Evidence map›Paper›PMID 38107140›Full record

ArticleFood science & nutrition2023

Unlocking the anti-diabetic potential of

Muhammad Kashif, Amar Nasir, Gulzaman, Muhammad Kamran Rafique, Mazhar Abbas, Aziz Ur Rehman, Muhammad Riaz, Ghulam Rasool, Andrew G Mtewa

Abstract read
In one paragraph

Article in Food science & nutrition, 2023. 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. Review
  3. Review
  4. Article
  5. Antidiabetic potential of fenugreek (Food science & nutrition · 2024
    Review
  6. Unlocking the anti-diabetic potential ofFood 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

9 authors.

Muhammad KashifDepartment of Clinical Sciences (Section Clinical Medicine), College of Veterinary and Animal Sciences University of Veterinary and Animal Sciences, Lahore (Jhang Campus) Jhang Pakistan.
Amar NasirDepartment of Clinical Sciences (Section Clinical Medicine), College of Veterinary and Animal Sciences University of Veterinary and Animal Sciences, Lahore (Jhang Campus) Jhang Pakistan.
GulzamanDepartment of Clinical Sciences (Section Clinical Medicine), College of Veterinary and Animal Sciences University of Veterinary and Animal Sciences, Lahore (Jhang Campus) Jhang Pakistan.
Muhammad Kamran RafiqueDepartment of Pathobiology, College of Veterinary and Animal Sciences University of Veterinary and Animal Sciences, Lahore (Jhang Campus) Jhang Pakistan.
Mazhar AbbasDepartment of Basic Sciences (Section Biochemistry), College of Veterinary and Animal Sciences University of Veterinary and Animal Sciences, Lahore (Jhang Campus) Jhang Pakistan.
Aziz Ur RehmanDepartment of Pathobiology, College of Veterinary and Animal Sciences University of Veterinary and Animal Sciences, Lahore (Jhang Campus) Jhang Pakistan.
Muhammad RiazDepartment of Allied Health Sciences University of Sargodha Sargodha Pakistan.ORCID https://orcid.org/0000-0002-5524-7735
Ghulam RasoolDepartment of Allied Health Sciences University of Sargodha Sargodha Pakistan.
Andrew G MtewaChemistry Section, Malawi Institute of Technology Malawi University of Science and Technology Limbe Malawi.ORCID https://orcid.org/0000-0003-2618-7451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study aimed to explore the anti-diabetic effect of aqueous extracts of

Indexed as

anti‐diabetic effectdiabetesglucose levelGymnema sylvestreserum biochemistryTrigonella foenum‐graecum

Identifiers

PMID38107140
PMCPMC10724615

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.