Evidence map›Paper›PMID 29238476›Full record

ArticleIranian journal of basic medical sciences2017

Anti-hyperglycemic and antioxidant potential of

Uma Dharshini Karuppiah Vijayamuthuramalingam, Rajeswari Rajaram, Kalaivani Madhavaram Kuppusamy, Bhavana Jonnalagadda, Sumathy Arokiasamy

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 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
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Plants (Basel, Switzerland) · 2023
    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

5 authors at 1 institution in 1 country.

Uma Dharshini Karuppiah VijayamuthuramalingamDepartment of Biomedical Sciences, Sri Ramachandra University, Porur, Chennai, India.
Rajeswari RajaramDepartment of Biomedical Sciences, Sri Ramachandra University, Porur, Chennai, India.
Kalaivani Madhavaram KuppusamyDepartment of Biomedical Sciences, Sri Ramachandra University, Porur, Chennai, India.
Bhavana JonnalagaddaDepartment of Biomedical Sciences, Sri Ramachandra University, Porur, Chennai, India.
Sumathy ArokiasamyDepartment of Biomedical Sciences, Sri Ramachandra University, Porur, Chennai, India.
Sri Ramachandra Institute of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiabetes mellitus, a carbohydrate metabolic disorder, occurs due to absolute or relative deficiency of insulin. Current treatment strategies involve either preventing or delaying the intestinal absorption of glucose to lower the levels of postprandial hyperglycemia (PPHG). Herbal remedies have been since ancient times for treating diabetes mellitus. Therefore, identifying novel phytocompounds with α-amylase and α-glucosidase inhibitory activity that would reduce the glucose absorption as well as the rise in postprandial blood glucose level is vital. Consequently, the present study was aimed to investigate the anti-hyperglycemic activity of MATERIALS AND

methodsThe methanol extract of

resultsThe chloroform fraction (ChF) was found to contain highest quantity of polyphenols (114.28 µg/ml of GAE), flavonoids (95.68 µg/ml of quercetin) and tannins (63.80 µg/ml of GAE) and also possessed effective inhibitory activity against α amylase (IC

conclusionThe study findings suggest that the components present in the leaves of

Indexed as

AntihyperglycemiaPolyphenolsPostprandial hyperglycemiaα-Amylaseα-Glucosidase

Identifiers

PMID29238476
PMCPMC5723001
OpenAlexW2768689515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.