Evidence map›Paper›PMID 31890663›Full record

ArticleJournal of diabetes and metabolic disorders2019

Effects of moderate-intensity continuous training and high-intensity interval training on serum levels of Resistin, Chemerin and liver enzymes in Streptozotocin-Nicotinamide induced Type-2 diabetic rats.

Parastesh Mohammad, Khosravi Zadeh Esfandiar, Saremi Abbas, Rekabtalae Ahoora

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 26 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

4 authors at 1 institution in 1 country.

Parastesh Mohammad1Faculty of Sport Sciences, Department of Sports Physiology and Pathology, Arak University, Arak, 38156-8-8349 Iran.
Khosravi Zadeh Esfandiar2Faculty of Sport Sciences, Department of Sports Management, Arak University, Arak, 38156-8-8349 Iran.
Saremi Abbas2Faculty of Sport Sciences, Department of Sports Management, Arak University, Arak, 38156-8-8349 Iran.
Rekabtalae Ahoora1Faculty of Sport Sciences, Department of Sports Physiology and Pathology, Arak University, Arak, 38156-8-8349 Iran.
Arak University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the effects of of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) in serum resistin, chemerin, insulin, liver enzymes and lipid profiles levels.

methods24 Wistar rats with mean weight of 200 ± 50 g were randomly assigned to non-diabetic rats (ND-Cnt), diabetic control (D-Cnt), diabetic training groups. The diabetic training group received 10 weeks of HIIT (D-HIIT) and MICT (D-MICT) following the induction of diabetes. Evaluating resistin, chemerin and insulin hormones levels through ELISA. FBS and liver enzyme levels were measured by biochemical kits.

resultsHIIT and MICT resulted in a significant decrease in resistin, chemerin and fasting blood glucose (

conclusionIn general, our findings demonstrated that the HIIT leads to better improvements in serum liver enzyme levels, FBS and lipid profiles compared to MICT. HIIT therefore appears to be an important time-efficient treatment for treatment with type 2 diabetes rats.

Indexed as

ChemerinDiabeticHigh-intensity interval training (HIIT)Liver enzymeModerate-intensity continuous training (MICT)Resistin

Identifiers

PMID31890663
PMCPMC6914745
OpenAlexW2979548388

What Socratic 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 Socratic graph.