Evidence map›Paper›PMID 40276605›Full record

ReviewFrontiers in pharmacology2025

Therapeutic potential of botanical drugs and their metabolites in the treatment of pelvic inflammatory disease.

Han-Zhi Zhong, Pei-Jia Yan, Qi-Feng Gao, Jue Wu, Xiao-Li Ji, Shao-Bin Wei

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Long-Term Dynamics of Pelvic Inflammatory Disease Attributable toInternational journal of women's health · 2026
    Article
  2. Article
  3. 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

6 authors.

Han-Zhi Zhong *School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Pei-Jia Yan *School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qi-Feng GaoSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jue WuSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiao-Li JiDepartment of Gynecology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Shao-Bin WeiDepartment of Gynecology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of botanical drugs and their metabolites in the treatment of pelvic inflammatory disease (PID) has garnered significant attention. Owing to their broad-spectrum activity, global accessibility, and structural diversity, botanical drugs have emerged as promising candidates for adjunctive or alternative therapies. This review systematically summarizes botanical drugs and their metabolites, focusing on their antimicrobial potential against endogenous and exogenous pathogens associated with PID. Specifically, it addresses various underlying antibacterial mechanisms, including interference with bacterial cell membranes and cell walls, inhibition of pathogen-specific efflux pumps, modulation of pathogen-related gene expression, and synergistic effects when combined with conventional antibiotics. This review highlights the therapeutic promise of botanical drugs and their metabolites, emphasizing critical findings regarding their inhibitory effects on PID-associated pathogens. Such insights provide valuable guidance for future therapeutic strategies and may support ongoing antibiotic discovery and development.

Indexed as

antimicrobialChlamydia trachomatismechanismNeisseria gonorrhoeaepelvic inflammatory disease

Identifiers

PMID40276605
PMCPMC12018882

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.