Evidence map›Paper›PMID 28683559›Full record

ReviewAmerican journal of Alzheimer's disease and other dementias2017

Botanical Sources for Alzheimer's: A Review on Reports From Traditional Persian Medicine.

Ayda Hosseinkhani, Ali Sahragard, Aida Namdari, Mohammad M Zarshenas

Abstract readReview
In one paragraph

Review in American journal of Alzheimer's disease and other dementias, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Neuroprotective effect of standardizedFrontiers in pharmacology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. The Effect of a Traditional Preparation ContainingBioMed research international · 2021
    Article
  6. Review
  7. Review
  8. Article
  9. 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

4 authors.

Ayda Hosseinkhani1 Research Center for Traditional Medicine and History of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali Sahragard3 Students Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Aida Namdari3 Students Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad M Zarshenas1 Research Center for Traditional Medicine and History of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbal medicines for the treatment of Alzheimer's disease (AD) have attracted considerable attention nowadays. Alzheimer's disease is described in traditional Persian medicine (TPM) by the term Nesyān. In this study, 5 main medicinal medieval Persian manuscripts were reviewed to filter plants reported for the treatment of Nesyān. Databases were searched for related possible mechanisms of action of these medicinal plants. Each herb was searched for along with these keywords: "acetyl and butyryl cholinesterase inhibition," "antioxidant," "anti-inflammatory," and "anti-amyloidogenic." In Total, 44 herbs were used for the treatment of Nesyān; 40 of those were authenticated. Also, 30 plants had at least one of the mechanisms of action that were searched for or related pharmacological functions known for the treatment of AD. In this work, we introduce promising candidates in TPM that could undergo further investigation for identification of their active compounds and clinical validation in the treatment of AD.

Indexed as

Medicine, TraditionalPlants, MedicinalAlzheimer DiseaseAntioxidantsHumansIranPhytotherapyAntioxidantsAlzheimer’s diseasedrug discovery.traditional medicine

Identifiers

PMID28683559
PMCPMC10852953

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.