Evidence map›Paper›PMID 33414777›Full record

ReviewFrontiers in microbiology2020

Novel Opportunity to Reverse Antibiotic Resistance: To Explore Traditional Chinese Medicine With Potential Activity Against Antibiotics-Resistance Bacteria.

Ting Su, Ye Qiu, Xuesi Hua, Bi Ye, Haoming Luo, Da Liu, Peng Qu, Zhidong Qiu

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Jinghua Weikang capsule forFrontiers in pharmacology · 2022
    Pooled it
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  14. A rare waterborne outbreak ofEmerging microbes & infections · 2024
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  19. Disparate Effects of Two Clerodane Diterpenes of Giant Goldenrod (International journal of molecular sciences · 2024
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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

8 authors.

Ting SuCollege of Pharmacy Changchun University of Chinese Medicine, Changchun, China.
Ye QiuCollege of Pharmacy Changchun University of Chinese Medicine, Changchun, China.
Xuesi HuaCollege of Literature, Science and Arts University of Michigan, Ann Arbor, MI, United States.
Bi YeCollege of Pharmacy Changchun University of Chinese Medicine, Changchun, China.
Haoming LuoCollege of Pharmacy Changchun University of Chinese Medicine, Changchun, China.
Da LiuCollege of Pharmacy Changchun University of Chinese Medicine, Changchun, China.
Peng QuNational Cancer Institute, Frederick, MD, United States.
Zhidong QiuCollege of Pharmacy Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is becoming significantly prominent and urgent in clinical practice with the increasing and wide application of antibacterial drugs. However, developing and synthesizing new antimicrobial drugs is costly and time-consuming. Recently, researchers shifted their sights to traditional Chinese medicine (TCM). Here, we summarized the inhibitory mechanism of TCM herbs and their active ingredients on bacteria, discussed the regulatory mechanism of TCM on antibiotic-resistant bacteria, and revealed preclinical results of TCM herbs and their active components against antibiotic-resistant bacteria in mouse models. Those data suggest that TCM herbs and their effective constituents exhibit potential blockage ability on antibiotic-resistant bacteria, providing novel therapeutic ideas for reversing antibiotic resistance.

Indexed as

active ingredientsantibiotic-resistant bacteriamulti-drug resistancereversion mechanismtraditional Chinese medicine

Identifiers

PMID33414777
PMCPMC7782309

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.