Evidence map›Paper›PMID 40655710›Full record

ReviewJournal of pharmacy & bioallied sciences2025

Herbal Remedies: A Complementary Approach to Diabetes Mellitus Management.

Anupa Sivakumar, Prarthana Kalerammana Gopalakrishna, Sunil Pazhayanur Venkateswaran, Amardev Singh Thanu, Saravanan Jagadeesan, Radhakrishna S Kommanda, Vishnumukkala Thirupathirao

Abstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anupa SivakumarDepartment of Human Biology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur, Malaysia.
Prarthana Kalerammana GopalakrishnaDepartment of Human Biology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur, Malaysia.
Sunil Pazhayanur VenkateswaranDepartment of Pathology and Pharmacology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur, Malaysia.
Amardev Singh ThanuDepartment of Anatomy, M. Kandiah Faculty of Medicine and Health Sciences, University Tunku Abdul Rahman, Kajang, Selangor, Malaysia.
Saravanan JagadeesanDepartment of Anatomy, School of Medicine, Taylors University, Lakeside Campus, Selangor, Malaysia.
Radhakrishna S KommandaDepartment of Anatomy, Manipal University College Malaysia, Melaka, Malaysia.
Vishnumukkala ThirupathiraoDepartment of Human Biology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a metabolic disorder characterized by hyperglycemia due to deficiencies in insulin secretion and action, or both, affecting 463 million individuals worldwide and leading to significant health complications. Current therapies focus on symptom relief and delay onset of complications; however, a multitargeted approach is essential to avert complications and achieve optimal glycemic control-utilizing herbal medications used in Ayurveda and Chinese medicine. Herbal remedies have been tested on animal models to assess their efficacy in diabetes prevention and optimize glucose metabolism. A comprehensive search of scientific databases, including Medline, Scopus, EBSCO, and others, was performed. Numerous scientific studies have demonstrated that the phytochemicals found in medicinal plants exhibit antihyperglycemic properties. This research examines the therapeutic properties of

Indexed as

Complementary treatmentdiabetes mellitusphytotherapy

Identifiers

PMID40655710
PMCPMC12244820

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.