Evidence map›Paper›PMID 31741149›Full record

ArticleLasers in medical science2020

The effect of electric field, magnetic field, and infrared ray combination to reduce HOMA-IR index and GLUT 4 in diabetic model of Mus musculus.

Suhariningsih, Dwi Winarni, Saikhu A Husen, Firas Khaleyla, Alfian Pramudita Putra, Suryani D Astuti

Abstract read
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In one paragraph

Article in Lasers in medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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 1 institution in 1 country.

SuhariningsihDepartment of Physics, Faculty of Sciences and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Dwi WinarniDepartment of Biology, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Saikhu A HusenDepartment of Biology, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Firas KhaleylaDepartment of Biology, Faculty of Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Alfian Pramudita PutraBiomedical Engineering Study Program, Department of Physics, Faculty of Sciences and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Suryani D AstutiDepartment of Physics, Faculty of Sciences and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia. suryanidyah@fst.unair.ac.id.ORCID http://orcid.org/0000-0003-3000-0792
Airlangga University · ID

Funding

Universitas Airlangga No. 1408/UN3/2019
6 · The paper itself

Abstract

Diabetes mellitus (DM) is a metabolic disorder characterized by high blood glucose level (hyperglycemia). Type 2 diabetes mellitus is mainly featured by low cell sensitivity towards insulin stimulation, caused by ectopic fat storage. Insulin resistance can be quantified from high number of HOMA-IR index and observed from glucose transporter 4 (GLUT-4) translocation on membrane of skeletal muscle cells. Combined treatment of electric field, magnetic field, and infrared ray have potential to reduce insulin resistance due to improving blood circulation and increasing intracellular Ca

Indexed as

ElectricityInfrared RaysInsulin ResistanceMagnetic FieldsAnimalsBlood GlucoseDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Diet, High-FatDisease Models, AnimalGlucose Transporter Type 4HumansInsulinMaleMice, Inbred BALB CStreptozocinBlood GlucoseGlucose Transporter Type 4InsulinSlc2a4 protein, mouseStreptozocinDiabetic modelElectric fieldInfrared rayInsulin resistanceMagnetic fieldMus musculus

Identifiers

PMID31741149
OpenAlexW2987753834

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.