Evidence map›Paper›PMID 28209076›Full record

ArticlePharmaceutical biology2017

An ethnopharmacological study of aromatic Uyghur medicinal plants in Xinjiang, China.

Lu Zhao, Shuge Tian, E Wen, Halmuart Upur

Abstract read
In one paragraph

Article in Pharmaceutical biology, 2017. 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

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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.

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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

4 authors.

Lu Zhaoa College of Chemistry and Chemical Engineering , Xinjiang Normal University , Urumqi , Xinjiang , China.
Shuge Tianb Central Laboratory of Xinjiang Medical University , Urumqi , Xinjiang , China.
E Wenc College of TCM , Xinjiang Medical University , Urumqi , Xinjiang , China.
Halmuart Upurb Central Laboratory of Xinjiang Medical University , Urumqi , Xinjiang , China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAn ethnobotanical survey was completed in a remote village and surrounding country of Xinjiang, where most Uyghur medicinal plants could be collected. This work clarifies and increases ethnobotanical data.

objectivesWe surveyed and organized aromatic medicinal plants that are commonly used in clinical settings to provide a significant reference for studying new medical activities. MATERIALS AND

methodsIn the survey, informants who have traditional knowledge on aromatic Uyghur medicinal plants were interviewed between March 2014 and September 2014. Aromatic medicinal plant species and pertinent information were collected. Some therapeutic methods and modes of preparation of traditional aromatic medicinal plants were found.

resultsA total of 86 aromatic medicinal plant species belonging to 36 families were included in our study. We identified 34 plant species introduced from different regions such as Europe, India and Mediterranean areas. Fruits and whole plants were the most commonly used parts of plant, and most aromatic medicinal plants could be applied as medicine and food. We assigned the medicinal plants a use value (UV). Knowing the UV of species is useful in determining the use reliability and pharmacological features of related plants.

conclusionsXinjiang is an area in which indigenous aromatic medicinal plants are diversely used and has therefore established a sound dimensional medical healthcare treatment system. Some aromatic Uyghur medicinal plants are on the verge of extinction. Hence, further strategies for the conservation of these aromatic medicinal plants should be prioritized.

Indexed as

EthnobotanyEthnopharmacologyMedicine, Chinese TraditionalOdorantsPerfumePhytotherapyAsian PeopleChinaCultural CharacteristicsHealth Knowledge, Attitudes, PracticeHumansInterviews as TopicPlant ExtractsPlants, MedicinalSurveys and QuestionnairesPerfumePlant ExtractsEthnicherbstraditionaluse valuevolatile oil

Identifiers

PMID28209076
PMCPMC6130679

What OpenQuestion holds

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LicenceCC BY
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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.