Evidence map›Paper›PMID 35711333›Full record

ReviewInternational journal of endocrinology2022

Molecular Mechanisms of Hawthorn Extracts in Multiple Organs Disorders in Underlying of Diabetes: A Review.

Izadpanah Gheitasi, Feryal Savari, Ghaidafeh Akbari, Jamshid Mohammadi, Ali Reza Fallahzadeh, Hossein Sadeghi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of endocrinology, 2022. 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
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  6. Review
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 at 2 institutions in 1 country.

Izadpanah GheitasiMedicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.ORCID https://orcid.org/0000-0003-0533-1100
Feryal SavariDepartment of Basic Sciences, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.ORCID https://orcid.org/0000-0003-0922-4740
Ghaidafeh AkbariMedicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.ORCID https://orcid.org/0000-0003-0454-2002
Jamshid MohammadiMedicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.ORCID https://orcid.org/0000-0003-2104-9906
Ali Reza FallahzadehCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.ORCID https://orcid.org/0000-0003-3658-4661
Hossein SadeghiMedicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.ORCID https://orcid.org/0000-0001-8465-5933
Yasuj University of Medical Sciences · IRIslamic Azad University, Shoushtar Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is one of the most important metabolic disorders associated with chronic hyperglycemia and occurs when the body cannot manage insulin secretion, insulin action, or both. Autoimmune destruction of pancreatic beta cells and insulin resistance are the major pathophysiological factors of types 1 and 2 of DM, respectively. Prolonged hyperglycemia leads to multiple organs dysfunctions, including nephropathy, neuropathy, cardiomyopathy, gastropathy, and micro- and macrovascular disorders. The basis of the metabolic abnormalities in carbohydrate, fat, and protein in diabetes is insufficient action of insulin on various target tissues. Medicinal plants are rich sources of bioactive chemical compounds with therapeutic effects. The beneficial effects of leaves, fruits, and flowers extracts of

Identifiers

PMID35711333
PMCPMC9197671
OpenAlexW4281931767

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.