Evidence map›Paper›PMID 34471420›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2021

Pharmacokinetics and Pharmacological Activities of Berberine in Diabetes Mellitus Treatment.

Yunfeng Han, Yunan Xiang, Yi Shi, Xi Tang, Lin Pan, Jie Gao, Ruohong Bi, Xianrong Lai

Abstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Molecular landscape of Berberine's therapeutic potential in gastrointestinal disorders.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026
    Review
  7. Article
  8. Article
  9. A multi-omics integrative analyses revealsFrontiers in pharmacology · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Antioxidant and Cytotoxic Properties ofMolecules (Basel, Switzerland) · 2024
    Article
  20. 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

8 authors.

Yunfeng HanSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.ORCID https://orcid.org/0000-0001-8323-8185
Yunan XiangSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.
Yi ShiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.
Xi TangSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.
Lin PanSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.
Jie GaoSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.
Ruohong BiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.
Xianrong LaiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan, China.ORCID https://orcid.org/0000-0002-1133-1505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) has good clinical application prospects in diabetes treatment. In addition, TCM is less toxic and/or has fewer side effects and provides various therapeutic effects. Berberine (BBR) is isolated as the main component in many TCM kinds (e.g.,

Identifiers

PMID34471420
PMCPMC8405293

What OpenQuestion holds

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Registered trials

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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.