ReviewFrontiers in pharmacology2020
Medicinal Plants and Phytochemicals for the Treatment of Pulmonary Hypertension.
Review in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 37 citations in OpenAlex.
- Multifaceted mechanisms of plant metabolites in pulmonary arterial hypertension: a critical review beyond vasodilation.Frontiers in pharmacology · 2026Review
- A Plant-Based Diet Alleviates Molecular Pulmonary Abnormalities in Hypertension.Advances in respiratory medicine · 2025Article
- Traditional Herbal Plants and their Phytoconstituents Based Remedies for Respiratory Diseases: A Review.The open respiratory medicine journal · 2025Review
- Network pharmacology and molecular docking: combined computational approaches to explore the antihypertensive potential of Fabaceae species.Bioresources and bioprocessing · 2024Article
- Phytosomes as an Emerging Nanotechnology Platform for the Topical Delivery of Bioactive Phytochemicals.Pharmaceutics · 2021Review
- Anti-Inflammatory Effect of Allicin Associated with Fibrosis in Pulmonary Arterial Hypertension.International journal of molecular sciences · 2021Article
- Nutraceuticals in the Treatment of Pulmonary Arterial Hypertension.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPulmonary hypertension (PH) is a progressive disease that is associated with pulmonary arteries remodeling, right ventricle hypertrophy, right ventricular failure and finally death. The present study aims to review the medicinal plants and phytochemicals used for PH treatment in the period of 1994 - 2019.
methodsPubMed, Cochrane and Scopus were searched based on pulmonary hypertension, plant and phytochemical keywords from August 23, 2019. All articles that matched the study based on title and abstract were collected, non-English, repetitive and review studies were excluded.
resultsFinally 41 studies remained from a total of 1290. The results show that many chemical treatments considered to this disease are ineffective in the long period because they have a controlling role, not a therapeutic one. On the other hand, plants and phytochemicals could be more effective due to their action on many mechanisms that cause the progression of PH.
conclusionStudies have shown that herbs and phytochemicals used to treat PH do their effects from six mechanisms. These mechanisms include antiproliferative, antioxidant, antivascular remodeling, anti-inflammatory, vasodilatory and apoptosis inducing actions. According to the present study, many of these medicinal plants and phytochemicals can have effects that are more therapeutic than chemical drugs if used appropriately.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.