Evidence map›Paper›PMID 35497923›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Dayue Shen, Yating Feng, Xilan Zhang, Jing Liu, Le Gong, Hui Liao, Rongshan Li

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Structural Characterization of a Novel Galactoarabinan fromAntioxidants (Basel, Switzerland) · 2026
    Article
  2. Foods (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Elucidating the Anti-Diabetic Mechanisms of Mushroom Chaga (International journal of molecular sciences · 2025
    Article
  5. Comparative Study of Chaga (International journal of molecular sciences · 2025
    Article
  6. Article
  7. Effects ofFrontiers in pharmacology · 2024
    Article
  8. 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

7 authors at 1 institution in 1 country.

Dayue ShenSchool of Pharmacy, Shanxi Medical University, Taiyuan 030001, China.ORCID https://orcid.org/0000-0003-2667-1809
Yating FengSchool of Pharmacy, Shanxi Medical University, Taiyuan 030001, China.ORCID https://orcid.org/0000-0002-3537-3590
Xilan ZhangSchool of Pharmacy, Shanxi Medical University, Taiyuan 030001, China.ORCID https://orcid.org/0000-0002-5692-5729
Jing LiuSchool of Pharmacy, Shanxi Medical University, Taiyuan 030001, China.ORCID https://orcid.org/0000-0001-5101-6510
Le GongSchool of Pharmacy, Shanxi Medical University, Taiyuan 030001, China.ORCID https://orcid.org/0000-0002-8882-0278
Hui LiaoDepartment of Pharmacy, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan 030012, China.ORCID https://orcid.org/0000-0001-6325-062X
Rongshan LiDepartment of Nephrology, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan 030012, China.ORCID https://orcid.org/0000-0002-8082-4389
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Chaga was extracted with 100°C water and precipitated with 80% ethanol. The extracts were studied on RAW264.7 macrophage at resting condition (M0) and lipopolysaccharide (LPS)-activated subtype (classic activated macrophage, M1). The IL-1 Results: The 100 g extracts contained 13.7 g polysaccharides and 1.9 g polyphenols. Compared with M0, the 50 Conclusions: Our research suggested that the bilateral effects of the chaga extracts on iNOS, IL-1

Identifiers

PMID35497923
PMCPMC9050302
OpenAlexW4224252590

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.