meta-ANOVA and -regression test was conducted to explain the heterogeneity of effect sizes using the mixed-effect model. Publication bias was performed using Egger's linear regression test. Among the items evaluated, blood triglyceride and HDL-cholesterol showed the highest heterogeneity, respectively. Other than blood HDL-cholesterol, total cholesterol, and triglyceride in feces, most items evaluated showed a negative effect size with high significance in the fixed- and random-effect model (

Indexed as

Dietary SupplementsAnimalsAnticholesteremic AgentsChitosanHypolipidemic AgentsMiceRatsAnticholesteremic AgentsChitosanHypolipidemic Agentschitosancholesterol loweringlifestyle-related diseasemeta-analysis

Identifiers

PMID33435383
PMCPMC7827691
OpenAlexW3101248201

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.