Evidence map›Paper›PMID 37151714›Full record

ArticleHeliyon2023

The use of medicinal plants in common ophthalmic disorders: A systematic review with meta-analysis.

Ali Hendi Alghamdi, Aimun A E Ahmed, Mahadi Bashir, Haidar Abdalgadir, Asaad Khalid, Sheraz Gul

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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. Plant-Based Care and Therapy in Ophthalmology.Antioxidants (Basel, Switzerland) · 2025
    Review
  2. Review
  3. Article
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.

Ali Hendi AlghamdiSurgery Department, Faculty of Medicine, Al Baha University, Al Baha, Saudi Arabia.
Aimun A E AhmedPharmacology Department, Faculty of Medicine, Al Baha University, Al Baha, Saudi Arabia.
Mahadi BashirSurgery Department, Faculty of Medicine, Al Baha University, Al Baha, Saudi Arabia.
Haidar AbdalgadirBiology Department, Faculty of Science, Al Baha University, Al Baha, Saudi Arabia.
Asaad KhalidSubstance Abuse and Toxicology Research Center, Jazan University, P. O. Box: 114, Jazan, Saudi Arabia.
Sheraz GulFraunhofer Institute for Translational Medicine and Pharmacology, Schnackenburgallee 114, D-22525 Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to assess and compile the available research articles about medicinal plants used for ocular diseases. Principal results: A total of 2949 articles were retrieved, 35 full-text articles were assessed for eligibility, and seven studies (4 observational and three experimental) with low to moderate quality were eligible and involved in the systematic review, with a total of 600 plants from 4 countries. Among the 600 plants, only 24 (4%) were used to assess the status. Both the fixed and random models of the studies showed that the included studies tended to predict the results for the observational studies (OR = 0.062, CI = 0.043-0.090 OR = 0.039, CI = 0.012-0.122) for different plants used for ocular diseases. High heterogeneity (estimated as I Conclusion: Few articles representing approximately 600 plants of low to moderate quality reported using medicinal plants for ocular diseases. The meta-analysis confirmed the systematic review findings regarding the plants' traditional use with high heterogeneity and publication bias. A considerable gap was proven in the use of medicinal plants in ocular diseases requiring intensive research.

Indexed as

Forest plotFunnel plotMedicinal plantsMeta-analysisOphthalmicPrisma chartSystematic review

Identifiers

PMID37151714
PMCPMC10161615

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.