Evidence map›Paper›PMID 40370236›Full record

ArticleCurrent diabetes reviews2026

The beneficial Effects of

Ahmad Alkofahi, Karem H Alzoubi, Omar F Khabour, Mohammad A Alzubi, Mohammad S Shawaqfeh, Rania Mahafdeh

Abstract read
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In one paragraph

Article in Current diabetes reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ahmad AlkofahiDepartment of Medicinal Chemistry and Pharmacognosy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Karem H AlzoubiDepartment of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, UAE.
Omar F KhabourDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad A AlzubiDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad S ShawaqfehCollege of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Rania MahafdehDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jadara University, Irbid, 21110, Jordan.

Funding

Scientific Research Funds, Ministry of Higher Education and Scientific Research, Amman, Jordan MPH/02/07/2012
6 · The paper itself

Abstract

introduction

methodsThe anti-obesity, anti-diabetic, and antihyperlipidemic effects of RESULTS AND DISCUSSION: The high-fat diet group treated with Loquat leaf extract >= 200 mg/ml/ kg showed significant weight loss and a beneficial lipid marker profile. However, the glycemic markers were not significantly different.

conclusionThe findings demonstrate that E. japonica leaf extract at doses of ≥200 mg/kg significantly reduces body weight and improves lipid markers in HFD-fed rats. However, glycemic markers such as blood glucose and HbA1c were not significantly affected. These results highlight the potential of E. japonica as a natural weight loss and lipid control aid, warranting further investigation into its mechanisms and clinical applicability.

Indexed as

Anti-Obesity AgentsBlood GlucoseBody WeightEriobotryaHypoglycemic AgentsHypolipidemic AgentsLipidsObesityPlant ExtractsPlant LeavesAnimalsDiet, High-FatGlycated HemoglobinGlycemic ControlMaleRatsAnti-Obesity AgentsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsHypolipidemic AgentsLipidsPlant ExtractsdyslipidemiaEriobotrya japonica leafethanolic extractHigh-fat dietJordanloquatobesity

Identifiers

What OpenQuestion holds

Textmetadata
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.