Evidence map›Paper›PMID 29441019›Full record

ReviewFrontiers in pharmacology2018

Natural Medicines Used in the Traditional Tibetan Medical System for the Treatment of Liver Diseases.

Qi Li, Hai-Jiao Li, Tong Xu, Huan Du, Chen-Lei Huan Gang, Gang Fan, Yi Zhang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Review
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  5. Saffron andWorld journal of gastroenterology · 2025
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  7. Review
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  14. Inferring Therapeutic Targets inLife (Basel, Switzerland) · 2022
    Article
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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.

Qi LiCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hai-Jiao LiCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Tong XuCollege of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Huan DuCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chen-Lei Huan GangCollege of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Gang FanCollege of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yi ZhangCollege of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver disease is one of the most risk factors threatening human health. It is of great significance to find drugs that can treat liver diseases, especially for acute and chronic hepatitis, non-alcoholic fatty liver disease, and liver cancer. The search for drugs with good efficacy from traditional natural medicines has attracted more and more attention. Tibetan medicine, one of the China's traditional medical systems, has been widely used by the Tibetan people for the prevention and treatment of liver diseases for hundreds of years. The present paper summarized the natural Tibetan medicines that have been used in Tibetan traditional system of medicine to treat liver diseases by bibliographic investigation of 22 Tibetan medicine monographs and drug standards. One hundred and ninety three species including 181 plants, 7 animals, and 5 minerals were found to treat liver diseases in traditional Tibetan medicine system. The most frequently used species are

Indexed as

Brag-zhunCarthamus tinctoriushepatitisliver diseasesnatural medicinesSwertia chirayitatraditional Tibetan medicine

Identifiers

PMID29441019
PMCPMC5797630

What OpenQuestion holds

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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.