Evidence map›Paper›PMID 37608892›Full record

ReviewFrontiers in pharmacology2023

Potential use of the Asteraceae family as a cure for diabetes: A review of ethnopharmacology to modern day drug and nutraceuticals developments.

Yugal Kishore Mohanta, Awdhesh Kumar Mishra, Amilia Nongbet, Ishani Chakrabartty, Saurov Mahanta, Bhaskar Sarma, Jibanjyoti Panda, Sujogya Kumar Panda

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Antidiabetic Potential ofPlants (Basel, Switzerland) · 2025
    Review
  7. Journal of traditional and complementary medicine · 2025
    Article
  8. Article
  9. Review
  10. Golden thistle (Food science & nutrition · 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

8 authors at 3 institutions in 2 countries.

Yugal Kishore MohantaNano-biotechnology and Translational Knowledge Laboratory, Department of Applied Biology, School of Biological Sciences, University of Science and Technology Meghalaya (USTM), Techno City, Meghalaya, India.
Awdhesh Kumar MishraDepartment of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea.
Amilia NongbetDepartment of Botany, School of Biological Sciences, University of Science and Technology Meghalaya (USTM), Techno City, Meghalaya, India.
Ishani ChakrabarttyLearning and Development Solutions, Indegene Pvt. Ltd., Manyata Tech Park, Bangalore, India.
Saurov MahantaGuwahati Centre, National Institute of Electronics and Information Technology (NIELIT), Guwahati, Assam, India.
Bhaskar SarmaDepartment of Botany, Dhemaji College, Dhemaji, Assam, India.
Jibanjyoti PandaNano-biotechnology and Translational Knowledge Laboratory, Department of Applied Biology, School of Biological Sciences, University of Science and Technology Meghalaya (USTM), Techno City, Meghalaya, India.
Sujogya Kumar PandaCenter of Environment Climate Change and Public Health, RUSA 2.0, Utkal University, Bhubaneswar, Odisha, India.
University of Science and Technology, Meghalaya · INUtkal University · INYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diabetes

Indexed as

AsteraceaediabetesDiaNat-DBdrug developmentethnomedicinenutraceuticals

Identifiers

PMID37608892
PMCPMC10441548
OpenAlexW4385519968

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.