Evidence map›Paper›PMID 34239583›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Antiamylase, Antiglucosidase, and Antiglycation Properties of Millets and Sorghum from Sri Lanka.

Ilangasingha Gamlathge Nethmini Hansika Senevirathne, Walimuni Kanchana Subhashini Mendis Abeysekera, Walimuni Prabhashini Kaushalya Mendis Abeysekera, Nileththi Yasendra Jayanath, Sirimal Premakumara Galbada Arachchige, Danthasingha Chithra Mulacharige Susantha Indika Wijewardana

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Valorization of Rice Husk (Foods (Basel, Switzerland) · 2023
    Article
  3. Review
  4. Molecules (Basel, Switzerland) · 2022
    Article
  5. Article
  6. 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.

Ilangasingha Gamlathge Nethmini Hansika SenevirathneDepartment of Food Science and Technology, Faculty of Agriculture, University of Peradeniya, Peradeniya, Kandy, Sri Lanka.ORCID https://orcid.org/0000-0002-6964-7318
Walimuni Kanchana Subhashini Mendis AbeysekeraDepartment of Agricultural Technology, Faculty of Technology, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0001-8655-8678
Walimuni Prabhashini Kaushalya Mendis AbeysekeraDepartment of Biosystems Technology, Faculty of Technology, University of Sri Jayewardenepura, Nugegoda, Colombo, Sri Lanka.
Nileththi Yasendra JayanathDepartment of Food Science and Technology, Faculty of Agriculture, University of Peradeniya, Peradeniya, Kandy, Sri Lanka.
Sirimal Premakumara Galbada ArachchigeIndustrial Technology Institute (ITI), Halbarawa Gardens, Malabe, Colombo, Sri Lanka.
Danthasingha Chithra Mulacharige Susantha Indika WijewardanaField Crop Research and Development Institute, Department of Agriculture, Mahailuppallama, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study evaluated a range of biological activities of selected millet types and sorghum varieties in Sri Lanka in relation to diabetes and its complications management. Five millet types, namely, proso millet, white finger millet, kodo millet, foxtail millet, and finger millet (Oshadha and Rawana), and two sorghum varieties, namely, sweet sorghum and sorghum ICSV 112, were used in this study. Methanolic extracts of whole grains were studied for antiamylase, antiglucosidase, and early- and middle-stage antiglycation and glycation reversing activities

Identifiers

PMID34239583
PMCPMC8233094

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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.