Evidence map›Paper›PMID 30682840›Full record

ArticleMolecules (Basel, Switzerland)2019

Potent in Vitro α-Glucosidase Inhibition of Secondary Metabolites Derived from

Surriya Amin, Barkat Ullah, Mumtaz Ali, Abdur Rauf, Haroon Khan, Eugenio Uriarte, Eduardo Sobarzo-Sánchez

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Surriya AminDepartment of Botany, Islamia College University, Peshawar 25000, Pakistan. saafridi2013@hotmail.com.
Barkat UllahDepartment of Botany, Islamia College University, Peshawar 25000, Pakistan. bu_barq@yahoo.com.
Mumtaz AliDepartment of Chemistry, University of Malakand, Upper Dir 23050, Pakistan. mumtazali@uom.edu.pk.
Abdur RaufDepartment of Chemistry, University of Swabi, Khyber Pakhtunkhwa, Anbar 23430, Pakistan. mashaljcs@yahoo.com.ORCID 0000-0003-2429-5491
Haroon KhanDepartment of Pharmacy, Abdul Wali Khan University, Mardan 23200, Pakistan. hkdr2006@gmail.com.ORCID 0000-0002-1736-4404
Eugenio UriarteInstituto de Ciencias Químicas Aplicadas, Universidad Autónoma de Chile, Santiago 7500912, Chile. eugenio.uriarte@usc.es.
Eduardo Sobarzo-SánchezInstituto de Investigación e Innovación en Salud, Facultad de Ciencias de la Salud, Universidad Central de Chile, Santiago 8330507, Chile. e.sobarzo@usc.es.
Islamia College University · PKUniversidade de Santiago de Compostela · ESAbdul Wali Khan University Mardan · PKUniversity of Malakand · PKUniversity of Swabi · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

α-glucosidase is responsible for the hydrolysis of complex carbohydrates into simple absorbable glucose and causes postprandial hyperglycemia. α-glucosidase inhibition is thus the ideal target to prevent postprandial hyperglycemia. The present study was therefore designed to analyze the effects of various compounds isolated from

Indexed as

Acarbosealpha-GlucosidasesDryopterisGalactoseGlycoside Hydrolase InhibitorsMolecular Docking SimulationMolecular StructurePhytochemicalsProtein BindingQuercetinSecondary MetabolismSitosterolsStructure-Activity RelationshipAcarbosealpha-GlucosidasesGalactosegamma-sitosterolGlycoside Hydrolase InhibitorsPhytochemicalsQuercetinSitosterolsDryopteris cycadinaisolated compoundsmolecular dockingα-glucosidase inhibition

Identifiers

PMID30682840
PMCPMC6384922
OpenAlexW2914106630

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.